A novel MRI-based deep learning imaging biomarker for comprehensive assessment of the lenticulostriate artery-neural complex.

Journal: BMC medical imaging
Published Date: May 26, 2025

Abstract

OBJECTIVES: To develop a deep learning network for extracting features from the blood-supplying regions of the lenticulostriate artery (LSA) and to establish these features as an imaging biomarker for the comprehensive assessment of the lenticulostriate artery-neural complex (LNC).

Authors

  • Yan Song
    Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.
  • Yunlong Jin
    Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
  • Jianguo Wei
  • Jiajia Wang
    Department of Obstetrics and Gynecology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
  • Zhong Zheng
    National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China.
  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Ru Zeng
    Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China. zengru_neo@163.com.
  • Weiping Lu
    Laboratory Department, Daping Hosipital, Army Medical University, Chongqing, 400042, China.
  • Bingcang Huang

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