Invention Grant
- Patent Title: Preprocessing medical image data for machine learning
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Application No.: US17055255Application Date: 2019-05-08
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Publication No.: US11861839B2Publication Date: 2024-01-02
- Inventor: Rolf Jürgen Weese , Alexandra Groth , Tom Brosch , Jochen Peters
- Applicant: KONINKLIJKE PHILIPS N.V.
- Applicant Address: NL Eindhoven
- Assignee: KONINKLIJKE PHILIPS N.V.
- Current Assignee: KONINKLIJKE PHILIPS N.V.
- Current Assignee Address: NL Eindhoven
- Priority: EP 172162 2018.05.14
- International Application: PCT/EP2019/061770 2019.05.08
- International Announcement: WO2019/219466A 2019.11.21
- Date entered country: 2020-11-13
- Main IPC: G06T7/11
- IPC: G06T7/11 ; G06N20/00 ; G06T7/00 ; G06V10/82 ; G06V10/46 ; G06V20/64

Abstract:
A system and computer-implemented method are provided for preprocessing medical image data for machine learning. Image data is accessed which comprises an anatomical structure. The anatomical structure in the image data is segmented to obtain a segmentation of the anatomical structure as a delineated part of the image data. A grid is assigned to the delineated part of the image data, the grid representing a partitioning of an exterior and interior of the type of anatomical structure using grid lines, wherein said assigning comprises adapting the grid to fit the segmentation of the anatomical structure in the image data. A machine learning algorithm is then provided with an addressing to the image data in the delineated part on the basis of coordinates in the assigned grid. In some embodiments, the image data of the anatomical structure may be resampled using the assigned grid. Advantageous, a standardized addressing to the image data of the anatomical structure is provided, which may reduce the computational overhead of the machine learning, require fewer training data, etc.
Public/Granted literature
- US20210217164A1 PREPROCESSING MEDICAL IMAGE DATA FOR MACHINE LEARNING Public/Granted day:2021-07-15
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