CvTMorph: Improving Local Feature Extraction in Medical Image Registration for Respiratory Motion Modeling with Convolutional Vision Transformer.

Journal: Current medical imaging
PMID: 39257152

Abstract

BACKGROUND: Accurately modeling respiratory motion in medical images is crucial for various applications, including radiation therapy planning. However, existing registration methods often struggle to extract local features effectively, limiting their performance.

Authors

  • Peizhi Chen
    College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China.
  • Xupeng Zou
    College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China.
  • Yifan Guo
    Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology and College of Veterinary Medicine, Huazhong Agricultural University, 430070 Wuhan, PR China.

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