초록

A method of automatically identifying a region of differing intensity in a functional image is described.

대표청구항 ▼

What is claimed is: 1. A method, comprising: receiving a functional image including a first region of a pathological anatomy comprising first pixels and a second region of the pathological anatomy comprising second pixels, each of the first and second pixels having a corresponding intensity data va

What is claimed is: 1. A method, comprising: receiving a functional image including a first region of a pathological anatomy comprising first pixels and a second region of the pathological anatomy comprising second pixels, each of the first and second pixels having a corresponding intensity data value; automatically distinguishing between the first region and the second region based on a difference between the intensity data values of the first and second pixels; and applying radiation dose constraints to at least one of the first and second regions based on the corresponding intensity data values. 2. The method of claim 1, wherein the intensity data values of the first pixels are greater than the intensity data values of the second pixels and wherein automatically distinguishing comprises determining that more of the first pixels have intensity data values being greater than intensity data values of the second pixels. 3. The method of claim 2, further comprises associating a higher cell distribution within the pathological anatomy with the first region and a lower cell distribution with the second region. 4. The method of claim 1, wherein the difference between the intensity values is with respect to a threshold intensity value. 5. The method of claim 4 wherein automatically distinguishing comprises: comparing the intensity data values of the first pixels against the threshold intensity value; and determining that the intensity data values of the first pixels are greater than the threshold intensity value. 6. The method of claim 5, wherein automatically distinguishing comprises: comparing the intensity data values of the second pixels against the threshold intensity value; and determining that the intensity data values of the second pixels are less than the threshold intensity value. 7. The method of claim 1, further comprising: generating a first contour corresponding to the first region using the intensity data values of the first pixels; and generating a second contour corresponding to the second region using the intensity data values of the second pixels. 8. The method of claim 7, wherein applying radiation dose constraints further comprises: applying a first radiation dose constraint for the first contour; and applying a second radiation dose constraint for the second contour. 9. The method of claim 1, wherein automatically distinguishing is performed without visual inspection of the functional image by a person. 10. The method of claim 1, wherein the function image is a positron emission tomography (PET) image. 11. The method of claim 1, further comprising: receiving an anatomical image; identifying the pathological anatomy in the anatomical image; and correlating the functional image with the anatomical image. 12. The method of claim 11, wherein the anatomical image is a CT image. 13. The method of claim 11, wherein correlating comprises overlaying the functional image with the anatomical image. 14. The method of claim 11, wherein correlating comprises acquiring the functional image in a same space as the anatomical image. 15. The method of claim 1, further comprising acquiring the functional image. 16. A method, comprising: acquiring a CT image of a pathological anatomy; identifying the pathological anatomy in the CT image; acquiring a PET image including a first region of the pathological anatomy comprising first pixels and a second region of the pathological anatomy comprising second pixels, each of the first and second pixels having a corresponding intensity data value; automatically distinguishing between the first region and the second region based on a difference between the intensity data values of the first and second pixels; generating a first contour corresponding to the first region using the intensity data values of the first pixels; and generating a second contour corresponding to the second region using the intensity data values of the second pixels. 17. The method of claim 16, further comprising correlating the functional image with the anatomical image. 18. The method of claim 16, further comprising: applying a first radiation dose constraint for use within the first contour; and applying a second radiation dose constraint for use within the second contour. 19. The method of claim 18, wherein the first region corresponds to a higher cell density with respect to the second region and the second region corresponds to a lower cell density with respect to the first region. 20. A computer readable medium having instructions thereon, which when executed by a processing device, cause the processing device to perform the following comprising: receiving a functional image including a first region of a pathological anatomy comprising first pixels and a second region of the pathological anatomy comprising second pixels, each of the first and second pixels having a corresponding intensity data value; automatically distinguishing between the first region and the second region based on a difference between the intensity data values of the first and second pixels; and applying radiation dose constraints to at least one of the first and second regions based on the corresponding intensity data values. 21. The computer readable medium of claim 20, wherein the intensity data values of the first pixels are greater than the intensity data values of the second pixels and wherein automatically distinguishing comprises determining that more of the first pixels have intensity data values being greater than intensity data values of the second pixels. 22. The computer readable medium of claim 21, wherein automatically distinguishing comprises: comparing the intensity data values of the first pixels against a threshold value; and determining that the intensity data values of the first pixels are greater than the threshold value. 23. The computer readable medium of claim 22, wherein automatically distinguishing comprises: comparing the intensity data values of the second pixels against the threshold value; and determining that the intensity data values of the second pixels are less than the threshold value. 24. The computer readable medium of claim 21, further comprises associating a higher cell distribution within the pathological anatomy with the first region and a lower cell distribution with the second region. 25. The computer readable medium of claim 20, wherein the difference between the intensity values is with respect to a threshold intensity value. 26. The computer readable medium of claim 20, wherein automatically distinguishing further comprises: ranking the first pixels and the second pixels from a lowest intensity data value to a highest intensity data value; assigning a threshold intensity value that is between the lowest intensity value and the highest intensity value; and flagging a pixel as part of a high intensity area if greater than the threshold intensity value. 27. An apparatus, comprising: a memory to store a plurality of functional images including a first region of a pathological anatomy comprising first pixels and a second region of the pathological anatomy comprising second pixels, each of the first and second pixels having a corresponding intensity data value; and a processing device coupled to the memory receive the plurality of functional images, the processing device to automatically distinguish between the first region and the second region based on a difference between the intensity data values of the first and second pixels, the processing device further configured to apply radiation dose constraints to at least one of the first and second regions based on the corresponding intensity data values. 28. The apparatus of claim 27, further comprising an imager coupled to the memory, the imager to generate the plurality of functional images. 29. The apparatus of claim 27, wherein the intensity data values of the first pixels are greater than the intensity data values of the second pixels and wherein automatically distinguishing comprises determining that more of the first pixels have intensity data values being greater than intensity data values of the second pixels. 30. The apparatus of claim 27, wherein the difference between the intensity values is with respect to a threshold intensity value. 31. The apparatus of claim 30, wherein the processing device is configured to compare the intensity data values of the first pixels against the threshold intensity value and determine if the intensity data values of the first pixels are greater than the threshold intensity value. 32. The apparatus of claim 31, wherein the processing device is configured to compare the intensity data values of the second pixels against the threshold intensity value and determine if the intensity data values of the second pixels are less than the threshold intensity value.