DETERMINING REGIONS OF HYPERDENSE LUNG TISSUE IN AN IMAGE OF A LUNG

Patent №

US 11,348,229

Granted

2022-05-31

Filed 2020

Owner

KONINKLIJKE PHILIPS N.V.

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16644037

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.

VisionG06V 20/00A61B 6/032A61B 6/50G06T 7/0012G06T 7/11G06T 7/70G06V 10/507G06T 2207/30008+5 more

AI classification

Vision0.96
AI hardware0.16
Natural language0.00
Planning0.00
Knowledge representation0.00
Speech0.00
Evolutionary computation0.00
Machine learning0.00

Ownership

KONINKLIJKE PHILIPS N.V.

assignment · 519960521

Assignors

WIEMKER, RAFAEL, HARDER, TIM PHILIPP, WENZEL, FABIAN, SAALBACH, AXEL, BROSCH, TOM, VON BERG, JENS, HALL, CHRISTOPHER STEPHEN

On an employer assignment, the assignors are typically the inventors.

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