Invention Grant
US09589211B2 Learning-based aorta segmentation using an adaptive detach and merge algorithm
有权
基于学习的主动脉分割使用自适应分离和合并算法
- Patent Title: Learning-based aorta segmentation using an adaptive detach and merge algorithm
- Patent Title (中): 基于学习的主动脉分割使用自适应分离和合并算法
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Application No.: US14707503Application Date: 2015-05-08
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Publication No.: US09589211B2Publication Date: 2017-03-07
- Inventor: Nathan Lay , David Liu , Jan Kretschmer , Shaohua Kevin Zhou
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlanger
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlanger
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06T7/00 ; G06K9/52 ; G06T11/20 ; G06T19/20 ; G06T15/08

Abstract:
Systems and methods for segmenting a structure of interest in medical imaging data include generating a binary mask highlighting structures in medical imaging data, the highlighted structures comprising a connected component including a structure of interest. A probability map is computed by classifying voxels in the highlighted structures using a trained classifier. A plurality of detaching operations is performed on the highlighted structures to split the connected component into a plurality of detached connected components. An optimal detaching parameter is determined representing a number of the detaching operations. A detached connected component resulting from performing the number of detaching operations corresponding to the optimal detaching parameter is classified as the structure of interest based on the probability map and the trained classifier.
Public/Granted literature
- US20160328631A1 Learning-Based Aorta Segmentation using an Adaptive Detach and Merge Algorithm Public/Granted day:2016-11-10
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