US 6,041,135 AGrant
Fast Interactive Off-Line Processing Method for Radiographic Images
Issue Date:2000-03-21
•14 Claims
•5 Drawing Sheets
Abstract
A fast off-line image processing method for radiographic images is disclosed wherein an image is decomposed into detail image and multiple resolution levels and a residual image, detail images are modified up to a preset resolution level and a processed image is reconstructed by means of the modified detail images and the residual image. Interactive processing is performed with different parameter settings.
Metadata
Inventors
- Tom Guido Buytaert
- Stefan Clemens Van de Velde
- Pieter Paul Vuylsteke
Application Information
Application Number:US 9655778
Filing Date:1997-11-06
Priority Date:1993-06-28
Art Unit:273
Classifications
IPC:
G06K 900
Field of Search:
382342378132;299;302;254;300;29817987;58.12
Patent Drawings (5 sheets)
Description
Field of the Invention
The present invention is in the field of digital radiography and more specifically relates to image processing and display of digital radiographic images on a workstation.
Background of the Invention
In the field of digital radiography a wide variety of image acquisition techniques have been developed rendering a digital representation of a radiographic image.
Among such techniques are computerised tomography, nuclear magnetic resonance, ultrasound detection, detection of a radiation image by means of a CCD sensor or a video camera, radiographic film scanning etc.
In still another technique a radiation image, for example an xray image of an object, is stored in a screen comprising a photostimulable phosphor such as one of the phosphors described in European patent publication 503 702 published on 16.09.92. The technique for reading out the stored radiation image consists of scanning the screen with stimulating radiation, such as laser light of the appropriate wavelength, detecting the light emitted upon stimulation and converting the emitted light into an electric representation for example by means of a photomultiplier and finally digitizing the signal.
One of the benefits of a digital radiographic system resides in the possibility of processing the digital image representation before display or hard copy recording. The term "processing" in this context means any kind of image-processing such as noise filtering, contrast enhancement, data compression etc.
The processing can be performed on-line or off-line, the present invention specifically relates to off-line processing on a graphical work station.
The procedure commonly followed on a workstation is as follows. The image signal acquired by an image acquisition device as described above is stored in memory and retrieved from that memory at the time of off-line processing, the actual processing is then performed and the processed image is applied to a monitor for display and evaluation. The processing takes into account processing parameters that are either associated to the image in the very beginning of the process, so for example in an image identification phase proceeding the read-out phase in case of a radiation image stored in a photostimulable phosphor screen. Alternatively processing parameters can be entered by the operator via the console of the work station or preset processing procedures can be applied. Processing on a work station is frequently performed interactively. Then the original image signal is processed during successive processing cycles with different parameter settings and is each time evaluated and reprocessed until the obtained result meets the objectives as to image quality or diagnostic requirement.
A digital radiographic image is commonly represented by about 10 MB digital data. The computation time required for processing such a amount of data may extend to orders of minutes per processing cycle.
In case of interactive processing, comprising multiple processing cycles, the display of successively processed images (with different processing settings) is each time interrupted by a relatively long wait cycle and the total processing procedure (depending on the number of interactive processing cycles) may be very long.
Objects of the Invention
It is an object of the present invention to provide a method of obtaining on a work station in a fast way a processed image with an image quality that is adequate for diagnostic evaluation.
It is a further object to provide such a method which permits application in an interactive system wherein radiographic image evaluation comprises several processing cycles with amended processing parameters.
It is still a further object to provide such a method in a system for reading radiographic image stored in a photostimulable phosphor screen.
Statement of the Invention
The objects of the present invention are achieved by a method of processing a digital signal representation of a radiographic image comprising the steps of:
1)-transforming said image into a decomposed image comprising a sequence of detail images at multiple resolution levels and a residual image,
2)-storing said detail images and said residual image,
3)-retrieving said decomposed image up to a predetermined resolution level from said memory,
4)-processing said retrieved decomposed image taking into account a set of processing parameters,
5)-reconstructing a processed image by applying the inverse of the decomposition transformation to the images processed in step 4 and the residual image,
6)-displaying said processed image and evaluating said processed image,
7)-in dependence on the result of said evaluation amending processing parameters and repeating method steps 3 to 6.
In the description hereinbelow interactions performed on an image or on a so-called detail image are to be interpreted as meaning interactions performed on the digital signal representation thereof.
Once the displayed image satisfies the operator, the above image processing method can be completed by the steps of
retrieving all detail images and a residual image from said memory and
performing processing of all retrieved detail images taking into account a set of parameters,
performing reconstruction of the processed image by applying the inverse of the decomposition transformation,
outputting the reconstructed image.
Evidently the set of parameters that is preferably taken into account in the above additional processing step of the entire image is the set that led to a satisfactory evaluation.
Preferably optimal parameters providing a processed image that satisfies the operator are stored in a database and are retrieved to be applied for reproduction of a processed image.
These additional steps provide that after evaluation of the reconstructed partially processed image (namely processed up to a predetermined resolution level) on the monitor of the work station, processing of the entire image incorporating every resolution level can be ordered. This final processing can eventually be performed remote for example on a dedicated fast-working processor.
The finally processed image can then be transferred to an output recorder for hard copy recording such as a laser printer or a thermal printer (for example a thermal sublimation printer).
Alternatively or additionally the processed image can be sent to a long term mass storage device such as an optical disc for archival purposes.
The predetermined resolution level can be set so that it matches with the resolution of the monitor screen or is smaller than said resolution. The set resolution level needs to render a processed image with a resolution that is adequate for preliminary evaluation on the monitor screen.
The method of the present invention is advantageous and meets the enumerated objectives by limiting the retrieval and processing to image components (detail images and residual image) up to a predetermined resolution level.
The present invention provides that the time consuming image decomposition operation is only performed once and that the result hereof can be retrieved at any time for any kind of processing.
In this way a high quality image with a resolution that matches that of the monitor screen is obtained with as less as possible of computational effort.
The evaluation of a processed image is performed on the basis of a partially modified and partially reconstructed image since only part of the components of the decomposition process are taken into account. This procedure enhances the speed of operation and still provides an adequate tool for evaluation of the image quality and the diagnostic requirements.
Still the modification and reconstruction of the entire image which, due to the large number of pixels involved, is computationally expensive can be postponed until a satisfactory processing result is obtained on the subset of detail images.
Several examples of a decomposition procedure of an original image signal into a sequence of detail images and a residual imaae as well as of the corresponding reconstruction process and of the processing performed on the detail images are described in our European application 91202079.9 filed on Jul. 30, 1992 and in U.S. Ser. No. 07/924,905. These examples are described below.
Basically the decomposition of the original image into detail images is performed so that a sequence of multiple detail images at successively lower resolution levels and a residual image at a still lower resolution level is obtained. The decomposition is such that each detail image represents an amount of variation of pixel values within said original image at the resolution level of the detail image and the residual image is an approximation of said original image with omission of all variations comprised in said detail images. In this context `resolution` refers to spatial extent of the variations of the pixel values.
In one embodiment the decomposition is performed so that each pixel value in said original image is equal to the sum of the corresponding pixel value of said residual image incremented by the corresponding pixel value of each of said detail images, said residual and detail images being brought into register with the original image by proper interpolation if their number of pixels is not equal to the number of pixels of the original image. The composition fulfills the following characteristics:
i) the mean of all pixel values in every detail image is zero;
ii) the spatial frequency of every detail image is limited to a specific frequency band, said frequency band being defined as the compact region in the spatial frequency domain which contains nearly all (say 90%) of the spectral energy of the basic frequency period of said discrete detail image, adjusted to the original spatial frequency scale if said detail image contains less pixels than said original image;
iii) every detail image corresponds to a different spatial frequency band, in such a way that the entire spatial frequency domain ranging from -pi to pi radians per pixel along both spatial frequency axes is covered by said spatial frequency bands associated with all said detail images considered within the decomposition;
iv) each spatial frequency band associated with one of said detail images may partially overlap the neighbouring bands without being fully included by a frequency band associated with another detail image;
v) the number of pixels within each detail image is at least the number of pixels required by the Nyquist sampling criterion, so as to avoid aliasing,
vi) at least two of said spatial frequency bands are considered in the course of said decomposition.
The reconstructed image is then computed as the pixelwise sum of all modified detail images incremented by the corresponding pixel value in the residual image, said residual and detail images being brought into register with the original image by proper interpolation if their number of pixels is not equal to the number of pixels of the original image.
In one embodiment of the signal processing method, the multiresolution representation obtained after decomposition has a pyramidal structure. The number of pixels in each detail image decreases at each coarser resolution.
Pyramidal image decomposition is preferred over alternative methods such as simple subsampling because the alternative methods induce frequency related patterns (line structures) referred to as "aliasing".
The detail images at successively coarser resolution levels are for example obtained as the result of each of K iterations of the following steps:
a) computing an approximation image at a next coarser level by applying a low pass filter to the approximation image corresponding to the current iteration, and subsampling the result in proportion to the reduction in spatial frequency bandwidth, using the original image as input to said low pass filter in the course of the first iteration;
b) computing a detail image as the pixelwise difference between the approximation image corresponding to the current iteration and the approximation image at a next coarser resolution level computed according the method sub (a), both images being brought into register by proper interpolation of the latter image;
and wherein the residual image is equal to the approximation image produced by the last iteration.
The reconstructed image is computed by iterating K times the following procedure starting from the coarsest detail image and the residual image:
computing the approximation image at the current resolution level by pixelwise adding the detail image at the same resolution level to the approximation image at the coarser resolution level corresponding to the previous iteration, both images being brought into register by proper interpolation of the latter image, using however the residual image instead of said coarser approximation image in the course of the first iteration.
The detail images are then processed with a set of processing parameters.
Processing methods are extensively described in the above-mentioned European patent application 91202079.9 and U.S. Ser. No. 07/924,905.
In one embodiment, this modification is performed to enhance the image contrast. At least one non-linear monotonically increasing odd mapping function with a slope that gradually decreases with increasing argument values is applied to the pixel values of the detail images.
Alternatively the modifying function has a slope that gradually decreases with increasing absolute argument values with the exception of the region of lowest absolute argument values where the slope is constant or increasing.
The value that delimits the range of abscissa values of the modifying function within which the slope is constant or increasing, may be set in proportion to the noise level of the original image.
The function may not be identically defined at each resolution level in said decomposition, such that the mappings applied to the finer resolution levels amplify image detail more than the mappings corresponding to the coarser resolution levels.
Alternative processing steps such as a noise suppression processing described in our copending European application number 92201802.3 filed Jun. 19, 1992, alternative contrast enhancement procedures. grey scale transforms, and other algorithms that optimize the diagnostic quality of an image, processing affecting the image orientation etc. may be performed.
An alternative decomposition and reconstruction method has also been described in the above-mentioned European patent application 91202079.9 and the corresponding U.S. application Ser. No. 07/924,905.
In this alternative embodiment the original image is decomposed into a weighted sum of predetermined basic detail images at multiple resolution levels and a residual basic image by applying a transform to said image, said transform yielding a set of detail coefficients each expressing the relative contribution to the original image of one of a set of basis functions representing said basic detail images and a residual coefficient representing the relative contribution to the original image of a basis function representing said basic residual image. In this embodiment the basis functions are continuous and non-periodic and have zero mean value except for the basis function that represents the basic residual image. and the transform is characterised in that there exists an inverse transform which returns the original image or a close approximation thereof when being applied to said transform coefficients.
After decomposition, the detail coefficients are modified for example by applying at least one non-linear monotonically increasing odd mapping having a slope that gradually decreases with increasing absolute argument values.
Then, a reconstructed image is computed by applying the inverse transform to the modified detail coefficients and the residual coefficient.
According to this embodiment, the decomposition is such
that the value of each pixel within said original image is equal to the sum of all corresponding pixel values in said basic detail images multiplied by the associated detail coefficient, said sum being further incremented by the corresponding pixel value of said basic residual image multiplied by the associated residual coefficient,
that, if the complete set of said predetermined basic detail images would be partitioned into subsets of basic detail images with identically sized spatial extent, said spatial extent being defined as the compact pixel domain which contains all the signal energy of said basic detail images, all pixels outside said compact domain having zero value, then said partitioned set of predetermined basic detail images would be such that:
i) the mean of all pixel values of every said basic detail image is zero;
ii) every said subset covers the entire domain of said original image, i.e. for every pixel within said original domain there is within every said subset at least one basic detail image the spatial extent of which overlaps with said pixel;
iii) all said basic detail images belonging to any particular subset are limited to the same spatial frequency band, said frequency band being defined as the compact region in spatial frequency domain which contains nearly all (say 90%) of the spectral energy of the basic frequency period of said basic detail image:
iv) every said subset corresponds to a different spatial frequency band, in such a way that the entire spatial frequency band ranging from -pi through pi radians/pixel along both spatial frequency axes is covered by said spatial frequency bands associated with all said subsets considered within the decomposition;
v) each spatial frequency band associated with one of said subsets may partially overlap the neighbouring bands, without being fully included by a frequency band associated with another said subset;
vi) at least two and preferably more said spatial frequency bands are considered in the course of said decomposition.
An example of a transform that fulfills the above enumerated characteristics is the pyramidal Gabor expansion.
The basis functions are preferably orthogonal. A well-suited example are wavelets.
The processing performed on the decomposed image comprises a modification of pixel values of the detail images in the same way as has been described higher with reference to the first embodiment of the decomposition process.
In one embodiment the digital image signal is obtained by reading a radiographic image that has been stored in a photostimulable phosphor screen by scanning said screen with stimulating radiation, detecting the light emitted upon stimulation and converting said light into a digital image signal.
In an alternative embodiment the digital signal is obtained by scanning a radiographic film with light and detecting the image-wise modulated reflected or transmitted light.
However, the invention is not limited to these acquisistion systems, alternatives may be envisioned.
Preferably the decomposition is performed in a processing section part of the read-out apparatus, the decomposed image is then transferred across a digital communication channel, such as a LAN (local area network) to a workstation where it is stored in a storage device for future processing.
This is advantageous since the decomposition is already required if online processing is performed on a decomposed image.
Processing parameters or an identifier of a set of stored processing parameters or processing procedure can be associated with the image prior to read out of the screen or can be fed to the workstation or amended via the console hereof.
The invention further provides an apparatus for carrying out the method of the present invention.
The apparatus generally comprises
an image acquisition section rendering a digital signal representation of a radiographic image,
means for decomposing said digital signal representation into detail images at multiple resolution levels and a residual image,
means for interfacing said acquisition section with said workstation,
a workstation comprising
means for storing said detail images and said residual image,
a graphical user interface for selecting different processing modes,
means for controlling retrieval of detail images from said storage means up to a preset resolution level,
means for modifying said retrieved detail images according to said selected mode,
means for computing a reconstructed processed image by applying a reconstruction algorithm to the retrieved residual image and the retrieved and modified detail images, the reconstruction algorithm being such that if it were applied to the residual image and all detail images without modification, then said original image or a close approximation thereof would be obtained,
means for displaying a reconstructed image.
The processing modes are in a preferred embodiment pre-programmed processing algorithms with different sets of processing parameters that are stored in advance in a processing means and that can be retrieved by selection via the graphic user interface. The processing parameters can for example be linked to a specific radiologic examination type.
The apparatus may be equipped with a database for storing an optimal processing mode so that the processing may be repeated using the stored processing conditions.
The apparatus may additionally comprise means for controlling retrieval of all detail images and a residual image and means for controlling said processing and reconstruction on all retrieved detail images and the residual image.
In a preferred embodiment the acquisition section generally comprises means for scanning a photostimulable phosphor screen with stimulating irradiation, means for detecting the light emitted upon stimulation and means for converting the detected light into a signal representation.
Particular aspects of the present invention as well as preferred embodiments thereof will be illustrated by means of the following drawings .
Brief Description of the Drawings
FIG. 1 is a general view of a system in which the method of the present invention can be applied,
FIG. 2 is a detailed view of a system for reading an image stored in a photostimulable phosphor screen,
FIG. 3 illustrates a specific decomposition method,
FIG. 4 is an example of a filter used in the decomposition procedure,
FIG. 5 illustrates a specific reconstruction process,
Preferred Embodiments
A simplified block diagram of a system in which the method of the invention can be implemented is shown in FIG. 1.
A radiation image of an object was recorded on a photostimulable phosphor screen (3) by exposing (2) said screen to x-rays transmitted through the object (not shown). The stimulable phosphor screen was conveyed in a cassette (4) provided with an electrically erasable programmable read only memory (EEPROM) (5). In an identification station (6) various kinds of data, for example patient identification data (name, date of birth) and data relating to the exposure and/or to the signal processing such as processing parameters were written into the EEPROM (5).
In a radiation image read-out apparatus (1) the information stored in the EEPROM and the image stored in the photostimulable phosphor screen were read-out. The read-out method is illustrated in FIG. 2. The stored image was read-out by scanning the phosphor screen with stimulating rays emitted by a laser 16. The stimulating rays were deflected into the main scanning direction by means of galvanometric deflection 17. The subscanning was performed by transporting the phosphor screen in the subscanning direction 18. The stimulated emission was directed by means of a light collector 19 onto a photomultiplier 20 for conversion into an electrical image representation. Next, the signal was sampled by a sample and hold circuit 21, and converted into a 12 bit signal by means of an analog to digital convertor 22. The digital image signal 23 was sent to the image processing module of the read-out apparatus (FIG. 1, numeral 7) where it was stored in an internal buffer.
The read-out signal was also applied to a preview monitor 8 for display immediately after read-out providing an operator with an early feed back on the performed exposure.
The read-out apparatus 1 and processing module 7 were further connected to a workstation 11 and associated review console 12 where off-line processing according to the present invention is performed.
The read-out apparatus and associated processor as well as the workstation and associated review console were connected via a buffer 9 to an output recorder 10.
In processing unit 7 the digital image signal was subjected to a decomposition into detail images at multiple resolution levels and a residual image. These detail images and residual image were then transmitted from the image processor to the image workstation 11, 12 via a digital communication channel where they were stored on hard disc.
Alternatively archival on optical disc could be provided (not shown).
On-line processing generally comprises a modification of the detail images which may serve various purposes followed by a reconstruction of a processed image by applying an inverse transform to the modified detail images and the residual image, the reconstruction process being such that when it would have been applied to the unmodified detail images and the residual image this would have resulted in the original unprocessed image or a close approximation thereof.
The on-line processing was controlled with the aid of data indicative of specific processing procedures that were written into the EEPROM provided on the screen conveying cassette (cfr. numerals 4 and 5 in FIG. 1) in the identification station (numeral 6 in FIG. 1) in the form of a processing-identifier.
In the read-out apparatus 1 the information stored in the EEPROM was read-out and transmitted to the image processor 7 where the processing parameters corresponding with the read-out processing identifier were retrieved from a stored parameter table and applied when performing the effective processing.
Orie embodiment of a decomposition process is illustrated in FIG. 3. The original image signal 23 was filtered by means of a low pass filter 26, and subsampled by a factor of two, which is implemented by computing the resulting low pass image g.sub.1 only at every other pixel position of every alternate row.
A detail image b.sub.0 at the finest level is obtained by interpolating the low pass image g.sub.1 while at the same time inserting an extra column and row every other column and row respectively, and pixelwise subtracting the interpolated image from the original image 23. The interpolation was effectuated by the interpolator 27, which inserts a column of zero values every other column, and a row of zero values every other row respectively, and next convolves the extended image with a low pass filter. The subtraction is done by the adder 28.
The same process is repeated on the low pass image g.sub.1 instead of the original image 23, yielding a low pass image g.sub.1 and a detail image b.sub.1. A sequence of detail images b.sub.i, i=0 . . . L-1 and a residual low pass image g.L is obtained by iterating the above process L times.
The finest detail image b.sub.0 has the same size as the original image. The next coarser detail image b.sub.1 has only half as many rows and columns as the first detail image b.sub.0. At each step of the iteration the characteristic spatial frequency of the resulting detail image is only half of that of the previous finer detail image, and also the number of columns and rows is halved, in accordance with the Nyquist criterion. After the last iteration a residual image g.sub.L is left which can be considered to be a very low resolution approximation of the original image. In the extreme case it consists of only 1 pixel which represents the average value of the original image 23.
The filter coefficients of the low pass filter 26 of the preferred embodiment are presented in FIG. 4. They correspond approximately to the samples of a two dimensional gaussian distribution on a 5.times.5 grid. The same filter coefficients are used for the low pass filters 26, 26', . . . 26'" at all scales. The same filter kernel with all coefficients multiplied by 4 is also used within the interpolators 27, 27', . . . 27'". The factor of 4 compensates for the insertion of zero pixel columns and rows.
On-line processing further comprises the step of modifying for each image pixel values of said retrieved images to yield pixel values of a set of modified detail images. The modification depends on the specific objective envisioned by the processing, for example contrast enhancement, noise reduction etc.
In this particular embodiment contrast enhancing processing as well as noise suppression processing were performed.
These processing methods are described extensively in our copending European applications 91202079.9 filed 91.08.14 and U.S. Ser. No. 07/924,905 and in copending European application 92201802.3 filed Jun. 19, 1992.
After processing a processed image was reconstructed from the modified detail images and the residual image by applying a reconstruction algorithm.
FIG. 5 is a scheme illustrating such a reconstruction algorithm.
The residual image g.sub.L is first interpolated by interpolator 31 to twice its original size and the interpolated image is next pixelwise added to the detail image of the coarsest level b'.sub.L-1' using adder 32.
The resulting image is interpolated and added to the next finer detail image. When this process is iterated L times using the unmodified detail images b.sub.L-1 . . . b.sub.0 then the original image 23 will result. When at the other hand the detail images are modified before reconstruction according to the findings of the present invention, then a contrast enhanced image 23' will result. The interpolators 31, 31', 31" are identical to those used in the decomposition section.
The unmodified detail images and the residual image were also transmitted to the workstation (11, 12) where they were stored and kept available for off-line processing.
The off-line processing performed at the workstation was performed as described hereinafter.
First an image directory of a number of read out and stored images is displayed on the monitor screen. Composition of such an image directory is described extensively in our copending European application entitled "Method of displaying (a) radiographic image(s)" and filed on the even day.
Next one of the displayed images was selected for further interactive processing.
Upon command, detail images pertaining to said selected image were retrieved from the disc of the workstation, however, only images up to a predetermined resolution level were retrieved.
The predetermined resolution level-was such that, when the retrieved detail images are modified and together with the residual image subjected to a reconstruction procedure, a reconstructed image results that has a resolution that is below the resolution of the display screen of the workstation.
The retrieved detail images were then subjected to an image processing algorithm wherein pixel values of the detail images were modified.
Then a reconstruction process were depicted in FIG. 5 was applied.
The resulting image after reconstruction was displayed on the monitor screen and was evaluated by a radiologist or an operator.
If the displayed image matched a standard set by this radiologist or operator the procedure was finished at this point. However, in case the displayed image did not match or when the operator would be interested in the result of an alternative processing, processing parameters were amended and the processing procedure was repeated taking into account the amended parameters on the original detail images that are for this purpose once again retrieved from the workstation disc or the detail images stored previously in working memory were used. However, the time-consuming decomposition procedure as described with reference to FIG. 3 needed not be repeated and processing and reconstruction could be performed on a subset of detail images and the residual image.
Selection of the different parameter settings for processing was performed with the aid of a graphic user interface provided on the workstation. This graphic interface provides via icons, menu's and tables selection of different pre-programmed sets of processing parameters dedicated to specific examination types or specific processing types.
At the point where a satisfactory processed image was obtained, the image processing was performed with the actual processing parameters not on a subset of the detail images but on the entire number of detail images and the reconstruction was performed with the residual image and all modified detail images.
The finally processed image was then sent to an output laser recorder for reproduction on film.
Claims
We claim:
1. A method of processing a digital signal representation of an original image comprising the steps of: 1)--applying a decomposition transformation to said image to transform it into a decomposed image comprising a sequence of detail images at multiple successively lower spatial resolution levels and a residual image at a still lower resolution level, wherein each detail image represents the amount of local variation of pixel values within said original image at the resolution level of the detail image and wherein a residual image is an approximation of said original image with omission of all variations comprised in said detail images, 2)--storing said detail images and said residual image into a memory, 3)--retrieving from said memory detail images up to a predetermined resolution level among said multiple resolution levels, and said residual image, 4)--processing retrieved detail images in accordance with a set of processing parameters, 5)--generating a reconstructed image by applying the inverse of the decomposition transformation to the images processed in step 4 and to the residual image, 6)--displaying said reconstructed image and evaluating it, 7)--amending the numerical values of said processing parameters based on the result of said evaluation and repeating method steps 3 to 6 until the result of said evaluation satisfies an operator.
2. A method according to claim 1 wherein (1) said original image is transformed so that each of its pixel values is equal to the sum of the corresponding pixel value of said residual image and the corresponding pixel values of each of said detail images, said residual and detail images being brought into register with the original image by interpolation if their number of pixels is not equal to the number of pixels of the original image, and so that i) the mean of all pixel values in every detail image is zero: ii) the spatial frequency of every detail image is limited to a specific frequency band; iii) every detail image corresponds to a different spatial frequency band, in such a way that the entire spatial frequency domain is covered by the spatial frequency bands associated with all said detail images considered with the decomposition; iv) each spatial frequency band associated with one of said detail images may partially overlap the neighbouring bands without being fully included; v) the number of pixels within detail image is at least the number of pixels required by the Nyquist sampling criterion; vi) at least two of said spatial frequency bands are considered in the course of said decomposition; and (2) wherein said reconstructed image is generated by applying a reconstruction algorithm to the residual image and to the set modified detail images, the reconstruction algorithm being such that if it were applied to the residual image and the detail images without modification, then said original image would be obtained; and each pixel value of said processed image representation is computed as the sum of the corresponding pixel values in each of the modified detail images incremented by the corresponding pixel value in the residual image, said residual and detail images being brought into register with the original image by the interpolation if the number of pixels is not identical.
3. A method according to claim 1 wherein the numerical values of processing parameters leading to a positive evaluation of a reconstructed image are stored in a database.
4. A method according to claim 1 wherein the number of pixels in each detail image decreases at each coarser resolution level.
5. A method of processing a digital signal representation of an original image comprising the steps of 1) decomposing the original image into a weighted sum of predetermined basic detail images at multiple resolution levels and a residual basic image by applying a transform to said original image, said transform yielding a set of detail coefficients each expressing the relative contribution to the original image of one of a set of basis functions representing said basic detail images and a residual coefficient representing the relative contribution to the image of a basis function representing said basic residual image, whereby said basis functions are continuous and non-periodic and have zero mean value except for the basis function that represents the basic residual image, and wherein for said transform an inverse transform exists which returns the original image or a close approximation thereof when being applied to said transform coefficients, 2) storing said detail coefficients and said residual coefficient in a memory, 3) retrieving from said memory detail coefficients up to a predetermined resolution level among said multiple resolution levels, and said residual coefficient; 4) processing retrieved detail coefficients in accordance with a set of processing parameters, 5) generating a reconstructed image by applying said inverse transform to the detail coefficients processed in step (4) and the residual coefficient, 6) displaying said reconstructed image and evaluating it, 7) amending the numerical values of said processing parameters based on the result of said evaluation and repeating method steps 3 to 6 until the result of the evaluation satisfies an operator.
6. A method according to claim 5 wherein said decomposition is such that the value of each pixel within said original image is equal to the sum of all corresponding pixel values in said basic detail images multiplied by the associated detail coefficient, said sum further incremented by the corresponding pixel value of said basic residual image multiplied by the associated residual coefficient, and wherein the decomposition is such that if the complete set of said predetermined basic detail images would be partitioned into subsets of basic detail images with identically sized spatial extent, then the partitioned set of predetermined basic detail images would be such that: i) the mean of all pixel values of every said basic detail image is zero; ii) every said subset covers the entire domain of said original image; iii) all said basic detail images belonging to any particular subset are limited to the same spatial frequency band; iv) every said subset corresponds to a different spatial frequency band, in such a way that the entire spatial frequency band is covered by said spatial frequency bands associated with all said subsets considered within the decomposition; v) each spatial frequency band associated with one of said subsets may partially overlap the neighbouring bands, without being fully included by a frequency band associated with another said subset; vi) at least two and preferably more said spatial frequency bands are considered in the course of said decomposition; and wherein said processed image representation is reconstructed as the sum of all corresponding pixel values in said basic detail images multiplied by said modified associated detail coefficients, said sum being further incremented by the corresponding pixel value of said basic residual image multiplied by the associated residual coefficient.
7. A method according to claim 5 wherein said transform is the pyramidal Gabor expansion.
8. A method according to claim 5 wherein said basis functions are orthogonal.
9. A method according to claim 5 wherein said basis functions are wavelets.
10. A method according to claim 1 wherein said original image is stored in a photostimulable phosphor screen and wherein said digital image representation is obtained by scanning said screen with stimulating irradiation, detecting light emitted upon stimulation and converting said detected light into a digital signal representation.
11. A method according to claim 5 wherein said original image is stored in a photostimulable phosphor screen and wherein said digital image representation is obtained by scanning said screen with stimulating irradiation, detecting light emitted upon stimulation and converting said detected light into a digital signal representation.
12. An apparatus comprising: an image acquisition section rendering a digital signal representation of a radiographic image, means for decomposing said digital signal representation into detail images at multiple successively lower resolution levels and a residual image at a still lower resolution level, wherein each detail image represents the amount of variation of pixel values within said original image at the resolution level of the detail image and wherein a residual image is an approximation of said original image with omission of all variations comprised in said detail images, means for interfacing said acquisition section with a workstation comprising means for storing said detail images and said residual image, a graphical user interface for selecting different processing modes, means for controlling retrieval of detail images from said storage means up to a preset resolution level among said multiple resolution levels, means for modifying retrieved detail images according to a selected mode, means for computing a reconstructed image by applying a reconstruction algorithm to the retrieved residual image and the retrieved and modified detail images. the reconstruction algorithm being such that if it were applied to the residual image and all detail images without modification, then said original image or a close approximation thereof would be obtained, means for displaying a reconstructed image.
13. An apparatus according to claim 12 provided with a database for storing said selected processing mode.
14. An apparatus according to claim 12 wherein said acquisition section comprises means for scanning a photostimulable phosphor screen that has been exposed to an X-ray image with stimulating irradiation, means for detecting the light emitted upon stimulation and means for converting the detected light into a signal representation.