Deep learning-based reconstruction for three-dimensional volumetric brain MRI: a qualitative and quantitative assessment.

Journal: BMC medical imaging
PMID: 40148785

Abstract

BACKGROUND: To evaluate the performance of a deep learning reconstruction (DLR) based on Adaptive-Compressed sensing (CS)-Network for brain MRI and validate it in a clinical setting.

Authors

  • Yeseul Kang
    Department of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, 363 Dongbaekjukjeon-daero, Giheung-gu, Yongin-si, Gyeonggi-do, 16995, Republic of Korea.
  • Sang-Young Kim
    MR Clinical Science, Philips Healthcare, Seoul, Republic of Korea.
  • Jun Hwee Kim
    Department of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, 363 Dongbaekjukjeon-daero, Giheung-gu, Yongin-si, Gyeonggi-do, 16995, Republic of Korea.
  • Nak-Hoon Son
    Department of Statistics, Keimyung University, 1095, Dalgubeol-daero, Dalseo-gu, Daegu , 42601, Republic of Korea.
  • Chae Jung Park
    Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea.

Keywords

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