Atlas-based method for model updating in image-guided liver surgery

Logan W. Clements; Prashanth Dumpuri; William C. Chapman M.D.; Robert L. Galloway; Michael I. Miga

doi:10.1117/12.710496

22 March 2007 Atlas-based method for model updating in image-guided liver surgery

Logan W. Clements, Prashanth Dumpuri, William C. Chapman M.D., Robert L. Galloway, Michael I. Miga

Proceedings Volume 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures; 650917 (2007) https://doi.org/10.1117/12.710496
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Similar to the well documented brain shift experienced during neurosurgical procedures, intra-operative soft tissue deformation in open hepatic resections is the primary source of error in current image-guided liver surgery (IGLS) systems. The use of bio-mechanical models has shown promise in providing the link between the deformed, intra-operative patient anatomy and the pre-operative image data. More specifically, the current protocol for deformation compensation in IGLS involves the determination of displacements via registration of intra-operatively acquired sparse data and subsequent use of the displacements to drive solution of a linear elastic model via the finite element method (FEM). However, direct solution of the model during the surgical procedure has several logistical limitations including computational time and the ability to accurately prescribe boundary conditions and material properties. Recently, approaches utilizing an atlas of pre-operatively computed model solutions based on a priori information concerning the surgical loading conditions have been proposed as a more realistic avenue for intra-operative deformation compensation. Similar to previous work, we propose the use of a simple linear inverse model to match the intra-operatively acquired data to the pre-operatively computed atlas. Additionally, an iterative approach is implemented whereby point correspondence is updated during the matching process, being that the correspondence between intra-operative data and the pre-operatively computed atlas is not explicitly known in liver applications. Preliminary validation experiments of the proposed algorithm were performed using both simulation and phantom data. The proposed method provided comparable results in the phantom experiments with those obtained using the traditional incremental FEM approach.

Citation Download Citation

Logan W. Clements, Prashanth Dumpuri, William C. Chapman M.D., Robert L. Galloway, and Michael I. Miga "Atlas-based method for model updating in image-guided liver surgery", Proc. SPIE 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures, 650917 (22 March 2007); https://doi.org/10.1117/12.710496

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