Title:
ULTRASONIC TRANSDUCER POSITIONING APPARATUS, ULTRASONIC TRANSDUCER POSITIONING PROGRAM, AND ULTRASONIC TRANSDUCER POSITIONING ARTIFICIAL-INTELLIGENCE IMPLEMENTATION METHOD
Document Type and Number:
WIPO Patent Application WO/2023/120827
Kind Code:
A1
Abstract:
The present invention relates to an ultrasonic transducer positioning apparatus, an ultrasonic transducer positioning program, and an ultrasonic transducer positioning artificial-intelligence implementation method. The ultrasonic transducer positioning apparatus, according to an embodiment of the present invention, comprises: an input/output unit which allows a user to input data and outputs data in a form that can be identified by the user; a memory in which an ultrasonic transducer positioning program is stored; and a control unit which executes the ultrasonic transducer positioning program to derive result data according to the data input through the input/output unit, wherein the control unit outputs, when a focal position of ultrasonic waves, which is located inside the skull and set to a region where the brain is located, is input, positional data of an ultrasonic transducer, which allows ultrasonic waves to be applied to the input focal position of the ultrasonic waves.
Inventors:
NOH GUN WOO (KR)
YOON KYUNG HO (KR)
JANG MIN YEONG (KR)
CHOI MIN WOOK (KR)
YOON KYUNG HO (KR)
JANG MIN YEONG (KR)
CHOI MIN WOOK (KR)
Application Number:
PCT/KR2022/006608
Publication Date:
June 29, 2023
Filing Date:
May 10, 2022
Export Citation:
Assignee:
UNIV KOREA RES & BUS FOUND (KR)
International Classes:
A61N7/02; A61N7/00
Foreign References:
| KR20190108286A | 2019-09-24 | |||
| JP2020533103A | 2020-11-19 | |||
| JP2015521490A | 2015-07-30 |
Other References:
WANG LIANSHENG; XIE CONG; ZENG NIANYIN: "RP-Net: A 3D Convolutional Neural Network for Brain Segmentation From Magnetic Resonance Imaging", IEEE ACCESS, IEEE, USA, vol. 7, 1 January 1900 (1900-01-01), USA , pages 39670 - 39679, XP011717870, DOI: 10.1109/ACCESS.2019.2906890
BENJDIRA BILEL, OUNI KAIS, AL RAHHAL MOHAMAD M., ALBAKR ABDULRAHMAN, AL-HABIB AMRO, MAHROUS EMAD: "Spinal Cord Segmentation in Ultrasound Medical Imagery", APPLIED SCIENCES, vol. 10, no. 4, pages 1370, XP093074182, DOI: 10.3390/app10041370
CHOI MINWOOK; JANG MINYEONG; YOO SEUNG-SCHIK; NOH GUNWOO; YOON KYUNGHO: "Deep Neural Network for Navigation of a Single-Element Transducer During Transcranial Focused Ultrasound Therapy: Proof of Concept", IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, IEEE, PISCATAWAY, NJ, USA, vol. 26, no. 11, 12 August 2022 (2022-08-12), Piscataway, NJ, USA , pages 5653 - 5664, XP011927124, ISSN: 2168-2194, DOI: 10.1109/JBHI.2022.3198650
BENJDIRA BILEL, OUNI KAIS, AL RAHHAL MOHAMAD M., ALBAKR ABDULRAHMAN, AL-HABIB AMRO, MAHROUS EMAD: "Spinal Cord Segmentation in Ultrasound Medical Imagery", APPLIED SCIENCES, vol. 10, no. 4, pages 1370, XP093074182, DOI: 10.3390/app10041370
CHOI MINWOOK; JANG MINYEONG; YOO SEUNG-SCHIK; NOH GUNWOO; YOON KYUNGHO: "Deep Neural Network for Navigation of a Single-Element Transducer During Transcranial Focused Ultrasound Therapy: Proof of Concept", IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, IEEE, PISCATAWAY, NJ, USA, vol. 26, no. 11, 12 August 2022 (2022-08-12), Piscataway, NJ, USA , pages 5653 - 5664, XP011927124, ISSN: 2168-2194, DOI: 10.1109/JBHI.2022.3198650
Attorney, Agent or Firm:
PARK, Sang Youl (KR)
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