Invention Grant
US08693750B2 Method and system for automatic detection of spinal bone lesions in 3D medical image data
有权
3D医学图像数据中脊髓损伤自动检测方法及系统
- Patent Title: Method and system for automatic detection of spinal bone lesions in 3D medical image data
- Patent Title (中): 3D医学图像数据中脊髓损伤自动检测方法及系统
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Application No.: US13342248Application Date: 2012-01-03
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Publication No.: US08693750B2Publication Date: 2014-04-08
- Inventor: Michael Wels , Michael Suehling , Shaohua Kevin Zhou , David Liu , Dijia Wu , Christopher V. Alvino , Michael Kelm , Grzegorz Soza , Dorin Comaniciu
- Applicant: Michael Wels , Michael Suehling , Shaohua Kevin Zhou , David Liu , Dijia Wu , Christopher V. Alvino , Michael Kelm , Grzegorz Soza , Dorin Comaniciu
- Applicant Address: DE München
- Assignee: Siemens Aktiengesellschaft
- Current Assignee: Siemens Aktiengesellschaft
- Current Assignee Address: DE München
- Agent Michele L. Conover
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/46 ; G06K9/62 ; G06K9/68 ; G06K9/70

Abstract:
A method and system for automatic detection and volumetric quantification of bone lesions in 3D medical images, such as 3D computed tomography (CT) volumes, is disclosed. Regions of interest corresponding to bone regions are detected in a 3D medical image. Bone lesions are detected in the regions of interest using a cascade of trained detectors. The cascade of trained detectors automatically detects lesion centers and then estimates lesion size in all three spatial axes. A hierarchical multi-scale approach is used to detect bone lesions using a cascade of detectors on multiple levels of a resolution pyramid of the 3D medical image.
Public/Granted literature
- US20120183193A1 Method and System for Automatic Detection of Spinal Bone Lesions in 3D Medical Image Data Public/Granted day:2012-07-19
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