A skull stripping method using deformable surface and tissue classification

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7623, Issue PART 1, 2010, Pages

  Tao, Xiaodong ^a   Chang, Ming Ching ^a  

^a GE GLOBAL RESEARCH   (United States)

Author keywords

Deformable Surface Model; Magnetic Resonance Imaging; Skull Stripping; Tissue Classification

Indexed keywords

BIAS FIELD; BRAIN EXTRACTION TOOLS; BRAIN STEM; BRAIN TISSUE; CEREBRO SPINAL FLUIDS; DEFORMABLE SURFACE MODELS; DEFORMABLE SURFACES; FORCE FIELDS; GRAY MATTER; IMAGING CONTRAST; MAGNETIC RESONANCE IMAGES; NEURO-IMAGING; SKULL STRIPPING; STANDARD DEVIATION; SURFACE SMOOTHNESS; TISSUE CLASSIFICATION; WHITE MATTER;

ALGORITHMS; BODY FLUIDS; BRAIN; DEFORMATION; IMAGE PROCESSING; IMAGING SYSTEMS; MEDICAL IMAGING; MEMBERSHIP FUNCTIONS; RESONANCE; TISSUE;

MAGNETIC RESONANCE IMAGING;

EID: 79751509835     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.844061     Document Type: Conference Paper

References (17)

1. Han, X., Pham, D., Tosun, D., Rettmann, M., Xu, C., and Prince, J., "CRUISE: Cortical Reconstruction Using Implicit Surface Evolution," NeuroImage 23(3), 997-1012 (2004).
2. Dickerson, B., Feczko, E., Augustinack, J., Pacheco, J., Morris, J., Fischl, B., and Buckner, R., "Differential effects of aging and Alzheimer's disease on medial temporal lobe cortical thickness and surface area," Neurobiology of Aging 30(3), 432-440 (2009).
3. Smith, S., De Stefano, N., Jenkinson, M., and Matthews, P., "Normalized accurate measurement of longitudinal brain change," Journal of computer assisted tomography 25(3), 466 (2001).
4. Kovalev, D., Spreer, J., Honegger, J., Zentner, J., Schulze-Bonhage, A., and Huppertz, H., "Rapid and fully automated visualization of subdural electrodes in the presurgical evaluation of epilepsy patients," American Journal of Neuroradiology 26(5), 1078 (2005).
5. Admiraal-Behloul, F., Van Den Heuvel, D., Olofsen, H., van Osch, M., van der Grond, J., Van Buchem, M., and Reiber, J., "Fully automatic segmentation of white matter hyperintensities in MR images of the elderly," Neuroimage 28(3), 607-617 (2005).
6. Lao, Z., Shen, D., Liu, D., Jawad, A., Melhem, E., Launer, L., Bryan, R., and Davatzikos, C., "Computer-Assisted Segmentation of White Matter Lesions in 3D MR images, Using Support Vector Machine," Academic radiology 15(3), 300 (2008).
7. Fennema-Notestine, C., Ozyurt, I., Clark, C., Morris, S., Bischoff-Grethe, A., Bondi, M., Jernigan, T., Fischl, B., Segonne, F., Shattuck, D., et al., "Quantitative Evaluation of Automated Skull-Stripping Methods Applied to Contemporary and Legacy Images: Effects of Diagnosis, Bias Correction, and Slice Location," Human brain mapping 27(2), 99 (2006).
8. Smith, S., "Fast Robust Automated Brain Extraction," Human Brain Mapping 17(3) (2002).
9. Goldszal, A., Davatzikos, C., Pham, D., Yan, M., Bryan, R., and Resnick, S., "An Image-Processing System for Qualitative and Quantitative Volumetric Analysis of Brain Images," Journal of Computer Assisted Tomography 22(5), 827 (1998).
10. Chiverton, J., Wells, K., Lewis, E., Chen, C., Podda, B., and Johnson, D., "Statistical Morphological Skull Stripping of Adult and Infant MRI Data," Computers in Biology and Medicine 37(3), 342-357 (2007).
11. Dale, A., Fischl, B., and Sereno, M., "Cortical Surface-Based Analysis: I. Segmentation and Surface Reconstruction," Neuroimage 9(2), 179-194 (1999).
12. Segonne, F., Dale, A., Busa, E., Glessner, M., Salat, D., Hahn, H., and Fischl, B., "A Hybrid Approach to the Skull Stripping Problem in MRI," Neuroimage 22(3), 1060-1075 (2004).
13. Carass, A., Wheeler, M., Cuzzocreo, J., Bazin, P., Bassett, S., and Prince, J., "A Joint Registration and Segmentation Approach to Skull Stripping," in [4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI),], 656-659 (2007).
14. Chang, M.-C. and Tao, X., "Subvoxel Segmentation and Representation of Brain Cortex Using Fuzzy Clustering and Gradient Vector Diffusion," in [SPIE Medical Imaging, Proceedings of SPIE Volume 7623], (2010).
15. Pham, D. L. and Prince, J. L., "Adaptive fuzzy segmentation of magnetic resonance images," IEEE Trans. on Medical Imaging 18(9), 737-752 (1999).
16. Bezdek, J., "A convergence theorem for the fuzzy ISODATA clustering algorithms," IEEE Transactions on Pattern Analysis and Machine Intelligence 2(1), 1-8 (1980).
17. Marcus, D., Wang, T., Parker, J., Csernansky, J., Morris, J., and Buckner, R., "Open Access Series of Imaging Studies (OASIS): Cross-Sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults," Journal of Cognitive Neuroscience 19(9), 1498-1507 (2007).