公开(公告)号：US20220292737A1

公开(公告)日：2022-09-15

申请号：US17689032

申请日：2022-03-08

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Hyung Min KIM ,  Kyungho YOON ,  Tae Young PARK ,  Heekyung KOH

IPC: G06T11/00 ,  G06T7/11 ,  A61N7/02 ,  A61B5/00 ,  A61B5/055 ,  G16H30/40

Abstract: The present disclosure relates to a method for converting magnetic resonance imaging (MRI) to a computed tomography (CT) image using an artificial intelligence machine learning model, for use in ultrasound treatment device applications. The method includes acquiring training data including an MRI image and a CT image for machine learning; training an artificial neural network model using the training data, wherein artificial neural network model generates a CT image corresponding to the MRI image, and compares the generated CT image with the original CT image included in the training data; receiving an input MRI image to be converted to a CT image; splitting the input MRI image into a plurality of patches; generating patches of a CT image corresponding to the patches of the input MRI image using the trained artificial neural network model; and merging the patches of the CT image to generate an output CT image.

公开(公告)号：US20220319001A1

公开(公告)日：2022-10-06

申请号：US17710026

申请日：2022-03-31

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Hyung Min KIM ,  Kyungho YOON ,  Tae Young PARK ,  Heekyung KOH

IPC: G06T7/00 ,  G16H20/30

Abstract: A real-time acoustic simulation method based on artificial intelligence according to an embodiment of the present disclosure includes acquiring medical image data of a target area to be treated; determining ultrasound parameters related to the output of an ultrasonic transducer based on the medical image data; inputting the ultrasound parameters to a numerical model to generate a numerical model based acoustic simulation image for a specific position of the ultrasonic transducer; training an artificial intelligence model using the medical image data and the numerical model based acoustic simulation image; generating an artificial intelligence model based acoustic simulation image for an arbitrary position of the ultrasonic transducer using the trained artificial intelligence model; and outputting a real-time acoustic simulation image with a position change of the ultrasonic transducer.