Method for evaluation of predictive models of microwave ablation via post-procedural clinical imaging Conference Paper
| Authors: | Collins, J.; Brown, D.; Kingham, T. P.; Jarnagin, W. R.; Miga, M. I.; Clements, L. W. |
| Title: | Method for evaluation of predictive models of microwave ablation via post-procedural clinical imaging |
| Conference Title: | Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling |
| Abstract: | Development of a clinically accurate predictive model of microwave ablation (MWA) procedures would represent a significant advancement and facilitate an implementation of patient-specific treatment planning to achieve optimal probe placement and ablation outcomes. While studies have been performed to evaluate predictive models of MWA, the ability to quantify the performance of predictive models via clinical data has been limited to comparing geometric measurements of the predicted and actual ablation zones. The accuracy of placement, as determined by the degree of spatial overlap between ablation zones, has not been achieved. In order to overcome this limitation, a method of evaluation is proposed where the actual location of the MWA antenna is tracked and recorded during the procedure via a surgical navigation system. Predictive models of the MWA are then computed using the known position of the antenna within the preoperative image space. Two different predictive MWA models were used for the preliminary evaluation of the proposed method: (1) a geometric model based on the labeling associated with the ablation antenna and (2) a 3-D finite element method based computational model of MWA using COMSOL. Given the follow-up tomographic images that are acquired at approximately 30 days after the procedure, a 3-D surface model of the necrotic zone was generated to represent the true ablation zone. A quantification of the overlap between the predicted ablation zones and the true ablation zone was performed after a rigid registration was computed between the pre- and post-procedural tomograms. While both model show significant overlap with the true ablation zone, these preliminary results suggest a slightly higher degree of overlap with the geometric model. © 2015 SPIE. |
| Keywords: | medical imaging; tomography; geometry; robotics; patient treatment; surgical equipment; microwaves; predictive modeling; models; modeling; ablation; predictive; hepatic; finite element method; microwave; computational model; navigation systems; surgical navigation systems; antennas; 3-d finite element method; geometric measurements; preoperative images |
| 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: | 94152F |
| Language: | English |
| DOI: | 10.1117/12.2082910 |
| 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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