TY - GEN
T1 - NAT-3D
T2 - 2025 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025
AU - Deng, Zihan
AU - Zhang, Jier
AU - Xiang, Nan
AU - Pan, Yushan
AU - Pan, Junjun
AU - Xu, Zhijie
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 3D tracking technology serves as an essential enabler in numerous domains, most notably within digital healthcare, where it supports critical procedures such as surgical navigation, trajectory planning, and high-fidelity surgical simulation, etc. However, due to the slender, textureless, and reflective characteristics of basic surgical instruments, coupled with the complexity of their diverse motion patterns, existing systems and methods face significant limitations in achieving accurate 3D tracking of these instruments. We propose NAT-3D, an effective and efficient non-rigid 3D tracking approach based on multi-modal region estimation, integrating kinematic structural constraints and nonrigid constraints. This method enables accurate tracking and dynamic mapping of a variety of basic surgical instruments, including scalpels, scissors, clamps, and forceps, without the need for additional markers. The tracking covers various movement modes, including rigid motion, local mechanical motion, and non-rigid composite motion. Extensive experiments demonstrate that our method outperforms previous algorithms in terms of robustness, accuracy, applicability, and real-time performance. In addition, we introduce a novel dataset for Basic Surgical Instrument Tracking (BSIT), which can serve as a benchmark for future related research.
AB - 3D tracking technology serves as an essential enabler in numerous domains, most notably within digital healthcare, where it supports critical procedures such as surgical navigation, trajectory planning, and high-fidelity surgical simulation, etc. However, due to the slender, textureless, and reflective characteristics of basic surgical instruments, coupled with the complexity of their diverse motion patterns, existing systems and methods face significant limitations in achieving accurate 3D tracking of these instruments. We propose NAT-3D, an effective and efficient non-rigid 3D tracking approach based on multi-modal region estimation, integrating kinematic structural constraints and nonrigid constraints. This method enables accurate tracking and dynamic mapping of a variety of basic surgical instruments, including scalpels, scissors, clamps, and forceps, without the need for additional markers. The tracking covers various movement modes, including rigid motion, local mechanical motion, and non-rigid composite motion. Extensive experiments demonstrate that our method outperforms previous algorithms in terms of robustness, accuracy, applicability, and real-time performance. In addition, we introduce a novel dataset for Basic Surgical Instrument Tracking (BSIT), which can serve as a benchmark for future related research.
KW - 3D Tracking
KW - Dataset
KW - Non-rigid
KW - Surgical Instrument
UR - https://www.scopus.com/pages/publications/105033555107
U2 - 10.1109/BIBM66473.2025.11356885
DO - 10.1109/BIBM66473.2025.11356885
M3 - Conference Proceeding
AN - SCOPUS:105033555107
T3 - Proceedings - 2025 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025
SP - 6170
EP - 6177
BT - Proceedings - 2025 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025
A2 - Liu, Juan
A2 - Huang, Jingshan
A2 - Wang, Xiaowo
A2 - Zhang, Fa
A2 - Zou, Xiufen
A2 - Tian, Tian
A2 - Hu, Xiaohua
A2 - Hu, Bin
A2 - Xiong, Yi
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 December 2025 through 18 December 2025
ER -