A methodology and clinical dataset with ground-truth to evaluate registration accuracy quantitatively in computer-assisted Laparoscopic Liver Resection

Author:

Rabbani N.1,Calvet L.123,Espinel Y.1,Le Roy B.14,Ribeiro M.12,Buc E.12,Bartoli A.1

Affiliation:

1. EnCoV, Institut Pascal, Clermont-Ferrand, France

2. CHU, Clermont-Ferrand, France

3. IRIT, University of Toulouse

4. CHU, Saint-Etienne, France

Funder

CNRS

CLARA

AIALO

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Reference35 articles.

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A review on organ deformation modeling approaches for reliable surgical navigation using augmented reality;Computer Assisted Surgery;2024-09-10

2. Neural patient-specific 3D–2D registration in laparoscopic liver resection;International Journal of Computer Assisted Radiology and Surgery;2024-07-16

3. Markerless Ultrasnd Probe Pose Estimation in Mini-Invasive Surgery;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. LARLUS: laparoscopic augmented reality from laparoscopic ultrasound;International Journal of Computer Assisted Radiology and Surgery;2024-04-30

5. Augmented Reality Guided Laparoscopic Liver Resection: A Phantom Study With Intraparenchymal Tumors;Journal of Surgical Research;2024-04

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