Sulcal set optimization for cortical surface registration

NeuroImage

Volumn 50, Issue 3, 2010, Pages 950-959

  Joshi, Anand A ^a,b   Pantazis, Dimitrios ^a   Li, Quanzheng ^a   Damasio, Hanna ^a   Shattuck, David W ^b   Toga, Arthur W ^b   Leahy, Richard M ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Cortical surface; Landmark selection; p harmonic mappings; Sulcal registration

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; BRAIN CORTEX; BRAIN MAPPING; BRAIN REGION; CONTROLLED STUDY; CORRELATION ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MEASUREMENT ERROR; MULTIVARIATE ANALYSIS; NEUROANATOMY; NORMAL DISTRIBUTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION;

ALGORITHMS; AUTOMATION; CEREBRAL CORTEX; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, NEUROLOGICAL; MULTIVARIATE ANALYSIS; NORMAL DISTRIBUTION; PROBABILITY;

EID: 77249146354     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.12.064     Document Type: Article

References (44)

1. Besl P., and McKay H. A method for registration of 3-D shapes. IEEE Trans Pattern Anal. Mach. Intell. 14 2 (1992) 239-256
2. Beumer G.M., Tao Q., Bazen A.M., and Veldhuis R.N.J. A landmark paper in face recognition. In: FGR '06: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition (2006), IEEE Computer Society, Washington, DC, USA 73-78
3. Blanton R.E., Levitt J.G., Thompson P.M., Narr K.L., Capetillo-Cunliffe L., Nobel A., McCracken J.D.S.J.T., and Toga A.W. Mapping cortical asymmetry and complexity patterns in normal children. Psychiatry Res. 107 1 (2001) 29-43
4. Caunce A., and Taylor C.J. 3d point distribution models of the cortical sulci. ICCV (1998) 402-407
5. Changeux J. Drug use and abuse. Daedalus (1998) 145-165
6. Chui H., and Rangarajan A. A new point matching algorithm for non-rigid registration. Comput. Vis. Image Understand. 89 2-3 (2003) 114-141
7. Cootes T., and Taylor C. Anatomical statistical models and their role in feature extraction. Br. J. Radiol. 77 Special Issue 2 (2004) S133
8. Fischl B., Sereno M.I., Tootell R.B.H., and Dale A.M. High-resolution inter-subject averaging and a coordinate system for the cortical surface. Hum. Brain Mapp. 8 (1998) 272-284
9. Goebel R., Esposito F., and Formisano E. Analysis of functional image analysis contest (FIAC) data with brainvoyager QX: From single-subject to cortically aligned group general linear model analysis and self-organizing group independent component analysis. Hum Brain Mapp. 27 5 (2006) 392
10. Goghari V., Rehm K., Carter C., and Macdonald A. Sulcal thickness as a vulnerability indicator for schizophrenia. Br. J. Psychiatry 191 3 (2007) 229
11. Gogtay N., Giedd J., Lusk L., Hayashi K., Greenstein D., Vaituzis A., Nugent T., Herman D., Clasen L., Toga A., et al. Dynamic mapping of human cortical development during childhood through early adulthood. Proc. Natl. Acad. Sci. 101 21 (2004) 8174
12. Greiner R., and Isukapalli R. Learning to select useful landmarks. National Conference on Artificial Intelligence (1994) 1251-1256
13. Hoffman H., Richards T., Coda B., Bills A., Blough D., Richards A., and Sharar S. Modulation of thermal pain-related brain activity with virtual reality: evidence from fMRI. NeuroReport 15 8 (2004) 1245
14. Joshi A., Shattuck D., Thompson P., and Leahy R. A finite element method for elastic parameterization and alignment of cortical surfaces using sulcal constraints. 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007 (2007) 640-643
15. Joshi A.A., Shattuck D.W., Thompson P.M., and Leahy R.M. Surfaceconstrained volumetric brain registration using harmonic mappings. IEEE Trans. Med. Imaging 26 12 (2007) 1657-1669
16. Kippenhan J., Olsen R., Mervis C., Morris C., Kohn P., Meyer-Lindenberg A., and Berman K. Genetic contributions to human gyrification: sulcal morphometry in Williams syndrome. J. Neurosci. 25 34 (2005) 7840-7846
17. Leow A., Yu C., Lee S., Huang S., Protas H., Nicolson R., Hayashi K., Toga A., and Thompson P. Brain structural mapping using a novel hybrid implicit/explicit framework based on the level-set method. NeuroImage 24 3 (2005) 910-927
18. Oct. Luders E., Rex D.E., Narr K.L., Woods R.P., Jancke L., Thompson P.M., Mazziotta J.C., and Toga A.W. Relationships between sulcal asymmetries and corpus callosum size: gender and handedness effects. Cereb. Cortex 13 10 (2003) 1084-1093
19. Madsen C., and Andersen C. Optimal landmark selection for triangulation of robot position. Robot. Auton. Syst. 23 4 (1998) 277-292
20. Mardia K., Kent J., and Bibby J. Multivariate Analysis (1979), Academic Press
21. In: Nahas G.G., and Burks T.F. (Eds). Drug Abuse in the Decade of the Brain (1997), IOS Press
22. Narr K., Thompson P., Sharma T., Moussai J., Zoumalan C., Rayman J., and Toga A. Three-dimensional mapping of gyral shape and cortical surface asymmetries in schizophrenia: gender effects. Am. J. Psychiatry 158 2 (2001) 244255
23. O'Donnell S., Noseworthy M., Levine B., and Dennis M. Cortical thickness of the frontopolar area in typically developing children and adolescents. NeuroImage 24 4 (2005) 948-954
24. O'Donnell S., Noseworthy M., Levine B., and Dennis M. Cortical thickness of the frontopolar area in typically developing children and adolescents. Neuroimage 24 4 (2005) 948-954
25. Olson C. Landmark selection for terrain matching. Proceedings of the IEEE International Conference on Robotics and Automation (2000) 1447-1452
26. Pantazis D., Nichols T.E., Baillet S., and Leahy R. A comparison of random field theory and permutation methods for the statistical analysis of meg data. Neuroimage 25 2 (2005) 383-394
27. Pantazis D., Joshi A.A., Jintao J., Shattuck D.W., Bernstein L.E., Damasio H., and Leahy R.M. Comparison of landmark-based and automatic methods for cortical surface registration. NeuroImage 49 3 (2009) 2479-2493
28. Rangarajan A., Chui H., Mjolsness E., Pappu S., Davachi L., Goldman-Rakic P., and Duncan J. A robust point-matching algorithm for autoradiograph alignment. Med. Image Anal. 1 4 (1997) 379-398
29. Shattuck D.W., and Leahy R.M. Brainsuite: an automated cortical surface identification tool. Med. Image Anal. 8 2 (2002) 129-142
30. Shattuck D.W., Joshi A.A., Pantazis D., Kan E., Dutton R.A., Sowell E.R., Thompson P.M., Toga A.W., and Leahy R.M. Semi-automated method for delineation of landmarks on models of the cerebral cortex. J. Neurosci. Methods 178 2 (2009) 385-392
31. Sowell E.R., Thompson P.M., Rex D., Kornsand D., Tessner K.D., Jernigan T.L., and Toga A.W. Mapping sulcal pattern asymmetry and local cortical surface gray matter distribution in vivo: maturation in perisylvian cortices. Cereb. Cortex 12 1 (2002) 17-26
32. Sowell E.R., Peterson B.S., Thompson P.M., Welcome1 S.E., Henkenius1 A.L., and Toga A.W. Mapping cortical change across the human life span. Nat. Neurosci. 6 (2003) 309-315
33. Sozou P.D., Cootes T.F., Taylor C.J., Mauro E.C.D., and Lanitis A. Non-linear point distribution modelling using a multi-layer perceptron. Image Vis. Comput. 15 6 (1997) 457-463
34. Thompson P.M., and Toga A.W. A surface-based technique for warping 3-dimensional brain. IEEE Trans. Med. Imaging 15 4 (1996) 1-16
35. 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
36. Thompson P.M., Mega M.S., and Toga A.W. Disease-specific probabilistic brain atlases. Procedings of IEEE International Conference on Computer Vision and Pattern Recognition (2000) 227-234
37. Thompson P., Vidal C., Giedd J., Gochman P., Blumenthal J., Nicolson R., Toga A., and Rapoport J. Mapping adolescent brain change reveals dynamic wave of accelerated gray matter loss in very early-onset schizophrenia. Proc. Natl. Acad. Sci. U.S.A 98 20 (2001) 11650
38. Thompson P.M., Mega M.S., Vidal C., Rapoport J., and Toga A.W. Detecting disease-specific patterns of brain structure using cortical pattern matching and a population-based probabilistic brain atlas. IPMI2001. LNCS (2001) 488-501
39. Thompson P., Hayashi K., De Zubicaray G., Janke A., Rose S., Semple J., Doddrell D., Cannon T., and Toga A. Detecting dynamic and genetic effects on brain structure using high-dimensional cortical pattern matching. IEEE International Symposium on Biomedical Imaging Vol. 2002 (2002) 473
40. Thompson P., Hayashi K., de Zubicaray G., Janke A., Rose S., Semple J., Herman D., Hong M., Dittmer S., Doddrell D., et al. Dynamics of gray matter loss in Alzheimer's disease. J. Neurosci. 23 3 (2003) 994-1005
41. Tosun D., Rettmann M.E., and Prince J.L. Mapping techniques for aligning sulci across multiple brains. Med. Image Anal. 8 3 (2005) 295-309
42. Van Essen D. A population-average, landmark-and surface-based (PALS) atlas of human cerebral cortex. NeuroImage 28 3 (2005) 635-662
43. Wang M., and Song Z. Improving target registration accuracy in image-guided neurosurgery by optimizing the distribution of fiducial points. Int. J. Med. Robot. Comput. Assist. Surg. 5 1 (2009) 1478-5951
44. Wang Y., Chiang M.C., and Thompson P.M. Automated surface matching using mutual information applied to Riemann surface structures. MICCAI 2005, LNCS 3750 (2005) 666-674