Model-updated image-guided liver surgery: preliminary results using intra-operative surface characterization

Prashanth Dumpuri; Logan W. Clements; Benoit M. Dawant; Michael I. Miga

doi:10.1117/12.844290

3 March 2010 Model-updated image-guided liver surgery: preliminary results using intra-operative surface characterization

Prashanth Dumpuri, Logan W. Clements, Benoit M. Dawant, Michael I. Miga

Author Affiliations +

Proceedings Volume 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling; 76251H (2010) https://doi.org/10.1117/12.844290
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

The current protocol for image-guidance in liver surgeries involves rigid registration algorithm. Systematic studies have shown that the liver can deform up to 2cms during surgeries thereby compromising the accuracy of the surgical navigation systems. Compensating for intraoperative deformations using computational models has shown promising results. In this work, we follow up the initial rigid registration with a computational approach. The proposed computational approach relies on the closest point distances between the undeformed pre-operative surface and the rigidly registered deformed intra-operative surface. We also introduce a spatial smoothing filter to generate a realistic deformation field using the closest point distances. The proposed approach was validated in both phantom experiments and clinical cases. Preliminary results are encouraging and suggest that computational models can be used to improve the accuracy of image-guided liver surgeries.

Citation Download Citation

Prashanth Dumpuri, Logan W. Clements, Benoit M. Dawant, and Michael I. Miga "Model-updated image-guided liver surgery: preliminary results using intra-operative surface characterization", Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 76251H (3 March 2010); https://doi.org/10.1117/12.844290

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available