@inproceedings{1513e9cdedbb4dc9bf1fb0272b1fbfc3,
title = "Towards a clinical stereoscopic augmented reality system for laparoscopic surgery",
abstract = "We describe our development of a complete real-time stereoscopic augmented reality system that overlays laparoscopic ultrasound (LUS) images on stereoscopic laparoscopic video for conventional laparoscopic surgery. The system was designed and developed to achieve near-term clinical evaluation as a primary goal. Special consideration was paid to system interactivity, accuracy and easy integration within the existing clinical workflow. Custom-designed fixtures for the two imaging devices were created to avoid their recalibration in the operating room and thus to minimize setup time. The system was assembled on a rolling cart to make it portable for the use in the operating room. Utilizing our optimized design and hardware-accelerated implementation, the system achieved a low system latency of approximately 150 ms. The LUS image-to-video registration accuracy, measured in terms of target registration accuracy and recorded separately for the left and right eye channels of the stereoscopic camera, was 3.34±0.59 mm and 2.76±0.68 mm.",
keywords = "Clinical prototype, Laparoscopic surgery, Real-time AR, Stereoscopic augmented reality (AR)",
author = "Xin Kang and Jihun Oh and Emmanuel Wilson and Ziv Yaniv and Kane, {Timothy D.} and Peters, {Craig A} and Raj Shekhar",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-3-319-05666-1_14",
language = "English (US)",
isbn = "9783319056654",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "108--116",
booktitle = "Clinical Image-Based Procedures",
note = "2nd International Workshop on Clinical Image-Based Procedures: Translational Research in Medical Imaging, CLIP 2013 - Held in Conjunction with MICCAI 2013 ; Conference date: 22-09-2013 Through 22-09-2013",
}