Invention Grant
US08170347B2 ROI-based assessment of abnormality using transformation invariant features
有权
基于投资回报率的异常评估使用变换不变特征
- Patent Title: ROI-based assessment of abnormality using transformation invariant features
- Patent Title (中): 基于投资回报率的异常评估使用变换不变特征
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Application No.: US11898047Application Date: 2007-09-07
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Publication No.: US08170347B2Publication Date: 2012-05-01
- Inventor: Bruno Ancelin
- Applicant: Bruno Ancelin
- Applicant Address: US PA Malvern
- Assignee: Siemens Medical Solutions USA, Inc.
- Current Assignee: Siemens Medical Solutions USA, Inc.
- Current Assignee Address: US PA Malvern
- Agency: Crowell & Moring LLP
- Priority: GB0617515.2 20060907
- Main IPC: G06K9/68
- IPC: G06K9/68

Abstract:
A method and apparatus of comparing the results of medical imaging by, for example, PET scanning dispenses with the need for intensity normalization. The relationships between features extracted from relevant regions of interest in the image are studied. In one example, mean intensities in the principle brain lobes are compared to each other and a short image ID is constructed and used to derive population statistics and diagnosis. The population statistics are compared with ‘reference’ statistics in order to assess abnormality. Comparison by a number of methods is possible, and the invention further provides concerns a novel voting mechanism which derives abnormality scores for each region.
Public/Granted literature
- US20080069446A1 ROI-based assessment of abnormality using transformation invariant features Public/Granted day:2008-03-20
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