Contour Models for Descriptive Patient-Specific Neuro-Anatomical Modeling: Towards a Digital Brainstem Atlas

This paper describes on-going work on the transposition to digital format of 2D images of a printed atlas of the brainstem. In MRI-based anatomical modeling for neurosurgery planning and simulation, the complexity of the functional anatomy entails a digital atlas approach, rather than less descriptive voxel or surface-based approaches. However, there is an insufficiency of descriptive digital atlases, in particular of the brainstem. Our approach proceeds from a series of numbered, contour-based sketches coinciding with slices of the brainstem featuring both closed and open contours. The closed contours coincide with functionally relevant regions, in which case our objective is to fill in each corresponding label, which is analogous to painting numbered regions in a paint-by-numbers kit. The open contours typically coincide with cranial nerve tracts as well as symbols representing the medullary pyramids. This 2D phase is needed in order to produce densely labeled regions that can be stacked to produce 3D regions, as well as identifying embedded paths and outer attachment points of cranial nerves. In future work, the stacked labeled regions will be resampled and refined probabilistically, through active contour and surface modeling based on MRI T1, T2 and tractographic data. The relevance to spine modeling of this project is two-fold: (i) this atlas will fill a void left by the spine and brain segmentation communities, as no digital atlas of the brainstem exist, and (ii) this atlas is necessary to make explicit the attachment points of major nerves having both cranial and spinal origin, specifically nerves X and XI, as well all the attachment points of cranial nerves other than I and II.

[1]  Douglas E. Dow,et al.  Atlas-based system for functional neurosurgery , 1997, Medical Imaging.

[2]  N. Roundy,et al.  Preoperative identification of the facial nerve in patients with large cerebellopontine angle tumors using high-density diffusion tensor imaging. , 2012, Journal of neurosurgery.

[3]  Jonathan D. Carlson,et al.  Gamma Knife Treatment of Brainstem Metastases , 2014, International journal of molecular sciences.

[4]  Laurent D. Cohen,et al.  Global Minimum for Active Contour Models: A Minimal Path Approach , 1997, International Journal of Computer Vision.

[5]  J A Sethian,et al.  A fast marching level set method for monotonically advancing fronts. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[6]  Alejandro F. Frangi,et al.  Muliscale Vessel Enhancement Filtering , 1998, MICCAI.

[7]  Piero Nicolai,et al.  The spinal accessory nerve in head and neck surgery , 2007, Current opinion in otolaryngology & head and neck surgery.

[8]  D. Buchholz,et al.  Oropharyngeal dysphagia due to iatrogenic neurological dysfunction , 2004, Dysphagia.

[9]  A. Dale,et al.  Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.

[10]  R Shane Tubbs,et al.  A comprehensive review with potential significance during skull base and neck operations, Part II: Glossopharyngeal, vagus, accessory, and hypoglossal nerves and cervical spinal nerves 1–4 , 2014, Clinical anatomy.

[11]  C. Essen,et al.  Indirect injury to cranial nerves after surgery with Cavitron ultrasonic surgical aspirator (CUSA). Case report , 2005, Acta Neurochirurgica.

[12]  S. Kollias,et al.  Duvernoy's Atlas of the Human Brain Stem and Cerebellum , 2009, American Journal of Neuroradiology.

[13]  A. Ragin,et al.  Complications of transsphenoidal surgery: results of a national survey, review of the literature, and personal experience. , 1997, Neurosurgery.

[14]  Hervé Delingette,et al.  General Object Reconstruction Based on Simplex Meshes , 1999, International Journal of Computer Vision.

[15]  Ross T. Whitaker,et al.  Variable-conductance, level-set curvature for image denoising , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[16]  Guillermo Sapiro,et al.  Geodesic Active Contours , 1995, International Journal of Computer Vision.

[17]  L. Bigliani,et al.  Spinal accessory nerve injury. , 1999, Clinical orthopaedics and related research.

[18]  Riitta Hari,et al.  Diffusion tensor imaging and tractography of distal peripheral nerves at 3 T , 2005, Clinical Neurophysiology.

[19]  Nadia Magnenat-Thalmann,et al.  Medical image analysis , 1999, Medical Image Anal..

[20]  G. Paxinos,et al.  Atlas of the Human Brain , 2000 .

[21]  Anders M. Dale,et al.  An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.

[22]  Pablo Irarrazaval,et al.  Simplex Mesh Diffusion Snakes: Integrating 2D and 3D Deformable Models and Statistical Shape Knowledge in a Variational Framework , 2009, International Journal of Computer Vision.

[23]  P. Basser,et al.  In vivo fiber tractography using DT‐MRI data , 2000, Magnetic resonance in medicine.