Validation of model-based deformation correction in image-guided liver surgery via tracked intraoperative ultrasound: Preliminary method and results Conference Paper
| Authors: | Clements, L. W.; Collins, J. A.; Wu, Y.; Simpson, A. L.; Jarnagin, W. R.; Miga, M. I. |
| Title: | Validation of model-based deformation correction in image-guided liver surgery via tracked intraoperative ultrasound: Preliminary method and results |
| Conference Title: | Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling |
| Abstract: | Soft tissue deformation represents a significant error source in current surgical navigation systems used for open hepatic procedures. While numerous algorithms have been proposed to rectify the tissue deformation that is encountered during open liver surgery, clinical validation of the proposed methods has been limited to surface based metrics and sub-surface validation has largely been performed via phantom experiments. Tracked intraoperative ultrasound (iUS) provides a means to digitize sub-surface anatomical landmarks during clinical procedures. The proposed method involves the validation of a deformation correction algorithm for open hepatic image-guided surgery systems via sub-surface targets digitized with tracked iUS. Intraoperative surface digitizations were acquired via a laser range scanner and an optically tracked stylus for the purposes of computing the physical-to-image space registration within the guidance system and for use in retrospective deformation correction. Upon completion of surface digitization, the organ was interrogated with a tracked iUS transducer where the iUS images and corresponding tracked locations were recorded. After the procedure, the clinician reviewed the iUS images to delineate contours of anatomical target features for use in the validation procedure. Mean closest point distances between the feature contours delineated in the iUS images and corresponding 3-D anatomical model generated from the preoperative tomograms were computed to quantify the extent to which the deformation correction algorithm improved registration accuracy. The preliminary results for two patients indicate that the deformation correction method resulted in a reduction in target error of approximately 50%. © 2015 SPIE. |
| Keywords: | algorithms; medical imaging; surgery; liver surgery; robotics; surgical equipment; tissue; deformation; ultrasonics; three dimensional computer graphics; image-guided surgery; image guided surgery; soft tissue deformation; tracked ultrasound; clinical validation; biomechanical modeling; open liver surgery; navigation systems; patient rehabilitation; bio-mechanical models; clinical validations |
| Journal Title | Proceedings of SPIE |
| Volume: | 9415 |
| Conference Dates: | 2015 Feb 22-24 |
| Conference Location: | Orlando, FL |
| ISBN: | 0277-786X |
| Publisher: | SPIE |
| Date Published: | 2015-03-18 |
| Start Page: | 94150T |
| Language: | English |
| DOI: | 10.1117/12.2082940 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Progr. Biomed. Opt. Imaging Proc. SPIE -- Conference code: 112274 -- Export Date: 2 November 2015 -- ALIO Industries; Alpinion Medical Systems; Bruker; et al.; Modus Medical Devices Inc.; The Society of Photo-Optical Instrumentation Engineers (SPIE) -- 22 February 2015 through 24 February 2015 -- Source: Scopus |
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