
Publications
2016 |
|
Ong, Rowena; Glisson, Courtenay L; Burgner-Kahrs, Jessica; Simpson, Amber; Danilchenko, Andrei; Lathrop, Ray; Herrell, Duke S; Webster, Robert J; Miga, Michael; Galloway, Robert L A novel method for texture-mapping conoscopic surfaces for minimally invasive image-guided kidney surgery Journal Article International Journal of Computer Assisted Radiology and Surgery, 11 (8), pp. 1515–1526, 2016. Links | BibTeX | Tags: Conoscopic holography, minimally-invasive surgery @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} } | |
2013 |
|
Burgner, Jessica; Simpson, Amber L; Fitzpatrick, Michael J; Lathrop, Ray A; Herrell, Duke S; Miga, Michael I; Webster III, Robert J International Journal of Medical Robotics and Computer Assisted Surgery, 9 (2), pp. 190–203, 2013. Abstract | Links | BibTeX | Tags: Accuracy, Conoscopic holography, image-guided surgery, Registration, Surface measurement @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} } 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. |