Journal of the Korean Society of Radiology (대한영상의학회지)

The Korean Society of Radiology (대한영상의학회)
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Brain MRI-Based Artificial Intelligence Software in Patients with Neurodegenerative Diseases: Current Status

퇴행성 뇌질환에서 뇌 자기공명영상 기반 인공지능 소프트웨어 활용의 현재

  • So Yeong Jeong (Department of Radiology, Hanyang University Medical Center, Hanyang University Medical College) ;
  • Chong Hyun Suh (Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Ho Young Park (Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Hwon Heo (Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Woo Hyun Shim (Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Sang Joon Kim (Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine)
  • 정소영 (한양대학교 의과대학 한양대학교병원 영상의학과) ;
  • 서종현 (울산대학교 의과대학 서울아산병원 영상의학과) ;
  • 박호영 (울산대학교 의과대학 서울아산병원 영상의학과) ;
  • 허훤 (울산대학교 의과대학 서울아산병원 영상의학과) ;
  • 심우현 (울산대학교 의과대학 서울아산병원 영상의학과) ;
  • 김상준 (울산대학교 의과대학 서울아산병원 영상의학과)
  • Received : 2022.04.08
  • Accepted : 2022.05.15
  • Published : 2022.05.01
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Abstract

The incidence of neurodegenerative diseases in the older population has increased in recent years. A considerable number of studies have been performed to characterize these diseases. Imaging analysis is an important biomarker for the diagnosis of neurodegenerative disease. Objective and reliable assessment and precise detection are important for the early diagnosis of neurodegenerative diseases. Artificial intelligence (AI) using brain MRI applied to the study of neurodegenerative diseases could promote early diagnosis and optimal decisions for treatment plans. MRI-based AI software have been developed and studied worldwide. Representatively, there are MRI-based volumetry and segmentation software. In this review, we present the development process of brain volumetry analysis software in neurodegenerative diseases, currently used and developed AI software for neurodegenerative disease in the Republic of Korea, probable uses of AI in the future, and AI software limitations.

현대사회가 점차 고령화 사회가 됨에 따라 퇴행성 뇌질환의 발병률이 증가하고 있으며, 이러한 퇴행성 뇌질환에 관한 많은 연구들이 이루어지고 있다. 퇴행성 뇌질환의 진단에서 영상분석은 영상표지자로서 중요한 역할을 하고 있다. 영상분석에서 객관적이고 일관성 있는 평가는 퇴행성 뇌질환의 조기 진단 및 정확한 진단에 중요하다. 이에 다양한 퇴행성 뇌질환과 관련한 영상연구에 자기공명영상(이하 MRI)을 이용한 인공지능이 조기 진단과 최적의 치료 방향 계획 및 결정에 도움이 될 가능성을 보여주었다. 특히 MRI 기반의 뇌용적 측정과 분획화 및 특성을 포착하는 인공지능 소프트웨어들이 개발되고 연구되기 시작했다. 본 고찰에서는 우리나라에서 퇴행성 뇌질환과 관련하여 사용되고 있는 인공지능 소프트웨어의 현재 상황과 향후 인공지능 소프트웨어의 퇴행성 뇌질환 연구에의 활용, 그리고 인공지능 소프트웨어의 한계에 대해서 다루고자 한다.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF-2021R1C1C1014413).

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