U-shaped network combining dual-stream fusion mamba and redesigned multilayer perceptron for myocardial pathology segmentation.

Journal: Medical physics
Published Date: Apr 17, 2025

Abstract

BACKGROUND: Cardiac magnetic resonance imaging (CMR) provides critical pathological information, such as scars and edema, which are vital for diagnosing myocardial infarction (MI). However, due to the limited pathological information in single-sequence CMR images and the small size of pathological regions, automatic segmentation of myocardial pathology remains a significant challenge.

Authors

  • Wenjie Zhang
    Laboratory of Clinical Nuclear Medicine, Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 Guo Xue Alley, Chengdu, 610041, People's Republic of China.
  • Tiejun Yang
    Key Laboratory of Grain Information Processing and Control (HAUT), Ministry of Education, Zhengzhou, China.
  • JiaCheng Fan
    School of Mechanical Engineering, Shanghai Jiao Tong University, Room 901, Dongchuan Road 800, Minhang District, Shanghai, 200240, China.
  • Heng Wang
    Fujian Key Laboratory of Traditional Chinese Veterinary Medicine and Animal Health, College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, China.
  • Mingzhu Ji
    School of Information Science and Engineering, Henan University of Technology, Zhengzhou, China.
  • Huiyao Zhang
    School of Information Science and Engineering, Henan University of Technology, Zhengzhou, China.
  • Jianyu Miao
    College of Information Science and Engineering, Henan University of Technology, Zhengzhou, 450001, China. Electronic address: jymiao@haut.edu.cn.

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