SYSTEM AND METHOD FOR DEEP-LEARNING BASED ESTIMATION OF CORONARY ARTERY PRESSURE DROP

A computer-implemented method includes obtaining, via a processor, clinical images including vessels and generating, via the processor, straightened-out images for each coronary tree path within respective clinical images, The method also includes extracting, via the processor, segmented 3D image pa...

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Bibliographic Details
Main Authors Pack, Jed Douglas, Davis, Cynthia Elizabeth Landberg, Ghose, Soumya, Venugopal, Prem, Mitra, Jhimli, Edic, Peter Michael
Format Patent
LanguageEnglish
Published 08.08.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
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Summary:A computer-implemented method includes obtaining, via a processor, clinical images including vessels and generating, via the processor, straightened-out images for each coronary tree path within respective clinical images, The method also includes extracting, via the processor, segmented 3D image patches, determining, via the processor, overlapping binary mask volumes for each segment, and predicting, via the processor, pressure drops across the segmented image patches using a trained deep neural network.
Bibliography:Application Number: US202418636614