Automatic extraction of sulcal lines on cortical surfaces based on anisotropic geodesic distance

NeuroImage

Volumn 49, Issue 1, 2010, Pages 293-302

  Seong, Joon Kyung ^a   Im, Kiho ^b   Yoo, Sang Wook ^a   Seo, Sang Won ^c   Na, Duk L ^c   Lee, Jong Min ^b  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Hanyang University   (South Korea)

^c Sungkyunkwan University   (South Korea)

Author keywords

Anisotropy; Cortical surface; Curvature tensor; Geodesic; Hamilton Jacobi; Skeleton; Sulcal lines

Indexed keywords

ACCURACY; AGED; ALGORITHM; ALZHEIMER DISEASE; ANALYTICAL ERROR; ANISOTROPY; ARTICLE; BRAIN CORTEX; BRAIN REGION; CONTROLLED STUDY; DATA ANALYSIS; FEMALE; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MALE; MORPHOMETRICS; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIGNAL NOISE RATIO;

AGED; ALGORITHMS; ANISOTROPY; BRAIN MAPPING; CEREBRAL CORTEX; DATA INTERPRETATION, STATISTICAL; EDUCATION; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MIDDLE AGED; NEUROPSYCHOLOGICAL TESTS; REPRODUCIBILITY OF RESULTS;

EID: 70349973770     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.08.013     Document Type: Article

References (64)

1. Boucher M., Whitesides S., and Evans A. Depth potential function for folding pattern representation, registration and analysis. Med. Image Anal. 13 2 (2009) 203-214
2. Bronstein A.M., Bronstein M.M., and Kimmel R. Weighted distance maps computation on parametric three-dimensional manifolds. J. Comput. Phys. 225 1 (2007) 771-784
3. Collins D., Neelin P., Peters T., and Evans A. Automatic 3D intersubject registration of mr volumetric data in standardized Talairach space. J. Comput. Assist. Tomogr. 18 (1994) 192-205
4. Csernansky J.G., Gillespie S.K., Dierker D.L., Anticevic A., Wang L., Barch D.M., and Essen D.C.V. Symmetric abnormalities in sulcal patterning in schizophrenia. NeuroImage 43 3 (2008) 440-446
5. Dale A.M., Fischl B., and Sereno M.I. Cortical surface-based analysis: I. Segmentation and surface reconstruction. NeuroImage 9 2 (1999) 179-194
6. Damon J. Determining the geometry of boundaries of objects from medial data. Int. J. Comput. Vision 63 1 (2005) 45-64
7. Fillard P., Arsigny V., Pennec X., Hayashi K.M., Thompson P.M., and Ayache N. Measuring brain variability by extrapolating sparse tensor fields measured on sulcal lines. NeuroImage 34 2 (2007) 639-650
8. Fischl B., Rajendran N., Busa E., Augustinack J., Hinds O., Yeo B.T., Mohlberg H., Amunts K., and Zilles K. Cortical folding patterns and predicting cytoarchitecture. Cereb. Cortex 18 8 (2008) 1973-1980
9. Fischl B., Sereno M., and Dale A. Cortical surface-based analysis-II: inflation, flattening, and a surface-based coordinate system. NeuroImage 9 13 (February 1999) 195-207
10. Folstein M.F., Folstein S.E., and McHugh P.R. "Mini-mental state". a practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 12 3 (November 1975) 189-198
11. Glaunes J., Trouve A., and Younes L. Diffeomorphic matching of distributions: a new approach for unlabelled point-sets and sub-manifolds matching. Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on 2, II-712-II-718 Vol. 2 (June-2 July 2004)
12. Goualher G.L., Procyk E., Collins D., Venugopal R., Barillot C., and Evans A. Automated extraction and variability analysis of sulcal neuroanatomy. Med. Imaging, IEEE Trans. 18 3 (March 1999) 206-217
13. Hasnain M., Fox P., and Woldorff M. Structure-function spatial covariance in the human visual cortex. Cereb. Cortex 11 (2001) 702-716
14. Hasnain M., Fox P., and Woldorff M. Hemispheric asymmetry of sulcus-function correspondence: quantization and developmental implications. Hum. Brain Mapp. 27 (2006) 277-287
15. Hellier P., and Barillot C. Coupling dense and landmark-based approaches for nonrigid registration. Med. Imag. IEEE Trans. 22 2 (Feb. 2003) 217-227
16. Im K., Jo H.J., Mangin J.-F., Evans A.C., Kim S.I., and Lee J.-M. Spatial distribution of deep sulcal landmarks and hemispherical asymmetry on the cortical surface. Cereb. Cortex (2009) 10.1093/cercor/bhp127
17. Im K., Lee J.-M., Lyttelton O., Kim S.H., Evans A.C., and Kim S.I. Brain size and cortical structure in the adult human brain. Cereb. Cortex 18 9 (2008) 2181-2191
18. Im K., Lee J.-M., Seo S., Lyttelton O., Kim S.H., Evans A.C., and Kim S.I. Sulcal morphology changes and their relationship with cortical thickness and gyral white matter volume in mild cognitive impairment and Alzheimer's disease. Neuroimage 43 (2008) 103-113
19. Im K., Lee J.-M., Seo S.W., Yoon U., Kim S.T., Kim Y.-H., Kim S.I., and Na D.L. Variations in cortical thickness with dementia severity in Alzheimer's disease. Neurosci. Letts. 436 2 (2008) 227-231
20. Jackowski M., Kao C.Y., Qiu M., Constable T.R., and Constable L.H. White matter tractography by anisotropic wavefront evolution and diffusion tensor imaging. Med. Image Anal. 9 5 (October 2005) 427-440
21. Kao C.-Y., Hofer M., Sapiro G., Stern J., Rehm K., and Rottenberg D.A. A geometric method for automatic extraction of sulcal fundi. IEEE Trans. Med. Imaging 26 4 (2007) 530-540
22. Khaneja N., Miller M.I., and Grenander U. Dynamic programming generation of curves on brain surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 20 11 (1998) 1260-1265
23. 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
24. Kippenhan J.S., Olsen R.K., Mervis C.B., Morris C.A., Kohn P., Meyer-Lindenberg A., and Berman K.F. Genetic contributions to human gyrification: sulcal morphometry in Williams syndrome. J. Neurosci. 25 34 (2005) 7840-7846
25. Kochunov P., Mangin J.-F., Coyle T., Lancaster J., Thompson P., Rivire D., Cointepas Y., Rgis J., Schlosser A., Royall D.R., Zilles K., Mazziotta J., Toga A., and Fox P.T. Age-related morphology trends of cortical sulci. Hum. Brain Mapp. 36 3 (2005) 210-220
26. Larsson, J., 2001. Imaging vision: functional mapping of intermediate visual processes in man. Ph.D. thesis, Karolinska Institutet, Stockholm, Sweden.
27. Lee J.K., Lee J.-M., Kim J.S., Kim I.Y., Evans A.C., and Kim S.I. A novel quantitative cross-validation of different cortical surface reconstruction algorithms using MRI phantom. NeuroImage 31 2 (2006) 572-584
28. Lohmann G. Extracting line representations of sulcal and gyral patterns in mr images of the human brain. Med. Imag., IEEE Trans. 17 6 (Dec. 1998) 1040-1048
29. Lohmann G., von Cramon D.Y., and Colchester A.C.F. Deep sulcal landmarks provide an organizing framework for human cortical folding. Cereb. Cortex 18 (2008) 1415-1420
30. Lohmann G., von Cramon D.Y., and Steinmetz H. Sulcal variability of twins. Cereb. Cortex 9 7 (1999) 754-763
31. 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
32. 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
33. Mangin J.-F., Regis J., Bloch I., Frouin V., Samson Y., and Lopez-Krahe J. A MRF based random graph modelling the human cortical topography. CVRMed (1995) 177-183
34. Mangin J.-F., Rivire D., Cachia A., Duchesnay E., Cointepas Y., Papadopoulos-Orfanos D., Scifo P., Ochiai T., Brunelle F., and Rgis J. A framework to study the cortical folding patterns. NeuroImage 23 Suppl. 1 (2004) S129-S138 mathematics in Brain Imaging
35. McKhann G., Drachman D., Folstein M., Katzman R., Price D., and Stadlan E.M. Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology 34 7 (1984) 939
36. Mémoli F., and Sapiro G. Fast computation of weighted distance functions and geodesics on implicit hyper-surfaces: 730. J. Comput. Phys. 173 2 (2001) 764
37. Meyer M., Desbrun M., Schrder P., and Barr A.H. Discrete differential-geometry operators for triangulated 2-manifolds (2002), Springer-Verlag 35-57
38. Nordahl C.W., Dierker D., Mostafavi I., Schumann C.M., Rivera S.M., Amaral D.G., and Essen D.C.V. Cortical folding abnormalities in autism revealed by surface-based morphometry. J. Neurosci. 27 43 (2007) 11725-11735
39. Ochiai T., Grimault S., Scavarda D., Roch G., Hori T., Rivire D., Mangin J.F., and Rgis J. Sulcal pattern and morphology of the superior temporal sulcus. NeuroImage 22 2 (2004) 706-719
40. Piao X., Hill R.S., Bodell A., Chang B.S., Basel-Vanagaite L., Straussberg R., Dobyns W.B., Qasrawi B., Winter R.M., Innes A.M., Voit T., Ross M.E., Michaud J.L., Descarie J.-C., Barkovich A.J., and Walsh C.A. G protein-coupled receptor-dependent development of human frontal cortex. Science 303 (2004) 2033-2036
41. Rakic P. NEUROSCIENCE: genetic control of cortical convolutions. Science 303 5666 (2004) 1983-1984
42. Rettmann M.E., Han X., Xu C., and Prince J.L. Automated sulcal segmentation using watersheds on the cortical surface. NeuroImage 15 2 (2002) 329-344
43. Rettmann M.E., Kraut M.A., Prince J.L., and Resnick S.M. Cross-sectional and longitudinal analyses of anatomical sulcal changes associated with aging. Cereb. Cortex 16 11 (2006) 1584-1594
44. Rivire D., Mangin J.-F., Papadopoulos-Orfanos D., Martinez J.-M., Frouin V., and Rgis J. Automatic recognition of cortical sulci of the human brain using a congregation of neural networks. Med. Image Anal. 6 2 (2002) 77-92
45. Rubenstein J.L., and Rakic P. Genetic control of cortical development. Cereb. Cortex 9 6 (1999) 521-523
46. Rusinkiewicz S. Estimating curvatures and their derivatives on triangle meshes. 3D Data Processing, Visualization and Transmission, 2004 (Sept. 2004) 486-493
47. Seong J.-K., Jeong W.-K., and Cohen E. Anisotropic geodesic distance computation for parametric surfaces. IEEE Int. Conf. Shape Model. Appl. (June 2008) 179-186
48. Seong, J.-K., Yoo, S. W., Cohen, E., Shin, S. Y., 2009. Anisotropic geodesic computation on triangulated 2-manifolds. Tech. rep., Department of Computer Science, Korea Advanced Institute of Science and Technology, Korea.
49. Sethian J.A., and Vladimirsky A. Ordered upwind methods for static Hamilton-Jacobi equations: theory and algorithms. SIAM J. Numer. Anal. 41 1 (2003) 325-363
50. Shi Y., Thompson P., Dinov I., and Toga A. Hamilton-Jacobi skeleton on cortical surfaces. Med. Imag., IEEE Trans. 27 5 (May 2008) 664-673
51. Siddiqi K., Bouix S., Tannenbaum A., and Zucker S.W. Hamilton-Jacobi skeletons. Int. J. Comput. Vision 48 3 (2002) 215-231
52. Sled J., Zijdenbos A., and Evans A. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. Med. Imag., IEEE Trans. 17 1 (Feb. 1998) 87-97
53. Tao X., Han X., Rettmann M.E., Prince J.L., and Davatzikos C. Statistical study on cortical sulci of human brains. Proceedings of the 17th International Conference on Information Processing in Medical Imaging (2001), Springer-Verlag, London, UK 475-487
54. Tao X., Prince J., and Davatzikos C. Using a statistical shape model to extract sulcal curves on the outer cortex of the human brain. Med. Imag., IEEE Trans. 21 5 (May 2002) 513-524
55. Thompson P., and Toga A. A surface-based technique for warping three-dimensional images of the brain. Med. Imag., IEEE Trans. 15 4 (Aug 1996) 402-417
56. Thompson P.M., Hayashi K.M., Sowell E.R., Gogtay N., Giedd J.N., Rapoport J.L., de Zubicaray G.I., Janke A.L., Rose S.E., Semple J., Doddrell D.M., Wang Y., van Erp T.G., Cannon T.D., and Toga A.W. Mapping cortical change in Alzheimer's disease, brain development, and schizophrenia. NeuroImage 23 Suppl. 1 (2004) S2-S18 mathematics in Brain Imaging
57. Tosun D., Rettmann M.E., Han X., Tao X., Xu C., Resnick S.M., Pham D.L., and Prince J.L. Cortical surface segmentation and mapping. NeuroImage 23 Suppl. 1 (2004) S108-S118
58. Tu Z., Zheng S., Yuille A., Reiss A., Dutton R., Lee A., Galaburda A., Dinov I., Thompson P., and Toga A. Automated extraction of the cortical sulci based on a supervised learning approach. Med. Imag., IEEE Trans. 26 4 (April 2007) 541-552
59. Vaillant M., and Davatzikos C. Finding parametric representations of the cortical sulci using an active contour model. Med. Image Anal. 1 4 (1997) 295-315
60. Van Essen D.C. A population-average, landmark- and surface-based (pals) atlas of human cerebral cortex. NeuroImage 28 3 (2005) 635-662
61. Van Essen D.C., Dierker D., Snyder A.Z., Raichle M.E., Reiss A.L., and Korenberg J. Symmetry of cortical folding abnormalities in Williams syndrome revealed by surface-based analyses. J. Neurosci. 26 20 (2006) 5470-5483
62. Weber O., Devir Y.S., Bronstein A.M., Bronstein M.M., and Kimmel R. Parallel algorithms for approximation of distance maps on parametric surfaces. ACM Trans. Graph. 27 4 (2008) 1-16
63. Welker W. Why does cerebral cortex fissure and fold? A review of determinants of gyri and sulci. Cereb. cortex 8 (1990) 3-136
64. 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. VBC '96: Proceedings of the 4th International Conference on Visualization in Biomedical Computing (1996), Springer-Verlag, London, UK 439-448