Points of interest linear attention network for real-time non-rigid liver volume to surface registration.

Journal: Medical physics
Published Date: May 17, 2024

Abstract

BACKGROUND: In laparoscopic liver surgery, accurately predicting the displacement of key intrahepatic anatomical structures is crucial for informing the doctor's intraoperative decision-making. However, due to the constrained surgical perspective, only a partial surface of the liver is typically visible. Consequently, the utilization of non-rigid volume to surface registration methods becomes essential. But traditional registration methods lack the necessary accuracy and cannot meet real-time requirements.

Authors

  • Zeming Chen
    State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin 300071, PR China; College of Life Sciences, Nankai University, Tianjin 300071, PR China.
  • Beiji Zou
    School of Information Science and Engineering, Central South University, Changsha, China; Mobile Health Ministry of Education-China Mobile Joint Laboratory, Changsha, China.
  • Xiaoyan Kui
    School of Computer Science and Engineering, Central South University, Changsha, Hunan, China.
  • Yangyang Shi
    School of Computer Science and Engineering, Central South University, Changsha, Hunan, China.
  • Ding Lv
    School of Computer Science and Engineering, Central South University, Changsha, Hunan, China.
  • Liming Chen
    Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China.

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