A hybrid approach to brain extraction from premature infant MRI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6688 LNCS, Issue , 2011, Pages 719-730

  Péporté, Michèle ^a   Ilea Ghita, Dana E ^a   Twomey, Eilish ^b   Whelan, Paul F ^a  

^a DUBLIN CITY UNIVERSITY   (Ireland)

^b CHILDREN S UNIVERSITY HOSPITAL   (Ireland)

Author keywords

Brain Segmentation; Newborns MRI; Skull Stripping

Indexed keywords

BINARY MASKS; BRAIN EXTRACTION; BRAIN IMAGES; BRAIN SEGMENTATION; BRAIN TISSUE; HYBRID APPROACH; IMAGE ARTEFACTS; K-MEANS CLUSTERING; MORPHOLOGICAL OPERATOR; MULTIPLE THRESHOLD; NEWBORNS MRI; PREMATURE INFANTS; REGION GROWING; REGION OF INTEREST; SEGMENTED DATA; SKULL STRIPPING; STATE OF THE ART;

BRAIN; EDGE DETECTION; IMAGE ANALYSIS; IMAGE SEGMENTATION; MEDICAL IMAGING; STRIPPING (REMOVAL); TISSUE;

MAGNETIC RESONANCE IMAGING;

EID: 79957458724     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21227-7_67     Document Type: Conference Paper

References (28)

1. Babalola, K.O., Patenaude, B., Aljabar, P., Schnabel, J., Kennedy, D., Crum, W., Smith, S., Cootes, T., Jenkinson, M., Rueckert, D.: An evaluation of four automatic methods of segmenting the subcortical structures in the brain. NeuroImage 47, 1435-1447 (2009)
2. Balan, A.G.R., Traina, A.J.M., Ribeiro, M.X., Marques, P.M.A., Traina Jr., C.: Head: The Human Encephalon Automatic Delimiter. In: CBMS 2007: Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems, pp. 171-176. IEEE Computer Society Press, Washington, DC, USA (2007)
3. Boesen, K., Rehm, K., Shaper, K., Stoltzner, S., Lueders, E., Rottenberg, D.: Quantitative comparison of four brain extraction algorithms. NeuroImage 22, 1255-1261 (2004)
4. Chiverton, J., Wells, K., Lewis, E., Chen, C., Podda, B., Johnson, D.: Statistical morphological skull stripping of adult and infant MRI data. Computers in Biology and Medicine 37, 342-357 (2007)
5. Crum, W.R., Rueckert, D., Jenkinson, M., Kennedy, D., Smith, S.M.: A framework for detailed objective comparison of non-rigid registration algorithms in neuroimaging. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3216, pp. 679-686. Springer, Heidelberg (2004)
6. Friston, K.J., Penny, W.: Posterior probability maps and SPMs. NeuroImage 19, 1240-1249 (2003)
7. Hahn, H.K., Peitgen, H.-O.: The skull stripping problem in MRI solved by a single 3D watershed transform. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds.) MICCAI 2000. LNCS, vol. 1935, pp. 134-143. Springer, Heidelberg (2000)
8. Harnsberger, H.R., Osborn, A.G., Ross, J., Macdonald, A.: Diagnostic and Surgical Imaging Anatomy: Brain, Head and Neck, Spine. Amirsys Inc. (2006)
9. Kobashi, S., Fujimoto, Y., Ogawa, M., Ando, K., Ishikura, R., Kondo, K., Hirota, S., Hata, Y.: Fuzzy-ASM Based Automated Skull Stripping Method from Infantile Brain MR Images. In: IEEE International Conference on Granular Computing, pp. 632-635 (2007)
10. Li, X.: CI, L., Wang, R., Li, J.: A Region Growing Method Based on Fuzzy Connectedness. In: ICALIP, pp. 993-997 (2008)
11. Marr, D., Hildreth, E.: Theory of edge detection. Proceedings of Royal Society of London 207(B), 187-217 (1980)
12. Mathur, A.M., Neil, J.J., Inder, T.E.: Understanding Brain Injury and Neurodevelopment Disabilities in the Premature Infant: The Evolving Role of Advanced Magnetic Resonance Imagine. Seminar in Perinatology 34, 57-66 (2010)
13. Perona, P., Malik, J.: Scale-Spacing and Edge Detection Using Anisotropic Diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 12(7), 629-639 (1990)
14. Pohle, R., Toennies, K.D.: Segmentation of medical images using adaptive region growing. Proceedings of SPIE 4322, 1337-1346 (2001)
15. Prastawa, M., Gilmore, J.H., Lin, W., Gerig, G.: Automatic segmentation of MR image of the developing newborn brain. Medical Image Analysis 9, 457-466 (2005)
16. Rehm, K., Schaper, K., Anderson, J., Woods, R.: Putting our heads together: a consensus approach to brain/non - brian segmentation in T1 - weighted MR volumes. NeuroImage 22, 1262-1270 (2004)
17. Rorden, C., Brett, M.: Stereotaxic display of brain lessions. Behavioural Neurology 12, 191-200 (2000)
18. Sadananthan, S.A., Zheng, W., Chee, M.W., Zagorodnov, V.: Skull stripping using graph cuts. NeuroImage 49, 225-239 (2010)
19. Segonne, F., Dale, A.M., Busa, E., Glessner, M., Salat, D., Hahn, H.K., Fischl, B.: A hybrid approach to the skull stripping problem in MRI. NeuroImage 22, 1060-1075 (2004)
20. Shanthi, K., Sasi Kumar, M.: Skull stripping and automatic segmentation of brain MRI using seed growth and threshold techniques. In: International Conference on Intelligent and Advanced Systems, ICIAS 2007, November 25-28, pp. 422-426. IEEE Computer Society, Los Alamitos (2007)
21. Shattuck, D.W., Leathy, R.M.: BrainSuite: An automated cortical surface identification tool. Medical Image Analysis 6, 129-142 (2002)
22. Shattuck, D.W., Sandor-Leathy, S.R., Shaper, K.A., Rottenberg, D.A., Leathy, R.M.: Magnetic Resonance Image Tissue Classification Using a Partial Volume Model. NeuroImage 13, 856-876 (2001)
23. Smith, S.M.: Fast robust automated brain extraction. Human Brain Mapping 17, 143-155 (2002)
24. Smith, S., Jenkinson, M., Woolrich, M., Beckmann, C., Behrens, T., Johansen- Berg, H., Bannister, P., Luca, M.D., Drobnjak, I., Flitney, D., Niazy, R., Saunders, J., Vickers, J., Zhang, Y., Stefano, N.D., Brady, J., Matthews, P.: Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 23(S1), 208-219 (2004)
25. SPM8: This software is available at the web address, http://www.fil.ion. ucl.ac.uk/spm/
26. Tzaroushi, L.C., Astrakas, L.G., Zikou, A., Xydis, V., Kosta, P., Andronikou, S., Argyropoulou, M.I.: Preventricular leukomalacia in preterm children: assessment of grey and white matter and cerebrospinal fluid changes by MRI. Pediatric Radiology 39, 1327-1332 (2009)
27. Weickert, J.: Coherence - Enhancing Diffusion Filtering. Internation Journal of Computer Vision 31(2/3), 111-127 (1999)
28. Zhao, W., Xie, M., Gao, J., Li, T.: A Modified Skull-Stripping Method Based on Morphological Processing. In: ICCMS 2010: Second International Conference on Computer Modeling and Simulation, vol. 1, pp. 159-163 (2010)