- Patent Title: Determining regions of hyperdense lung tissue in an image of a lung
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Application No.: US16644037Application Date: 2018-09-04
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Publication No.: US11348229B2Publication Date: 2022-05-31
- Inventor: Rafael Wiemker , Axel Saalbach , Jens Von Berg , Tom Brosch , Tim Philipp Harder , Fabian Wenzel , Christopher Stephen Hall
- 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
- Agent Micah-Shalom Kesselman
- Priority: EP17192665 20170922
- International Application: PCT/EP2018/073711 WO 20180904
- International Announcement: WO2019/048418 WO 20190314
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/11 ; G06T7/70 ; A61B6/03 ; A61B6/00 ; G06V10/44 ; G06V10/50

Abstract:
There is provided a computer-implemented method and system (100) for determining regions of hyperdense lung parenchyma in an image of a lung. The system (100) comprises a memory (106) comprising instruction data representing a set of instructions and a processor (102) configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor (102), cause the processor (102) to locate a vessel in the image, determine a density of lung parenchyma in a region of the image that neighbours the located vessel, and determine whether the region of the image comprises hyperdense lung parenchyma based on the determined density, hyperdense lung parenchyma having a density greater than −800 HU.
Public/Granted literature
- US20210065361A1 DETERMINING REGIONS OF HYPERDENSE LUNG TISSUE IN AN IMAGE OF A LUNG Public/Granted day:2021-03-04
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