- 专利标题: METHOD AND APPARATUS FOR ATLAS/MODEL-BASED SEGMENTATION OF MAGNETIC RESONANCE IMAGES WITH WEAKLY SUPERVISED EXAMINATION-DEPENDENT LEARNING
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申请号: US15149474申请日: 2016-05-09
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公开(公告)号: US20170323444A1公开(公告)日: 2017-11-09
- 发明人: Matthias Fenchel , Yiqiang Zhan
- 申请人: Siemens Healthcare GmbH
- 申请人地址: DE Erlangen
- 专利权人: Siemens Healthcare GmbH
- 当前专利权人: Siemens Healthcare GmbH
- 当前专利权人地址: DE Erlangen
- 主分类号: G06T7/00
- IPC分类号: G06T7/00 ; G06K9/62 ; G06T11/00
摘要:
In a magnetic resonance (MR) apparatus and segmentation method, a region in an MR image, acquired from a scan of a patient with an MR scanner of the apparatus, is provided to a computer for segmentation of the region from the overall image dataset. The segmentation takes place based on a classification of image elements of the image dataset, and the classification is iteratively re-trained in a weakly supervised learning algorithm based on examination-specific information provided to the computer.