A novel quantitative cross-validation of different cortical surface reconstruction algorithms using MRI phantom

NeuroImage

Volumn 31, Issue 2, 2006, Pages 572-584

  Lee, Jun Ki ^a   Lee, Jong Min ^a   Kim, June Sic ^b   Kim, In Young ^a   Evans, Alan C ^c   Kim, Sun I ^a  

^a Hanyang University   (South Korea)

^b Seoul National University College of Medicine   (South Korea)

^c MCGILL UNIVERSITY   (Canada)

Author keywords

BrainVISA; CLASP; Cortical surface reconstruction algorithm; Freesurfer; MR phantom; Quantitative validation

Indexed keywords

ALGORITHM; ARTICLE; BRAIN CORTEX; NUCLEAR MAGNETIC RESONANCE IMAGING; PHANTOM; PRIORITY JOURNAL; VALIDATION STUDY; HEMISPHERIC DOMINANCE; HISTOLOGY; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; METHODOLOGY; PIA MATER; REPRODUCIBILITY;

ALGORITHMS; CEREBRAL CORTEX; FUNCTIONAL LATERALITY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PHANTOMS, IMAGING; PIA MATER; REPRODUCIBILITY OF RESULTS;

EID: 33747039843     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2005.12.044     Document Type: Article

References (42)

1. Cachier P., Mangin J.F., Pennec X., Riviére D., Papadopoulos-Orfanos D., Régis J., and Ayache N. In: Niessen W., and Viergever M. (Eds). Multisubject Non-Rigid Registration of Brain MRI Using Intensity and Geometric Features (2001), Springer Verlag, Berlin Heidelberg 734-742
2. Carman G.J., Drury H.A., and Van Essen D.C. Computational methods for reconstructing and unfolding the cerebral cortex. Cereb. Cortex 5 6 (1995) 506-517
3. Chung M.K., Worsley K.J., Robbins S., Paus T., Taylor J., Giedd J.N., Rapoport J.L., and Evans A.C. Deformation-based surface morphometry applied to gray matter deformation. NeuroImage 18 2 (2003) 198-213
4. Collins D.L., Neelin P., Peters T.M., and Evans A.C. Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space. J. Comput. Assist. Tomogr. 18 2 (1994) 192-205
5. Collins D.L., Zijdenbos A.P., Kollokian V., Sled J.G., Kabani N.J., Holmes C.J., and Evans A.C. Design and construction of a realistic digital brain phantom. IEEE Trans. Med. Imag. 17 3 (1998) 463-468
6. Dale A.M., and Sereno M.I. Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach. J. Cogn. Neurosci. 5 2 (1993) 162-176
7. Dale A.M., Fischl B., and Sereno M.I. Cortical surface-based analysis. I. Segmentation and surface reconstruction. NeuroImage 9 2 (1999) 179-194
8. Essen D.C., Van Lewis J.W., Drury H.A., Hadjikhani N., Tootell R.B.H., Bakircioglu M., and Miller M.I. Mapping visual cortex in monkeys and humans using surface-based atlases. Vision Res. 41 (2001) 1359-1378
9. Fischl B., Sereno M.I., and Dale A.M. Cortical surface-based analysis: II. Inflation, flattening, and a surface-based coordinate system. NeuroImage 9 2 (1999) 195-207
10. Fischl B., Sereno M.I., Tootell R.B., and Dale A.M. High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum. Brain Mapp. 8 4 (1999) 272-284
11. Gordon D., and Udupa J. Fast surface tracking in three-dimensional binary images. Comput. Vis. Graph. Image Process. 45 6 (1989) 196-214
12. Grimson W.E.L., Ettinger G., Kapur T., Leventon M., Wells W., and Kikinis R. Utilizing segmented MRI data in image-guided surgery. Int. J. Pattern Recogn. Artif. Intell. 11 (1998) 1367-1397
13. Han, X., Xu, C., Prince, J.L. 2001. A topology preserving deformable model using level sets, pp. 765-770.
14. Hearn D., and Baker M.P. Computer Graphics, C version (1997), Prentice Hall, Inc., New Jersey 117-126 pp.
15. Jaume S., Macq B., and Warfield S.K. In: Dohi T., and Kikinis R. (Eds). Labeling the Brain Surface Using a Deformable Multiresolution Mesh (2002), Springer Verlag, Berlin Heidelberg 451-458
16. Kim J.J., Crespo-Facorro B., Andreasen N.C., O'Leary D.S., Zhang B., Harris G., and Magnotta V.A. An MRI-based parcellation method for the temporal lobe. NeuroImage 11 4 (2000) 271-288
17. Kim J.S., Singh V., Lee J.K., Lerch J., Ad-Dab'bagh Y., MacDonald D., Lee J.M., Kim S.I., and Evans A.C. Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification. NeuroImage 27 1 (2005) 210-221
18. Kriegeskorte N., and Goebel R. An efficient algorithm for topologically correct segmentation of the cortical sheet in anatomical mr volumes. NeuroImage 14 2 (2001) 329-346
19. Kruggel F., Bruckner M.K., Arendt T., Wiggins C.J., and von Cramon D.Y. Analyzing the neocortical fine-structure. Med. Image Anal. 7 3 (2003) 251-264
20. Kwan R.K.S., Evans A.C., and Pike G.B. An extensible MRI simulator for post-processing evaluation. Lect. Notes Comput. Sci. 1131 (1996) 135-140
21. Ma C.-M., and Wan S.-Y. A medial-surface oriented 3-d two-subfield thinning algorithm. Pattern Recogn. Lett. 22 (2001) 1439-1446
22. MacDonald D., Kabani N., Avis D., and Evans A.C. Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI. NeuroImage 12 3 (2000) 340-356
23. Magnotta V.A., Andreasen N.C., Schultz S.K., Harris G., Cizadlo T., Heckel D., Nopoulos P., and Flaum M. Quantitative in vivo measurement of gyrification in the human brain: changes associated with aging. Cereb. Cortex 9 2 (1999) 151-160
24. Manceaux-Demiau A., Bryan R.N., and Davatzikos C. A probabilistic ribbon model for shape analysis of the cerebral sulci: application to the central sulcus. J. Comput. Assist. Tomogr. 22 6 (1998) 962-971
25. Mangin J.-F., Frouin V., Bloch I., Regis J., and López-Krahe J. From 3D MR images to structural representations of the cortex topography using topology preserving deformations. J. Math. Imaging Vis. 5 4 (1995) 297-318
26. Mazziotta J.C., Toga A.W., Evans A., Fox P., and Lancaster J. A probabilistic atlas of the human brain: theory and rationale for its development. The International Consortium for Brain Mapping (ICBM). NeuroImage 2 2 (1995) 89-101
27. Pont J.C. La Topologie Algebrique: Des Origines a Poincare (1974), Presses Universitaires de France, Paris
28. Preparata F.P., and Shamos M.I. Computational Geometry: an Introduction (1985), Springer-Verlag, Berlin
29. Sandor S., and Leahy R. Surface-based labeling of cortical anatomy using a deformable atlas. IEEE Trans. Med. Imag. 16 (1997) 41-54
30. Sarraille J.J., and Myers L.S. FD3: a program for measuring fractal dimension. Educ. Psychol. Meas. 54 (1994) 94-97
31. Sled J.G., Zijdenbos A.P., and Evans A.C. A non-parametric method for automatic correction of intensity non-uniformity in MRI data. IEEE Trans. Med. Imag. 17 (1998) 87-97
32. Talairach J., and Tournoux P. Co-planar Stereotaxic Atlas of the Human Brain (1988), New York, Thieme Medical Publishers
33. Thompson P.M., MacDonald D., Mega M.S., Holmes C.J., Evans A.C., and Toga A.W. Detection and mapping of abnormal brain structure with a probabilistic atlas of cortical surfaces. J. Comput. Assist. Tomogr. 21 4 (1997) 567-581
34. Thompson P.M., Mega M.S., Woods R.P., Zoumalan C.I., Lindshield C.J., Blanton R.E., Moussai J., Holmes C.J., Cummings J.L., and Toga A.W. Cortical changes in Alzheimer's disease detected with a disease-specific population-based brain atlas. Cereb. Cortex 11 1 (2001) 1-16
35. Thompson P.M., Hayashi K.M., de Zubicaray G., Janke A.L., Rose S.E., Semple J., Herman D., Hong M.S., Dittmer S.S., Doddrell D.M., et al. Dynamics of gray matter loss in Alzheimer's disease. J. Neurosci. 23 3 (2003) 994-1005
36. Tosun D., and Prince J.L. Hemispherical Map for the Human Brain Cortex (2001), SPIE Press, Bellingham, WA 290-300
37. Van Essen D.C., and Drury H.A. Structural and functional analyses of human cerebral cortex using a surface-based atlas. J. Neurosci. 17 18 (1997) 7079-7102
38. Worsley K.J. Boundary corrections for the expected Euler characteristic of excursion sets of random fields, with an application to astrophysics. Adv. Appl. Probab. 27 (1995) 943-959
39. Yezzi A.J., and Prince J.L. An evolution PDE approach for computing tissue thickness. IEEE Trans. Med. Imag. 22 10 (2003) 1332-1339
40. Zijdenbos A.P., Evans A.C., Riahi F., Sled J.G., Chui J., and Kollokian V. Automatic quantification of multiple sclerosis lesion volume using stereotaxic space. Proc. 4th Intl. Conf. on Visualization in BioMed. Computing VBC (1996) 439-448
41. Zijdenbos A.P., Forghani R., and Evans A.C. Automatic quantification of MS lesions in 3D MRI brain data sets: validation of INSECT. MICCAI (1998) 439-448
42. Zilles K., Armstrong E., Schleicher A., and Kretschmann H.J. The human pattern of gyrification in the cerebral cortex. Anat. Embryol. (Berl.) 179 2 (1988) 173-179