Invention Grant
- Patent Title: Automated estimation of midline shift in brain ct images
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Application No.: US17303932Application Date: 2021-06-10
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Publication No.: US11861828B2Publication Date: 2024-01-02
- Inventor: Nguyen Nguyen , Youngjin Yoo , Pascal Ceccaldi , Eli Gibson , Andrei Chekkoury
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G06T7/00
- IPC: G06T7/00

Abstract:
Systems and methods for quantifying a shift of an anatomical object of a patient are provided. A 3D medical image of an anatomical object of a patient is received. An initial location of landmarks on the anatomical object in the 3D medical image is determined using a first machine learning network. A 2D slice depicting the initial location of the landmarks is extracted from the 3D medical image. The initial location of the landmarks in the 2D slice is refined using a second machine learning network. A shift of the anatomical object is quantified based on the refined location of the landmarks in the 2D slice. The quantified shift of the anatomical object is output.
Public/Granted literature
- US20220067929A1 AUTOMATED ESTIMATION OF MIDLINE SHIFT IN BRAIN CT IMAGES Public/Granted day:2022-03-03
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