Unique ID issued by UMIN | UMIN000058024 |
---|---|
Receipt number | R000066324 |
Scientific Title | Development of Generative AI Technologies for Clinical Applications Using 7-Tesla MRI |
Date of disclosure of the study information | 2025/05/30 |
Last modified on | 2025/05/30 13:59:59 |
GAIN-7T Study: Generative AI for Imaging in Neuropsychiatric Disorders with 7-Tesla MRI
GAIN-7T Study
Development of Generative AI Technologies for Clinical Applications Using 7-Tesla MRI
GAIN-7T Study
Japan |
Cases with suspected structural or functional brain abnormalities, as well as healthy controls for comparison.
Neurology | Psychiatry | Neurosurgery |
Adult |
Others
NO
This study aims to develop generative AI-based technologies for 7T-MRI, including denoising, super-resolution, image-to-image translation, and high-resolution spatiotemporal imaging, with potential applications in neuropsychiatric disorders.
Others
The purpose of this study is to evaluate the utility of generative AI in 7T-MRI for neuropsychiatric disorders.
Similarity between generated MRI and original MRI
Interventional
Single arm
Non-randomized
Open -no one is blinded
Self control
1
Diagnosis
Device,equipment |
Measurements will include 7T-MRI, 3T-MRI, and neuropsychological assessments.
18 | years-old | <= |
90 | years-old | > |
Male and Female
1. Patients: Males and females aged 18 to under 90 years with suspected structural or functional brain abnormalities based on clinical evaluation by psychiatrists, neurologists, or neurosurgeons.
2. Healthy controls: Males and females aged 18 to under 90 years with no abnormalities in the central nervous system.
1. Patients: Individuals with impaired consciousness, difficulty in independent walking, or those whose condition is expected to deteriorate. Also excluded are those deemed unsuitable for MRI based on the MRI Pre-screening Checklist.
2. Healthy controls: Individuals deemed unsuitable for MRI based on the MRI Pre-screening Checklist.
200
1st name | Naoya |
Middle name | |
Last name | Oishi |
Kyoto University Graduate School of Medicine
Human Brain Research Center
606-8507
Shogoin Kawahara-cho 54, Sakyo-ku, Kyoto 606-8507, Japan
075-751-3695
noishi@kuhp.kyoto-u.ac.jp
1st name | Naoya |
Middle name | |
Last name | Oishi |
Kyoto University Graduate School of Medicine
Human Brain Research Center
606-8507
Shogoin Kawahara-cho 54, Sakyo-ku, Kyoto 606-8507, Japan
075-751-3695
noishi@kuhp.kyoto-u.ac.jp
Kyoto University
JSPS
Japanese Governmental office
Kyoto University Graduate School and Faculty of Medicine, Ethics Committee
53 Shogoin-kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
075-366-7618
ethcom@kuhp.kyoto-u.ac.jp
NO
2025 | Year | 05 | Month | 30 | Day |
Unpublished
Preinitiation
2025 | Year | 05 | Month | 30 | Day |
2025 | Year | 07 | Month | 01 | Day |
2030 | Year | 03 | Month | 31 | Day |
2025 | Year | 05 | Month | 30 | Day |
2025 | Year | 05 | Month | 30 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000066324