- Patent Title: Deep learning based bone removal in computed tomography angiography
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Application No.: US15727677Application Date: 2017-10-09
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Publication No.: US10582907B2Publication Date: 2020-03-10
- Inventor: Mingqing Chen , Tae Soo Kim , Jan Kretschmer , Sebastian Seifert , Shaohua Kevin Zhou , Max Schöbinger , David Liu , Zhoubing Xu , Sasa Grbic , He Zhang
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: A61B6/00
- IPC: A61B6/00 ; G06T7/136 ; G06T7/11 ; A61B6/03 ; G06K9/34

Abstract:
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.
Public/Granted literature
- US20180116620A1 Deep Learning Based Bone Removal in Computed Tomography Angiography Public/Granted day:2018-05-03
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