AUTOMATED ANATOMICAL LABELING BY MULTI-CONTRAST DIFFEOMORPHIC PROBABILITY FUSION
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Accused Products
Abstract
A computer-implemented method, system and non-transitory computer readable storage medium for classifying a region of interest of a subject, including receiving imaging data comprising at least one image element, the imaging data comprising the region of interest of the subject; providing a plurality of atlases, each of the plurality of atlases having a candidate region that corresponds to the region of interest of the imaging data, each of the plurality of atlases having at least one image element with associated location and property information; co-registering the plurality of atlases to the imaging data, using at least one processor; assigning a probability to generate a labeling parameter for the region of interest, the probability being associated with each atlas; and classifying the region of interest of the subject based on the assigning.
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Citations
56 Claims
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2-27. -27. (canceled)
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28. A system for classifying a region of interest of a subject, the system comprising:
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a memory storing computer-executable instructions; and a processor that is coupled to the memory and that is configured to execute the computer-executable instructions to perform; receiving imaging data comprising at least one image element, the imaging data comprising the region of interest of the subject; providing a plurality of atlases, each of the plurality of atlases having a candidate region that corresponds to the region of interest of the imaging data, each of the plurality of atlases having at least one image element with associated location and property information; co-registering the plurality of atlases to the imaging data; assigning a probability to generate a labeling parameter for the region of interest, the probability being associated with each atlas; and classifying the region of interest of the subject based on said assigning. - View Dependent Claims (1, 29, 30, 31, 32, 33, 34, 35, 42, 46, 47, 48, 49, 51, 52, 53)
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33-1. The system of claim 28, wherein the labeling parameter is at least one of:
- size of tissue, amount of cerebrospinal fluid or type of tissue.
- 36. The system of claim 36, wherein the weight increases as a difference in intensity between the region of interest and the corresponding candidate region of the atlas decreases.
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40. The system of claim 40, wherein the weight corresponds to a function of at least two modalities of the imaging data and the plurality of atlases.
- 43. The system of claim 43, wherein the weight increases as an amount of deformation of the region of interest from being mapped to the atlas decreases.
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45. The system of claim 45, wherein the other features include non-image information of the subject and atlases, the non-image information including a function of an age of the subject of the imaging data and an age corresponding to the plurality of atlases and/or a diagnosis of the subject of the imaging data and a diagnosis corresponding to the plurality of atlases.
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50. The system of claim 50, wherein the anatomical feature is at least one of an abnormality, a disease, a condition, a diagnosis, or any combination thereof.
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55. A non-transitory computer readable storage medium for classifying a region of interest of a subject, the computer readable storage medium comprising instructions that when executed enable a computing system to perform:
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receiving imaging data comprising at least one image element, the imaging data comprising the region of interest of the subject; providing a plurality of atlases, each of the plurality of atlases having a candidate region that corresponds to the region of interest of the imaging data, each of the plurality of atlases having at least one image element with associated location and property information; co-registering the plurality of atlases to the imaging data, using at least one processor; assigning a probability to generate a labeling parameter for the region of interest, the probability being associated with each atlas; and classifying the region of interest of the subject based on said assigning.
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56-81. -81. (canceled)
Specification