Publications

@article{Ong2016,
title = {A novel method for texture-mapping conoscopic surfaces for minimally invasive image-guided kidney surgery},
author = {Rowena Ong and Courtenay L Glisson and Jessica Burgner-Kahrs and Amber Simpson and Andrei Danilchenko and Ray Lathrop and Duke S Herrell and Robert J Webster and Michael Miga and Robert L Galloway},
doi = {10.1007/s11548-015-1339-2},
year = {2016},
date = {2016-01-01},
journal = {International Journal of Computer Assisted Radiology and Surgery},
volume = {11},
number = {8},
pages = {1515--1526},
keywords = {Conoscopic holography, minimally-invasive surgery},
pubstate = {published},
tppubtype = {article}
}

@article{Burgner2013b,
title = {A study on the theoretical and practical accuracy of conoscopic holography-based surface measurements: Toward image registration in minimally invasive surgery},
author = {Jessica Burgner and Amber L Simpson and Michael J Fitzpatrick and Ray A Lathrop and Duke S Herrell and Michael I Miga and Robert J {Webster III}},
doi = {10.1002/rcs.1446},
year = {2013},
date = {2013-01-01},
journal = {International Journal of Medical Robotics and Computer Assisted Surgery},
volume = {9},
number = {2},
pages = {190--203},
abstract = {Background Registered medical images can assist with surgical navigation and enable image-guided therapy delivery. In soft tissues, surface-based registration is often used and can be facilitated by laser surface scanning. Tracked conoscopic holography (which provides distance measurements) has been recently proposed as a minimally invasive way to obtain surface scans. Moving this technique from concept to clinical use requires a rigorous accuracy evaluation, which is the purpose of our paper. Methods We adapt recent non-homogeneous and anisotropic point-based registration results to provide a theoretical framework for predicting the accuracy of tracked distance measurement systems. Experiments are conducted a complex objects of defined geometry, an anthropomorphic kidney phantom and a human cadaver kidney. Results Experiments agree with model predictions, producing point RMS errors consistently<1 mm, surface-based registration with mean closest point error<1 mm in the phantom and a RMS target registration error of 0.8 mm in the human cadaver kidney. Conclusions Tracked conoscopic holography is clinically viable; it enables minimally invasive surface scan accuracy comparable to current clinical methods that require open surgery. Copyright (c) 2012 John Wiley & Sons, Ltd.},
keywords = {Accuracy, Conoscopic holography, image-guided surgery, Registration, Surface measurement},
pubstate = {published},
tppubtype = {article}
}