@inproceedings{3f4b536b0a7e420999829e30070a6e3d,
title = "An Interactive Mixed Reality Platform for Bedside Surgical Procedures",
abstract = "In many bedside procedures, surgeons must rely on their spatiotemporal reasoning to estimate the position of an internal target by manually measuring external anatomical landmarks. One particular example that is performed frequently in neurosurgery is ventriculostomy, where the surgeon inserts a catheter into the patient{\textquoteright}s skull to divert the cerebrospinal fluid and alleviate the intracranial pressure. However, about one-third of the insertions miss the target. We, therefore, assembled a team of engineers and neurosurgeons to develop an interactive surgical navigation system using mixed reality on a head-mounted display that overlays the target, identified in preoperative images, directly on the patient{\textquoteright}s anatomy and provides visual guidance for the surgeon to insert the catheter on the correct path to the target. We conducted a user study to evaluate the improvement in the accuracy and precision of the insertions with mixed reality as well as the usability of our navigation system. The results indicate that using mixed reality improves the accuracy by over 35% and that the system ranks high based on the usability score.",
keywords = "Augmented reality, Neurosurgery, Surgical navigation",
author = "Ehsan Azimi and Zhiyuan Niu and Maia Stiber and Nicholas Greene and Ruby Liu and Camilo Molina and Judy Huang and Huang, {Chien Ming} and Peter Kazanzides",
note = "Funding Information: Acknowledgments. The authors thank Sam Kamran, Adarsh Malapaka, and Nikhil Dave for their help in preparing the skull phantom and Kai Ding for the CT scan. Ehsan Azimi is supported by the Link Foundation fellowship. Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020 ; Conference date: 04-10-2020 Through 08-10-2020",
year = "2020",
doi = "10.1007/978-3-030-59716-0_7",
language = "English (US)",
isbn = "9783030597153",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "65--75",
editor = "Martel, {Anne L.} and Purang Abolmaesumi and Danail Stoyanov and Diana Mateus and Zuluaga, {Maria A.} and Zhou, {S. Kevin} and Daniel Racoceanu and Leo Joskowicz",
booktitle = "Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings",
address = "Germany",
}