Int J Comput Assist Radiol Surg - A framework for correcting brain retraction based on an eXtended Finite Element Method using a laser range scanner.

Tópicos

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Resumo

CKGROUND: 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.

Resumo Limpo

ckground brain retract caus great distort limit accuraci imageguid neurosurgeri system use preoper imag therefor brain retract correct import intraop clinic applicationmethod use linear elast biomechan model deform base extend finit element method xfem within framework brain retract correct particular laser rang scanner introduc obtain surfac point cloud expos surgic field includ retractor insert brain brain retract surfac track algorithm convert point cloud boundari condit appli xfem model drive brain deform test framework perform brain phantom experi involv retract tissu pair modifi hausdorff distanc canni edg extract modelupd imag preretract postretract ct imag compar evalu morpholog align framework furthermor measur displac bead embed brain phantom predict one compar evalu numer performanceresult modifi hausdorff distanc pair imag decreas mm forecast error stainless steel bead phantom mm mean mm correct accuraci vari mean conclus result demonstr brain retract compens can incorpor intraop modelupd process imageguid neurosurgeri system

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