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Deep Learning Based Bone Removal in Computed Tomography Angiography
专利权人:
Siemens Healthcare GmbH
发明人:
Mingqing Chen,Tae Soo Kim,Jan Kretschmer,Sebastian Seifert,Shaohua Kevin Zhou,Max Schöbinger,David Liu,Zhoubing Xu,Sasa Grbic,He Zhang
申请号:
US15727677
公开号:
US20180116620A1
申请日:
2017.10.09
申请国别(地区):
US
年份:
2018
代理人:
摘要:
A method and apparatus for deep learning based automatic bone removal in medical images, such as computed tomography angiography (CTA) volumes, is disclosed. Bone structures are segmented in a 3D medical image of a patient by classifying voxels of the 3D medical image as bone or non-bone voxels using a deep neural network trained for bone segmentation. A 3D visualization of non-bone structures in the 3D medical image is generated by removing voxels classified as bone voxels from a 3D visualization of the 3D medical image.
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中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/
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