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Proceedings Paper

Image updating for brain deformation compensation: cross-validation with intraoperative ultrasound
Author(s): Xiaoyao Fan; David W. Roberts; Jonathan D. Olson; Chen Li; Keith D. Paulsen
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Paper Abstract

Intraoperative image guidance using preoperative MR images (pMR) is widely used in neurosurgery, but the accuracy can be compromised by brain deformation as soon as the dura is open. Biomechanical finite element models (FEM) have been developed to compensate for brain deformation that occurs at different surgical stages. Intraoperative sparse data extracted from the exposed cortical surface and/or from deeper brain is used to drive the FEM model to compute wholebrain deformation field and produce model-updated MR (uMR) that matches the surgical scene. In previous studies, we quantified the accuracy using model-data misfit (i.e., the root-mean-square error between model estimates and sparse data), as well as target registration errors (TRE) of surface features (such as vessel junctions), and showed that the accuracy on the cortical surface was ~1-2 mm. However, the accuracy in deeper brain has not been investigated, as it is challenging to obtain subsurface features during surgery for accuracy assessment. In this study, we used intraoperative stereovision (iSV) to extract sparse data, which was employed to drive the FEM model and produce uMR, and acquired co-registered intraoperative ultrasound images (iUS) at different surgical stages in 2 cases for cross validation. We quantify model-data misfit, and compare model updated MR with iUS for qualitative assessment of accuracy in deeper brain. The results show that the model-data misfit was 2.39 and 0.64 mm, respectively, for the 2 cases reported, and uMR aligned well with both iSV and iUS, indicating a good accuracy both on the surface and in deeper brain.

Paper Details

Date Published: 13 March 2018
PDF: 7 pages
Proc. SPIE 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, 105760S (13 March 2018); doi: 10.1117/12.2293724
Show Author Affiliations
Xiaoyao Fan, Thayer School of Engineering at Dartmouth (United States)
David W. Roberts, Thayer School of Engineering, Geisel School of Medicine, Dartmouth College (United States)
Dartmouth Hitchcock Medical Ctr. (United States)
Norris Cotton Cancer Ctr. (United States)
Jonathan D. Olson, Thayer School of Engineering at Dartmouth (United States)
Chen Li, Thayer School of Engineering at Dartmouth (United States)
Keith D. Paulsen, Thayer School of Engineering, Geisel School of Medicine, Dartmouth College (United States)
Norris Cotton Cancer Ctr. (United States)
Dartmouth-Hitchcock Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 10576:
Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling
Baowei Fei; Robert J. Webster III, Editor(s)

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