대한영상의학회지 (May 2022)

Brain MRI-Based Artificial Intelligence Software in Patients with Neurodegenerative Diseases: Current Status

  • So Yeong Jeong,
  • Chong Hyun Suh,
  • Ho Young Park,
  • Hwon Heo,
  • Woo Hyun Shim,
  • Sang Joon Kim

DOI
https://doi.org/10.3348/jksr.2022.0048
Journal volume & issue
Vol. 83, no. 3
pp. 473 – 485

Abstract

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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.

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