A JOINT REGISTRATION AND SEGMENTATION APPROACH TO SKULL STRIPPING

Extraction of the cerebrum, cerebellum, and brain stem from structural magnetic resonances images (MRIs) is an important initial step in neuroimaging. We present an automated algorithm that solves this difficult problem, often referred to as skull stripping, which is novel for its use of registration, segmentation, and morphological operations. Our algorithm is also concerned with an accurate representation of the grey matter boundary, which is a unique feature. We also present results demonstrating the accuracy of this approach

[1]  Heinz-Otto Peitgen,et al.  The Skull Stripping Problem in MRI Solved by a Single 3D Watershed Transform , 2000, MICCAI.

[2]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[3]  S. Resnick,et al.  An image-processing system for qualitative and quantitative volumetric analysis of brain images. , 1998, Journal of computer assisted tomography.

[4]  Jung-Hyun Kim,et al.  Evaluation of automated and semi-automated skull-stripping algorithms using similarity index and segmentation error , 2003, Comput. Biol. Medicine.

[5]  Anders M. Dale,et al.  Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.

[6]  Arthur W. Toga,et al.  A meta-algorithm for brain extraction in MRI , 2004, NeuroImage.

[7]  W. Eric L. Grimson,et al.  Segmentation of brain tissue from magnetic resonance images , 1995, Medical Image Anal..

[8]  Dzung L. Pham,et al.  Robust fuzzy segmentation of magnetic resonance images , 2001, Proceedings 14th IEEE Symposium on Computer-Based Medical Systems. CBMS 2001.

[9]  Dinggang Shen,et al.  COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements , 2007, IEEE Transactions on Medical Imaging.

[10]  Benoit M. Dawant,et al.  The adaptive bases algorithm for intensity-based nonrigid image registration , 2003, IEEE Transactions on Medical Imaging.

[11]  B. Caffo,et al.  Familial risk for Alzheimer's disease alters fMRI activation patterns. , 2006, Brain : a journal of neurology.

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

[13]  Gregory G. Brown,et al.  Quantitative evaluation of automated skull‐stripping methods applied to contemporary and legacy images: Effects of diagnosis, bias correction, and slice location , 2006, Human brain mapping.

[14]  Anders M. Dale,et al.  A hybrid approach to the Skull Stripping problem in MRI , 2001, NeuroImage.