超越传统的结构性MRI:深度学习图像重建和大脑合成MRI的临床应用

Yangsean Choi1, Ji Su Ko, Ji Eun Park

  • 1From the Department of Radiology and Research Institute of Radiology, Asan Medical Center, Seoul, Republic of Korea (Y.C., J.S.K., J.E.P.); AIRS Medical LLC, Seoul, Republic of Korea (G.J.); Department of Radiology, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea (M.S.); Department of Radiology, Harvard Medical School, Boston, MA (Y.J., S.F., B.B.); Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA (Y.J., S.F., B.B.); and Harvard/MIT Health Sciences and Technology, Cambridge, MA (B.B.).

Investigative radiology
|August 19, 2024
PubMed
概括

深度学习重建 (DLR) 和定量核磁共振技术显著增强对内疾病的大脑成像. 这些先进的方法提高了图像质量和诊断准确性,提供了比传统结构成像更好的洞察力.