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International Journal of Computer Assisted Radiology and Surgery

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Open Access 01-07-2014 | Original Article

A framework for correcting brain retraction based on an eXtended Finite Element Method using a laser range scanner

Authors: Ping Li, Weiwei Wang, Zhijian Song, Yong An, Chenxi Zhang

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 4/2014

Abstract

Background

Brain retraction causes great distortion that limits the accuracy of an image-guided neurosurgery system that uses preoperative images. Therefore, brain retraction correction is an important intraoperative clinical application.

Methods

We used a linear elastic biomechanical model, which deforms based on the eXtended Finite Element Method (XFEM) within a framework for brain retraction correction. In particular, a laser range scanner was introduced to obtain a surface point cloud of the exposed surgical field including retractors inserted into the brain. A brain retraction surface tracking algorithm converted these point clouds into boundary conditions applied to XFEM modeling that drive brain deformation. To test the framework, we performed a brain phantom experiment involving the retraction of tissue. Pairs of the modified Hausdorff distance between Canny edges extracted from model-updated images, pre-retraction, and post-retraction CT images were compared to evaluate the morphological alignment of our framework. Furthermore, the measured displacements of beads embedded in the brain phantom and the predicted ones were compared to evaluate numerical performance.

Results

The modified Hausdorff distance of 19 pairs of images decreased from 1.10 to 0.76 mm. The forecast error of 23 stainless steel beads in the phantom was between 0 and 1.73 mm (mean 1.19 mm). The correction accuracy varied between 52.8 and 100 % (mean 81.4 %).

Conclusions

The results demonstrate that the brain retraction compensation can be incorporated intraoperatively into the model-updating process in image-guided neurosurgery systems.

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Title: A framework for correcting brain retraction based on an eXtended Finite Element Method using a laser range scanner
Authors: Ping Li
Weiwei Wang
Zhijian Song
Yong An
Chenxi Zhang
Publication date: 01-07-2014
Publisher: Springer Berlin Heidelberg
Published in: International Journal of Computer Assisted Radiology and Surgery / Issue 4/2014
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-013-0958-8

At a glance: The STEP trials

Springer Medicine

A framework for correcting brain retraction based on an eXtended Finite Element Method using a laser range scanner

Abstract

Background

Methods

Results

Conclusions

At a glance: The STEP trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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