Work

Application of single-image camera calibration for ultrasound augmented laparoscopic visualization

Year: 2015

Type: conference-paper

Abstract: laparoscopes obtained using rdCalib and the well-accepted OpenCV camera calibration method were compared. Target registration error (TRE) as a measure of camera calibration accuracy for our optical tracking-based AR system was also compared between the two calibration methods. Based on our experiments, the single-image camera calibration yields consistent and accurate results (mean TRE = 1.18 ± 0.35 mm for the 5-mm scope and mean TRE = 1.13 ± 0.32 mm for the 10-mm scope), which are comparable to the results obtained using the OpenCV method with 30 images. The new single-image camera calibration method is promising to be applied to our augmented reality visualization system for laparoscopic surgery.

Source: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

DOI: 10.1117/12.2082194

Authors: Xinyang Liu, He Su, Sukryool Kang, Timothy D. Kane, Raj Shekhar

Institutions: Children's National, Sheikh Zayed Institute for Pediatric Surgical Innovation, Tianjin University

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute

Awards: Clinical Translation of Augmented Reality Visualization for Laparoscopic Surgery, Clinical Translation of Augmented Reality Visualization for Laparoscopic Surgery