Registration of 2D monocular endoscopy to 3D CBCT for video-assisted thoracoscopic surgery - Archive ouverte HAL Access content directly
Conference Papers Year : 2023

Registration of 2D monocular endoscopy to 3D CBCT for video-assisted thoracoscopic surgery

Abstract

Cone-Beam CT (CBCT) is a valuable imaging modality for the intraoperative localization of pulmonary nodules during Video-Assisted Thoracoscopic Surgery (VATS). However, inferring the nodule position from the CBCT to the operative field remains challenging and could greatly benefit from computer-aided guiding. As a first step towards an Augmented Endoscopy guiding system, we propose to register 2D monocular endoscopic views into the 3D CBCT space. Ribs and wound protectors are segmented in both imaging modalities, then registered using an image-to-cloud Iterative Closest Point variant. The method is evaluated qualitatively on clinical VATS video sequences from 3 patients. The promising results validate this first step towards a seamless monocular VATS navigation.
Fichier principal
Vignette du fichier
SPIE_MI23_12466-83.pdf (13.65 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-04064754 , version 1 (11-04-2023)

Identifiers

Cite

Baptiste Noblet, Matthieu Chabanas, Simon Rouzé, Sandrine Voros. Registration of 2D monocular endoscopy to 3D CBCT for video-assisted thoracoscopic surgery. SPIE Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, SPIE, Feb 2023, San Diego, CA, United States. pp.124662D.1-10, ⟨10.1117/12.2655786⟩. ⟨hal-04064754⟩
227 View
6 Download

Altmetric

Share

Gmail Facebook X LinkedIn More