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1. (WO2019048354) SPECTRAL (MULTI-ENERGY) IMAGING VISUALIZATION
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CLAIMS:

1. A computing system (126), comprising:

a memory device (130) configured to store image visualization application software, spectral imaging data, and spectral image reconstruction algorithms,

wherein the image visualization application software is configured to read electronic files containing images and formatted in a first format, the spectral imaging data is formatted in a second different format, which the image visualization application software cannot read and/or interpret, and the spectral image reconstruction algorithms are configured to read electronic files formatted in the second different format;

a processor (128) configured to access at least one of the spectral image reconstruction algorithms through a proprietary software interface and process the spectral imaging data with the at least one of the spectral image reconstruction algorithms to produce a spectral image, and configured to execute the image visualization application software to construct a graphical user interface with an image viewport displaying the spectral image; and

a display (132) configured to display the graphical user interface with the spectral image displayed in the viewport.

2. The system of claim 1, wherein the spectral imaging data is formatted in a proprietary Digital Imaging and Communications in Medicine format.

3. The system of claim 1, wherein the memory device is further configured to store non-spectral imaging data formatted in the first format.

4. The system of any of claims 1 to 3, wherein the spectral image reconstruction algorithms include algorithms from a group of algorithms consisting of: a mono-energetic algorithm; a calcium suppression algorithm; an effective Z algorithm; an electron density algorithm; an iodine density algorithm; an iodine suppressed algorithm; a contrast-enhanced algorithm; a virtual non-contrast algorithm; a uric acid algorithm; a uric acid suppression algorithm; a basis pair algorithm, and a K-edge algorithm.

5. The system of any of claims 1 to 4, wherein the displayed graphical user interface includes a menu with a plurality of individual selectable graphical control elements, each labeled with a different type of spectral processing, and each configured to call a spectral image reconstruction algorithm of the spectral image reconstruction algorithms corresponding to the label.

6. The system of claim 5, wherein at least one of the plurality of individual selectable graphical control elements is configured to activate a dialog box in response to being selected.

7. The system of claim 6, wherein the dialog box includes a character input field configured to receive a parameter employed by the spectral image reconstruction algorithm.

8. The system of claim 7 wherein the dialog box further includes a second character input field configured to receive a second parameter, and the combination of the first and second parameters are employed by the spectral image reconstruction algorithm.

9. The system of claim 6, wherein the dialog box includes a list of selectable parameters, where a selected one of the parameters from the list is employed by the spectral image reconstruction algorithm.

10. The system of any of claims 7 to 9, wherein the displayed graphical user interface includes a widget configured to set a new value of the parameter after the spectral image is displayed in the viewport, and the processor is configured to process the spectral imaging data with the least one of the spectral image reconstruction algorithms and the new value to produce a new spectral image, which is displayed in the image viewport.

11. The system of any of claims 1 to 9, wherein the graphical user interface includes a plurality of viewports, each configured to display a different spectral image.

12. The system of any of claims 1 to 10, wherein the viewport is configured to display at least one other spectral image in a split screen format.

13. The system of any of claims 1 to 10, wherein the viewport is configured to display at least a sub-portion of one spectral image superimposed over another spectral image.

14. A computer readable medium encoded with computer executable instructions, where the computer executable instructions, when executed by a processor, causes the processor to:

receive spectral image reconstruction algorithms and spectral imaging data; access at least one of the spectral image reconstruction algorithms through a proprietary software interface;

process the spectral imaging data with the at least one of the spectral image reconstruction algorithms to produce a spectral image;

execute image visualization application software to construct a graphical user interface with an image viewport displaying the spectral image, wherein the image visualization application software cannot read and/or interpret the spectral imaging data; and display the graphical user interface with the spectral image displayed in the viewport.

15. The computer readable medium of claim 14, wherein the spectral imaging data is formatted in a proprietary Digital Imaging and Communications in Medicine format.

16. The computer readable medium of any of claims 14 to 15, wherein the spectral image reconstruction algorithms include algorithms from a group of algorithms consisting of: a mono-energetic algorithm; a calcium suppression algorithm; an effective Z algorithm; an electron density algorithm; an iodine density algorithm; an iodine suppressed algorithm; a contrast-enhanced algorithm; a virtual non-contrast algorithm; a uric acid algorithm; a uric acid suppression algorithm; a basis pair algorithm, and a K-edge algorithm.

17. The computer readable medium of any of claims 14 to 16, wherein the computer readable medium is part of a hardware memory device of a visualization computing system or an image analyzing/processing computing system.

18. A method, comprising:

receiving proprietary spectral image reconstruction algorithms and proprietary spectral imaging data at a picture archive and communication system;

accessing, with the picture archive and communication system, at least one of the proprietary spectral image reconstruction algorithms only through a proprietary software interface;

processing, with the picture archive and communication system, the proprietary spectral imaging data with the at least one of the proprietary spectral image reconstruction algorithms to produce a spectral image;

executing, with the picture archive and communication system, image visualization application software of the picture archive and communication system to construct a graphical user interface with an image viewport displaying the spectral image, wherein the image visualization application software cannot read and/or interpret a format of the proprietary spectral imaging data; and

displaying the graphical user interface with the spectral image displayed in the viewport.

19. The method of claim 18, wherein the spectral imaging data is formatted in a proprietary Digital Imaging and Communications in Medicine format.

20. The method of claim 19, wherein the spectral image reconstruction algorithms include algorithms from a group of algorithms consisting of: a mono-energetic algorithm; a calcium suppression algorithm; an effective Z algorithm; an electron density algorithm; an iodine density algorithm; an iodine suppressed algorithm; a contrast-enhanced algorithm; a virtual non-contrast algorithm; a uric acid algorithm; a uric acid suppression algorithm; a basis pair algorithm, and a K-edge algorithm.