Vessel-based brain-shift compensation using elastic registration driven by a patient-specific finite element model

During brain tumor surgery, planning and guidance are based on pre-operative images which do not account for brain-shift. However, this shift is a major source of error in neuro-navigation systems and affects the accuracy of the procedure. The vascular tree is extracted from pre-operative Magnetic Resonance Angiography and from intra-operative Doppler ultrasound images, which provides sparse information on brain deformations. The pre-operative images are then updated based on an elastic registration of the blood vessels, driven by a patient-specific biomechanical model. This biomechanical model is used to extrapolate the deformation to the surrounding soft tissues. Quantitative results on a single surgical case are provided, with an evaluation of the execution time for each processing step. Our method is proved to be efficient to compensate for brain deformation while being compatible with a surgical process.

[1]  Michael I. Miga,et al.  Clinical evaluation of a model-updated image-guidance approach to brain shift compensation: experience in 16 cases , 2016, International Journal of Computer Assisted Radiology and Surgery.

[2]  D. Louis Collins,et al.  Deformable registration of preoperative MR, pre-resection ultrasound, and post-resection ultrasound images of neurosurgery , 2015, International Journal of Computer Assisted Radiology and Surgery.

[3]  K. Miller,et al.  On the unimportance of constitutive models in computing brain deformation for image-guided surgery , 2009, Biomechanics and modeling in mechanobiology.

[4]  K. Paulsen,et al.  Cortical Surface Tracking Using a Stereoscopic Operating Microscope , 2005, Neurosurgery.

[5]  Karol Miller,et al.  Patient-specific model of brain deformation: application to medical image registration. , 2007, Journal of biomechanics.

[6]  Christian Duriez,et al.  Real-time simulation of contact and cutting of heterogeneous soft-tissues , 2014, Medical Image Anal..

[7]  Leonard McMillan,et al.  Stable real-time deformations , 2002, SCA '02.

[8]  Utkarsh Ayachit,et al.  The ParaView Guide: A Parallel Visualization Application , 2015 .

[9]  Yohan Payan,et al.  In vivo measurement of human brain elasticity using a light aspiration device , 2009, Medical Image Anal..

[10]  Simon K. Warfield,et al.  Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI , 2012, Int. J. Biomed. Imaging.

[11]  F. Lindseth,et al.  Intra-operative correction of brain-shift , 2014, Acta Neurochirurgica.

[12]  Erlend Fagertun Hofstad,et al.  CustusX: an open-source research platform for image-guided therapy , 2015, International Journal of Computer Assisted Radiology and Surgery.

[13]  Stephen M Smith,et al.  Fast robust automated brain extraction , 2002, Human brain mapping.

[14]  C. Nimsky,et al.  Quantification of, Visualization of, and Compensation for Brain Shift Using Intraoperative Magnetic Resonance Imaging , 2000, Neurosurgery.

[15]  Maxime Descoteaux,et al.  Validation of vessel-based registration for correction of brain shift , 2007, Medical Image Anal..

[16]  Stephane Cotin,et al.  Constraint-Based Simulation for Non-Rigid Real-Time Registration , 2014, MMVR.

[17]  D. Louis Collins,et al.  Clinical validation of vessel-based registration for correction of brain-shift , 2007, Medical Image Anal..

[18]  Y. Payan,et al.  Doppler Ultrasound Driven Biomechanical Model of the Brain for Intraoperative Brain-Shift Compensation: A Proof of Concept in Clinical Conditions , 2012 .

[19]  Karol Miller,et al.  On the prospect of patient-specific biomechanics without patient-specific properties of tissues. , 2013, Journal of the mechanical behavior of biomedical materials.

[20]  J. Winn,et al.  Brain , 1878, The Lancet.

[21]  Zhengrong Liang,et al.  Automatic centerline extraction for virtual colonoscopy , 2002, IEEE Transactions on Medical Imaging.

[22]  Haiying Liu,et al.  Constructing Patient Specific Models for Correcting Intraoperative Brain Deformation , 2001, MICCAI.

[23]  Benoit M. Dawant,et al.  Intraoperative Brain Shift Compensation: Accounting for Dural Septa , 2011, IEEE Transactions on Biomedical Engineering.

[24]  Guido Gerig,et al.  User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.

[25]  Y Payan,et al.  Rest shape computation for highly deformable model of brain , 2015, Computer methods in biomechanics and biomedical engineering.