Invention Grant
- Patent Title: Spatially consistent multi-scale anatomical landmark detection in incomplete 3D-CT data
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Application No.: US15695112Application Date: 2017-09-05
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Publication No.: US10373313B2Publication Date: 2019-08-06
- Inventor: Florin Cristian Ghesu , Bogdan Georgescu , Sasa Grbic , Dorin Comaniciu
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00 ; G06K9/62 ; G06T7/73

Abstract:
A method and system for automated spatially-consistent multi-scale detection of anatomical landmarks in medical images is disclosed. A discrete scale-space representation of a medical image of a patient is generated. A plurality of anatomical landmarks are detected at a coarsest scale-level of the discrete scale-space representation of the medical image using a respective trained search model trained at the coarsest scale-level for each of the plurality of anatomical landmarks. Spatial coherence of the detected anatomical landmarks is enforced by fitting a learned robust shape model of the plurality of anatomical landmarks to the detected anatomical landmarks at the coarsest scale-level to robustly determine a set of the anatomical landmarks within a field-of-view of the medical image. The detected landmark location for each of the landmarks in the set of anatomical landmarks is refined at each remaining scale-level of the discrete scale-space representation of the medical image using, for each landmark, a respective trained search model trained at each remaining scale-level and constrained based on the predicted landmark location at a previous scale-level.
Public/Granted literature
- US20180253837A1 Spatially Consistent Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data Public/Granted day:2018-09-06
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