METHOD AND DEVICE FOR QUANTITATIVE ULTRASOUND IMAGING FOR SPATIO-TEMPORAL CONSISTENCY

This operating method of an imaging device operating by means of at least one processor comprises the steps of: sequentially acquiring ultrasound data of tissue; using a neural network so as to generate a first quantitative image for first ultrasound data; and, in repetition, using the neural networ...

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Bibliographic Details
Main Authors BAE, Hyeon-Min, OH, Seokhwan, KIM, Youngmin, JUNG, Guil, KIM, Myeong Gee
Format Patent
LanguageEnglish
French
Korean
Published 29.08.2024
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Summary:This operating method of an imaging device operating by means of at least one processor comprises the steps of: sequentially acquiring ultrasound data of tissue; using a neural network so as to generate a first quantitative image for first ultrasound data; and, in repetition, using the neural network so as to infer a quantitative image difference from the relationship between previous ultrasound data and current ultrasound data, and using the quantitative image difference so as to update a previous quantitative image, thereby generating a current quantitative image. Selon l'invention, un procédé de fonctionnement d'un dispositif d'imagerie fonctionnant au moyen d'au moins un processeur comprend les étapes consistant à : acquérir successivement des données ultrasonores de tissu ; utiliser un réseau de neurones artificiels de façon à générer une première image quantitative pour des premières données ultrasonores ; et, à nouveau, utiliser le réseau de neurones artificiels de façon à déduire une différence d'image quantitative à partir de la relation entre les données ultrasonores précédentes et les données ultrasonores actuelles, et utiliser la différence d'image quantitative de façon à mettre à jour une image quantitative précédente, générant ainsi une image quantitative actuelle. 적어도 하나의 프로세서에 의해 동작하는 이미징 장치의 동작 방법으로서, 조직의 초음파 데이터를 순차적으로 획득하는 단계, 신경망을 사용하여 최초 초음파 데이터에 대한 최초 정량적 이미지를 생성하는 단계, 그리고 반복적으로, 상기 신경망을 사용하여 이전 초음파 데이터와 현재 초음파 데이터 간의 관계로부터 정량적 이미지 차이를 추론하고, 상기 정량적 이미지 차이를 이용하여 이전 정량적 이미지를 업데이트함으로써 현재 정량적 이미지를 생성하는 단계를 포함한다.
Bibliography:Application Number: WO2024KR02183