BODY COMPONENT ANALYSIS METHOD USING MEDICAL IMAGE, AND APPARATUS THEREFOR

A body component analysis method using a medical image, and an apparatus therefor are disclosed. The body component analysis apparatus trains a first artificial intelligence model by using training data in which a body tissue region of muscle or fat is labeled in a medical image for training, and then uses the first artificial intelligence model to differentiate body tissue from a medical image to be examined, and outputs body component information detected on the basis of the area, the volume, or the weight of the body tissue in the medical image to be examined. The present invention is a technique developed through the Seoul Metropolitan City Seoul Business Agency 2020 Artificial Intelligence Technical Commercialization Support Project (CY20053) "CT image-based metabolic syndrome, osteoporosis, sarcopenia, opportunistic screening, and artificial intelligence validation and commercialization"..

Medienart:

Patent

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Europäisches Patentamt - (2022) vom: 28. Juli Zur Gesamtaufnahme - year:2022

Sprache:

Englisch

Beteiligte Personen:

PARK SANG JOON [VerfasserIn]
LEE HYUK HEE [VerfasserIn]
YOON SOON HO [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

Sonstige Themen:
615
A61B: Diagnosis; surgery; identification (analysing biolo (...)
G06T: Image data processing or generation, in general (...)
G16H: Healthcare informatics, i.e. information and commun (...)
inf
med

Anmerkungen:

Source: www.epo.org (no modifications made), First posted: 2022-07-28, Last update posted on www.tib.eu: 2024-02-23, Last updated: 2024-03-01

Patentnummer:

WO2022158654

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

EPA015659437