open access publication

Article, 2024

Prior-guided individualized thalamic parcellation based on local diffusion characteristics

HUMAN BRAIN MAPPING, ISSN 1065-9471, 1065-9471, Volume 45, 4, 10.1002/hbm.26646

Contributors

Gao, Chaohong [1] [2] [3] [4] Wu, Xia [1] [2] Wang, Yaping 0000-0002-1973-590X [1] [2] [3] [4] Li, Gang [1] [2] Ma, Liang [1] [2] Wang, Changshuo 0000-0002-4056-4922 [1] [2] [3] Xie, Sangma [5] Chu, Congying [1] [2] Madsen, K. 0000-0001-8606-7641 [2] [3] [4] [6] Hou, Zhongyu (Corresponding author) [7] Fan, Lingzhong 0000-0002-4813-621X (Corresponding author) [1] [2] [3] [8]

Affiliations

  1. [1] Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
    2. [NORA names: China; Asia, East];
  2. [2] Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
    3. [NORA names: China; Asia, East];
  3. [3] Univ Chinese Acad Sci, Sino Danish Coll, Sino Danish Ctr Educ & Res, Beijing, Peoples R China
    4. [NORA names: China; Asia, East];
  4. [4] Tech Univ Denmark, Dept Appl Math & Comp Sci, Lyngby, Denmark
    5. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  5. [5] Hangzhou Dianzi Univ, Sch Automat, Inst Biomed Engn & Instrumentat, Hangzhou, Peoples R China
    6. [NORA names: China; Asia, East];

Abstract

Based on the "central-boundary prior" hypothesis and "one person one model" principle, we proposed a prior-guided individualized thalamic parcellation method to automatically extract the thalamic parcellation pattern, capturing both high individual specificity and population commonality. image

Keywords

diffusion MRI, individualized brain mapping, machine learning, orientation distribution function, thalamic parcellation

Data Provider: Clarivate

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