초록 ▼

A method for correcting emission data from Positron Emission Tomography (PET) or SPECT includes generating a plurality of computed tomography (CT) image data, selecting a portion of the CT image data, processing the selected CT data to generate a plurality of attenuation correction (CTAC) factors at

A method for correcting emission data from Positron Emission Tomography (PET) or SPECT includes generating a plurality of computed tomography (CT) image data, selecting a portion of the CT image data, processing the selected CT data to generate a plurality of attenuation correction (CTAC) factors at the appropriate energy of the emission data, weighting the CTAC factors to generate an emission attenuation correction map wherein the weights are determined based on the axial location and the slice thickness of the CT data and the axial location and the slice thickness of the PET or SPECT data, and utilizing the generated attenuation correction map to generate an attenuation corrected PET image.

대표청구항 ▼

The invention claimed is: 1. A method for correcting Positron Emission Tomography (PET) data comprising: generating a plurality of computed tomography (CT) image data; selecting a portion of the CT image data; processing the selected CT data to generate a plurality of computed tomography attenuatio

The invention claimed is: 1. A method for correcting Positron Emission Tomography (PET) data comprising: generating a plurality of computed tomography (CT) image data; selecting a portion of the CT image data; processing the selected CT data to generate a plurality of computed tomography attenuation correction (CTAC) factors; weighting the CTAC factors to generate a PET attenuation correction map wherein the weights are determined based on an axial location and a slice thickness of the CT data and an axial location and a slice thickness of the PET data; and utilizing the generated attenuation correction map to generate an attenuation corrected PET image. 2. The method in accordance with claim 1 wherein selecting a portion of the CT data further comprises: determining slice locations of the CT data; analyzing the determined slices to determine if any of the CT slice data are within the axial location of the PET scan region; and selecting at least two CT slices that are positioned within the axial location of the PET scan region. 3. The method in accordance with claim 1 wherein selecting a portion of the CT data comprises: identifying slice locations of the CT data within axial locations of the PET data; and determining the start and end of each selected CT slice within the PET scan region. 4. The method in accordance with claim 1 wherein selecting a portion of the CT data comprises: identifying slice locations of the CT data; and determining if any of the identified CT slices lie within the PET scan region. 5. The method in accordance with claim 1 wherein selecting a portion of the CT data comprises: identifying slice locations of the CT data that lie within the PET scan region; and determining the quantity of CT slices within the PET scan region. 6. The method in accordance with claim 1, wherein the weighting factor is determined by at least two adjacent CT images that lie within the axial location of the PET scan, the CT images are at least one of overlapping CT images and non-overlapping CT images where all the CT images have the same slice thickness. 7. The method in accordance with claim 1, wherein the weighting factor is determined by at least two CT images that lie within the axial location of the PET scan, the CT images are separated by a distance and all the CT images have the same slice thickness. 8. The method in accordance with claim 1, wherein the weighting factor is determined by averaging at least two CT images together, the CT images do not lie within the axial boundaries of the PET scan region. 9. The method in accordance with claim 8, wherein the weighting factor is determined by interpolating CT images, the CT images are at least one of a thin CT slice and a thick CT slice where each CT image is separated by a distance. 10. The method in accordance with claim 1, wherein the weighting factor is determined by combining CT images where a CT image is at least one of a thin CT slice and a thick CT slice. 11. An imaging system for imaging a patient, said system comprising: a CT unit having a patient bore therethrough; a PET unit having a patient bore therethrough; a control mechanism communicatively coupled to said CT and PET units to control movement of said CT and PET units; and a computer coupled to said CT and PET units; said computer programmed to: (i) process a selected portion of CT data to generate a plurality of computed tomography attenuation correction (CTAC) factors; (ii) weight the CTAC factors to generate a PET attenuation correction map, wherein the weights are determined based on an axial location and a slice thickness of the CT data and an axial location and a slice thickness of a PET scan region; and (iii) utilize the generated attenuation correction map to generate an attenuation corrected PET image. 12. The imaging system in accordance with claim 11 wherein said computer is further programmed to: determine slice locations of the CT data; analyze the determined slices to determine if any of the CT slice data are within the axial location of the PET scan region; and select at least two CT slices that are positioned within the axial location of the PET scan region. 13. The imaging system in accordance with claim 11 wherein said computer is further programmed to: identify a plurality of slice locations of the CT data; and determine the start and end of each selected CT slice within the PET scan region. 14. The imaging system in accordance with claim 11 wherein said computer is further programmed to: select slices of CT data; and determine the quantity of the selected CT slices that lie within the PET scan region. 15. The imaging system in accordance with claim 11 wherein said computer is further programmed to determine a weighting factor by: identifying adjacent CT images within the PET scan region, where the CT images are at least one of an overlapping CT image and a non-overlapping CT image; determining a slice thickness for the CT images as being at least one of a thin slice and a thick slice; and selecting the CT images having the same slice thickness. 16. A computer program embodied on a computer readable medium for correcting Positron Emission Tomography (PET) data, said program configured to: process a selected portion of CT data to generate a plurality of computed tomography attenuation correction (CTAC) factors; weight the CTAC factors to generate a PET attenuation correction map wherein the weights are determined based on an axial location and a slice thickness of the CT data and an axial location and a slice thickness of the PET data; and utilize the attenuation correction map to generate an attenuation corrected PET image. 17. The computer program in accordance with claim 16 further programmed to: determine slice locations of the CT data; analyze the CT slice data to determine if any of the CT slices are within the axial location of the PET scan region; and select at least two CT slices that are positioned within the axial location of the PET scan region. 18. The computer program in accordance with claim 16 further programmed to: select CT slices in the CT data that are positioned within the PET scan region; identify the start and end of each selected CT slice within the PET scan region; and determine the quantity of the selected CT slices that lie within the PET scan region. 19. The computer program in accordance with claim 16 further programmed to determine a weighting factor by: identifying adjacent CT images within the PET scan region, where the CT images are at least one of an overlapping CT image and a non-overlapping CT image; determining a slice thickness for the CT images as being at least one of a thin slice and a thick slice; and selecting the CT images having the same slice thickness.