IMAGE ANALYSIS OF BRAIN IMAGE DATA
First Claim
Patent Images
1. An image analysis system comprising:
- an input unit (42) for receiving data (20) indicative of a deficit and for receiving image data (23) describing at least part of an object;
a storage unit (43) for storing an object model (21), where each voxel or group of voxels is associated with one or more labels (26), the one or more labels comprising an anatomical label and a deficit label;
a correlating unit (44) for correlating the data indicative of the deficit and the object model to identify one or more regions of interest (22) in the object model;
a mapping unit (49) for mapping the object model to the image data to obtain target image data (24); and
an identifying unit (400) for identifying one or more regions of interest (22) in the target image data (24).
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Abstract
The present invention relates to analysis of image data, e.g. brain image data, where regions of interest are identified in patient specific image data based on non-image data. The brain image data is analyzed by correlating non-image data (20) in the form of data indicative of a neurological deficit and an object model (21) to identify one or more regions of interest (22) in the brain model, mapping the brain model to patient specific brain image data to obtain target image data (24), and identifying the one or more regions of interest in the target image data.
16 Citations
11 Claims
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1. An image analysis system comprising:
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an input unit (42) for receiving data (20) indicative of a deficit and for receiving image data (23) describing at least part of an object; a storage unit (43) for storing an object model (21), where each voxel or group of voxels is associated with one or more labels (26), the one or more labels comprising an anatomical label and a deficit label; a correlating unit (44) for correlating the data indicative of the deficit and the object model to identify one or more regions of interest (22) in the object model; a mapping unit (49) for mapping the object model to the image data to obtain target image data (24); and an identifying unit (400) for identifying one or more regions of interest (22) in the target image data (24). - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 10, 11)
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9. A method of analyzing image data, comprising:
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receiving (1) data indicative of a deficit; receiving (5) image data describing at least part of an object; accessing (2) an object model where each voxel or group of voxels is associated with one or more labels, the one or more labels comprising an anatomical label and a deficit label; and correlating (3) the data indicative of the deficit and the object model to identify one or more regions of interest in the object model; mapping (6) the object model to the image data to obtain target image data; identifying (7) the one or more regions of interest in the target image data.
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Specification