Multi-atlas based segmentation of corpus callosum on MRIs of multiple sclerosis patients

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

Volumn 8753, Issue , 2014, Pages 729-735

  Meyer, Anneke ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

Atlas construction; Corpus callosum; Label fusion; Multi atlas based segmentation

Indexed keywords

ATLAS CONSTRUCTION; CORPUS CALLOSUM; LABEL FUSIONS; MULTI ATLAS-BASED SEGMENTATIONS; MULTIPLE SCLEROSIS;

EID: 84908682004     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-11752-2_61     Document Type: Conference Paper

References (13)

1. Rohlfing, T., Brandt, R., Menzel, R., Maurer Jr., C.R.: Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains. NeuroImage 21(4), 1428-1442 (2004)
2. Blezek, D.J., Miller, J.V.: Atlas stratification. Med. Image Anal. 11(5), 443-457 (2007)
3. Edwards, S., Liu, C., Blumhardt, L.: Cognitive correlates of supratentorial atrophy on MRI in multiple sclerosis. Acta Neurol. Scand. 104(4), 214-223 (2001)
4. Martola, J., Stawiarz, L., Frederikson, S., Hillert, J., Bergström, J., Flodmark, O., Kristoffersen Wilberg, M.: Progression of non-age-related callosal brain atrophy in multiple sclerosis: a 9-year longitudinal MRI study representing four decades of disease development. J. Neurol. Neurosurg. Psychiatry 78(4), 375-380 (2007)
5. Llufriu, S., Blanco, Y., Martinez-Heras, E., Casanova-Molla, J., Gabilondo, I., Sepulveda, M., Falcon, C., Berenguer, J., Bargallo, N., Villoslada, P.: Influence of corpus callosum damage on cognition and physical disability in multiple sclerosis: a multimodal study. PloS one 7(5), e37167 (2012)
6. Avants, B.B., Epstein, C.L., Grossman, M., Gee, J.C.: Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Med. Image Anal. 12(1), 26-41 (2008)
7. Klein, A., Andersson, J., Ardekani, B.A., Ashburner, J., Avants, B., Chiang, M.-C., Christensen, G.E., Collins, D.L., Gee, J., Hellier, P.: Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. Neuroimage 46(3), 786-802 (2009)
8. Jia, H., Wu, G., Wang, Q., Shen, D.: ABSORB: atlas building by self-organized registration and bundling. NeuroImage 51(3), 1057-1070 (2010)
9. Avants, B.B., Yushkevich, P., Pluta, J., Minkoff, D., Korczykowski, M., Detre, J., Gee, J.C.: The optimal template effect in hippocampus studies of diseased populations. Neuroimage 49 (3), 2457-2466 (2010)
10. Yushkevich, P.A., Avants, B.B., Pluta, J., Das, S., Minkoff, D., Mechanic-Hamilton, D., Glynn, S., Pickup, S., Liu, W., Gee, J.C.: A high-resolution computational atlas of the human hippocampus from postmortem magnetic resonance imaging at 9.4 T. Neuroimage 442, 385-398 (2009)
11. Warfield, S.K., Zou, K.H., Wells, W.M.: Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans. Med. Imaging 23(7), 903-921 (2004)
12. Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297-302 (1945)
13. McAusland, J., Tam, R.C., Wong, E., Riddehough, A., Li, D.K.: Optimizing the use of radiologist seed points for improved multiple sclerosis lesion segmentation. IEEE Trans. Biomed. Eng. 57(11), 2689-2698 (2010)