Method for Subjecting PET Image to Motion Compensation and Attenuation Correction by Using Small Number of Low-Radiation-Dose CT Images
US-2015221104-A1 · Aug 6, 2015 · US
US10853940B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10853940-B2 |
| Application number | US-201815971694-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 4, 2018 |
| Priority date | Jan 25, 2016 |
| Publication date | Dec 1, 2020 |
| Grant date | Dec 1, 2020 |
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A method and apparatus for manipulation of a respiratory model via adjustment of parameters associated with model images is described. A subset of the images that are used with the model that is associated with the position and motion of a targeted region of the patient to receive radiation treatment may be identified. The subset of images may be sorted. A graphical user interface (GUI) that identifies two or more of the images of the sorted subset may be provided. A selection associated with one of the images of the sorted subset may be received by the GUI. Furthermore, a new model to identify the targeted region based on the selection that is associated with one of the two or more images may be generated.
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What is claimed is: 1. A method comprising: receiving imaging data comprising a plurality of images associated with a patient; identifying a subset of the plurality of images that are used with a previously generated model associated with a position and motion of a targeted region of the patient to receive radiation treatment; sorting the subset of the plurality of images; providing, by a processing device, a graphical user interface (GUI) that identifies two or more images of the sorted subset of the plurality of images; receiving, by the GUI, a selection associated with one of the two or more images of the sorted subset of the plurality images; generating, by the processing device, a new model to be associated with the position and motion of the targeted region based on the selection that is associated with one of the two or more images, wherein the new model is a relationship between a series of internal features and external marker positions; and delivering radiation to the targeted region based on the new model. 2. The method of claim 1 , wherein the one of the two or more images of the sorted subset of the plurality images is at an intermediate position in the respiratory order. 3. The method of claim 1 , wherein the sorting of the subset of the plurality of images is based on a respiratory order associated with the patient, and wherein the selection associated with one of the two or more images corresponds to a removal of the one image from being used with the model that is associated with the position and motion of the targeted region, and wherein the new model that is generated is not based on the removed one image. 4. The method of claim 1 , wherein the selection associated with one of the two or more images corresponds to a changing of a correlation output parameter threshold of a target tracking process associated with the model, the method further comprising: in response to the changing of the correlation output parameter threshold, determining, for each of the images of the sorted subset of the plurality of images, whether the corresponding image is associated with a respective correlation parameter result that satisfies the changed correlation output parameter threshold. 5. The method of claim 1 , further comprising: providing, via the GUI, each image of a second subset of the plurality of images from the imaging data that are not used with the model that is associated with the position and motion of the targeted region, wherein the GUI further provides an option to include, for each image of the second subset, the corresponding image in the subset that is used with the model. 6. The method of claim 1 , wherein each of the images are x-ray images, the method further comprising: in response to a selection on the GUI corresponding to one of the x-ray images of the sorted subset of the plurality of images, providing a display of the x-ray image with a superimposed visual indicator that is associated with the model. 7. The method of claim 6 , wherein the visual indicator represents the targeted region that is tracked. 8. A system comprising: a memory to store an image history comprising a plurality of images associated with a patient; and a processing device operatively coupled with the memory to: receive imaging data comprising a plurality of images associated with a patient; identify a subset of the plurality of images that are used with a previously generated model associated with a position and motion of a targeted region of the patient to receive radiation treatment; sort the subset of the plurality of images; provide a graphical user interface (GUI) that identifies two or more images of the sorted subset of the plurality of images; receive, by the GUI, a selection associated with one of the two or more images of the sorted subset of the plurality images; generate a new model to be associated with the position and motion of the targeted region based on the selection that is associated with one of the two or more images, wherein the new model is a relationship between a series of internal features and external marker positions; and deliver radiation to the targeted region based on the new model. 9. The system of claim 8 , wherein the one of the two or more images of the sorted subset of the plurality images is at an intermediate position in the respiratory order. 10. The system of claim 8 , wherein the sorting of the subset of the plurality of images is based on a respiratory order associated with the patient, and wherein the selection associated with one of the two or more images corresponds to a removal of the one image from being used with the model that is associated with the position and motion of the targeted region, and wherein the new model that is generated is not based on the removed one image. 11. The system of claim 8 , wherein the selection associated with one of the two or more images corresponds to a changing of a correlation parameter threshold of a target tracking process associated with the model, the processing device is further to: in response to the changing of the correlation parameter threshold, determine, for each of the images of the sorted subset of the plurality of images, whether the corresponding image is associated with a respective correlation parameter result that satisfies the changed correlation parameter threshold. 12. The system of claim 8 , wherein each of the images are x-ray images, the processing device is further to: in response to a selection on the GUI corresponding to one of the x-ray images of the sorted subset of the plurality of images, provide a display of the x-ray image with a superimposed visual indicator that is associated with the model. 13. The system of claim 12 , wherein the visual indicator represents the targeted region that is tracked. 14. The system of claim 8 , wherein the processing device is further to: provide, via the GUI, each image of a second subset of the plurality of images from imaging data that are not used with the model that is associated with the position and motion of the targeted region, wherein the GUI further provides an option to include, for each image of the second subset, the corresponding image in the subset that is used with the model. 15. A non-transitory computer readable medium comprising instructions that, when executed by a processing device, cause the processing device to: receive imaging data comprising a plurality of images associated with a patient; identify a subset of the plurality of images that are used with a previously generated model associated with a position and motion of a targeted region of the patient to receive radiation treatment; sort the subset of the plurality of images; provide, by a processing device, a graphical user interface (GUI) that identifies two or more images of the sorted subset of the plurality of images; receive, by the GUI, a selection associated with one of the two or more images of the sorted subset of the plurality images; generate, by the processing device, a new model to be associated with the position and motion of the targeted region based on the selection that is associated with one of the two or more images, wherein the new model is a relationship between a series of internal features and external marker positions; and deliver radiation to the targeted region based on the new model. 16. The non-transitory computer readable medium of claim 15 , wherein the one of the two or more images of the sorted subset of the plurality images is at an intermediate position in the respiratory order. 17. The n
Transmission computed tomography [CT] · CPC title
Trajectory · CPC title
using feature-based methods, e.g. the tracking of corners or segments · CPC title
involving all processing steps from image acquisition to 3D model generation · CPC title
using an x-ray imaging system having a separate imaging source · CPC title
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