Automatic cortical segmentation in the developing brain

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

Volumn 4584 LNCS, Issue , 2007, Pages 257-269

  Xue, Hui ^a   Srinivasan, Latha ^a   Jiang, Shuzhou ^a   Rutherford, Mary ^a   Edwards, A David ^a   Rueckert, Daniel ^a   Hajnal, Jo V ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING;

CEREBROSPINAL FLUID (CSF); GREY MATTER (GM); NEONATAL CORTEX; PARTIAL VOLUME VOXELS;

IMAGE SEGMENTATION;

AGING; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN CORTEX; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; GROWTH, DEVELOPMENT AND AGING; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NEWBORN; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PHYSIOLOGY; PREMATURITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

AGING; ALGORITHMS; ARTIFICIAL INTELLIGENCE; CEREBRAL CORTEX; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFANT, NEWBORN; INFANT, PREMATURE; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 34548387550     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73273-0_22     Document Type: Conference Paper

References (19)

1. Boardman, J.P., Serena, C.J., Rueckert, D., Kapellou, O., Bhatia, K.K., Aljabar, P., Hajnal, J., Allsop, J.M., Rutherford, M.A., Edwards, D.A.: Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry. NeuroImage 32, 70-78 (2006)
2. McCormick, M.C., Workman-Daniels, K., Brooks-Gunn, J.: The behavioral and emotional well-being of school-age children with different birth weights. Pediatrics 97, 18-25 (1996)
3. Srinivasan, L., Allsop, J., Counsell, S.J., Boardman, J.P., Edwards, A.D., Rutherford, M.A.: Smaller cerebellar volumes in very preterm infants at term-equivalent age are associated with the presence of supratentorial lesions. AJNR Am J Neuroradiol. 27, 573-579 (2006)
4. Rutherford, M. A. (ed.): MRI of the Neonatal Brain. W.B.Saunders (2002)
5. Counsell, S.J., Allsop, J.M., Harrison, M.C., Larkman, D.J., Kennea, N.L., Kapellou, O., Cowan, F.M., Hajnal, J.V., Edwards, A.D., Rutherford, M.A.: Diffusion-weighted imaging of the brain in preterm infants with focal and diffuse white matter abnormality. Pediatrics 112, 1-7 (2003)
6. Prastawa, M., Gilmore, J.H., Lin, W.L., Gerig, G.: Automatic segmentation of MR images of the developing newborn brain. Medical Image Analysis 9, 457-466 (2005)
7. Weisenfeld, N. I., Mewes, A.U.J., Warfield, S.K.: Segmentation of newborn brain MRI. In: Proceedings of the 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano 2006, pp. 766-769 (2006)
8. Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L., Leach, M.O., Hawkes, D.J.: Nonrigid registration using free-form deformations: application to breast MR images. IEEE Transactions on Medical Imaging 18, 712-721 (1999)
9. Wells, W.M., Kikinis, R., Grimson, W.E.L., Jolesz, F.: Adaptive segmentation of MRI data. IEEE Transactions of the Medical Imaging 15, 429-442 (1996)
10. Van Leemput, K., Maes, F., Vandermeulen, D., Suetens, P.: Automated Model-Based Bias Field Correction of MR Images of the Brain. IEEE Transactions of the Medical Imaging 18, 885-896 (1999)
11. Elfadel, I.M., Picard, R.W.: Gibbs Random Fields, Cooccurrences, and Texture Modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence 16(1), 24-37 (1994)
12. Li, S.Z.: Markov Random Field Modeling in Computer Vision (Computer Science Work-bench). Springer, Berlin, Germany (1995)
13. Van Leemput, K., Maes, F., Vandermeulen, D., Suetens, P.: Automated Model-Based Tissue Classification of MR Images of the Brain. IEEE Transactions on Medical Imaging 18(10), 897-908 (1999)
14. Unser, M.: Splines: a perfect fit for signal and Image processing. IEEE Signal Processing Magazine, 22-38 (1999)
15. Sled, J.G., Zijdenbos, A.E.A.: A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Transactions on Medical Imaging 17(1), 87-97 (1998)
16. Zijdenbos, A.P., Dawant, B.M., Margolin, R.A., Palmer, A.C.: Morphometric analysis of white matter lesions in MR images: Method and validation. IEEE Transactions on Medical Imaging 13(4), 716-724 (1994)
17. Han, X., Pham, D.L., Tosun, D., Rettmann, M.E., Xu, C., Prince, J.L.: CRUISE: CRUISE: Cortical reconstruction using implicit surface evolution. NeuroImage 23, 997-1012 (2004)
18. Nocera, L., Gee, J.C.: Robust partial volume tissue classification of cerebral MRI scans. In: Proceedings of SPIE Medical Imaging 1997: Image Processing, vol. 3034, pp. 312-322 (1997)
19. Van Leemput, K., Maes, F., Vandermeulen, D., Suetens, P.: A Unifying Framework for Partial Volume Segmentation of Brain MR Images. IEEE Transactions on Medical Imaging 22(1), 105-119 (2003)