Patent · US Active

Deep learning based bone removal in computed tomography angiography

US10582907B2 · kind B2 · utility

8Cited by

7References

18Claims

0Family size

Assignee

Siemens Healthcare Limited · DE

Inventors

Mingqing Chen · Plainsboro, US
Tae-Soo Kim · Uiwang-si, KR
Jan Kretschmer · Nürnberg, DE
Sebastian Seifert · Erlangen, DE
Shaohua Kevin Zhou · Plainsboro, US
Max Schöbinger · Hirschaid, DE
David Liu · San Francisco, US
Zhoubing Xu · Plainsboro, US
Sasa Grbic · Plainsboro, US
He Zhang · San Jose, US

Key dates

Filing date	Oct 9, 2017
Grant date	Mar 10, 2020
Priority date	—
Expiry date	May 5, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30101
WIPO fieldMedical technology
WIPO sectorInstruments

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.