DETERMINING CHARACTERISTICS OF ADIPOSE TISSUE USING ARTIFICIAL NEURAL NETWORK

Techniques for determining at least one characteristic of adipose tissue comprised in an anatomical structure are provided. The at least one characteristic of the adipose tissue is determined based on one or more segmented CT images using a trained neural network. For example, the at least one chara...

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Bibliographic Details
Main Authors Grbic, Sasa, Xu, Zhoubing, Geiger, Bernhard, Sühling, Michael, Lades, Felix
Format Patent
LanguageEnglish
French
German
Published 07.02.2024
Subjects
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:Techniques for determining at least one characteristic of adipose tissue comprised in an anatomical structure are provided. The at least one characteristic of the adipose tissue is determined based on one or more segmented CT images using a trained neural network. For example, the at least one characteristic of the adipose tissue may be determined by feeding the one or more segmented CT images into the trained neural network. The one or more segmented CT images are obtained by segmenting each one of one or more CT images depicting the anatomical structure comprising the adipose tissue such that a contour of the adipose tissue is determined.
Bibliography:Application Number: EP20220188055