Spatiotemporal morphometry of adjacent tissue layers with application to the study of sulcal formation

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

Volumn 6892 LNCS, Issue PART 2, 2011, Pages 476-483

  Rajagopalan, Vidya ^a,b   Scott, Julia ^a,b   Habas, Piotr A ^a,b   Kim, Kio ^a,b   Rousseau, François ^c   Glenn, Orit A ^d   Barkovich, A James ^d   Studholme, Colin ^a,b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^c UNIVERSITÉ DE STRASBOURG   (France)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADJACENT LAYERS; BRAIN SURFACE; CORTICAL SURFACES; DIRECTIONAL PROPERTIES; HUMAN FETAL BRAIN; LOCAL REGRESSION; MODEL CHANGE; MORPHOMETRY; MR IMAGING; TISSUE BOUNDARY; TISSUE GROWTH; TISSUE LAYERS;

MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; POPULATION STATISTICS;

TISSUE;

ALGORITHM; ARTICLE; BRAIN; BRAIN CORTEX; BRAIN MAPPING; FEMALE; GESTATIONAL AGE; HISTOLOGY; HUMAN; IMAGE PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PREGNANCY; PRENATAL DEVELOPMENT; STATISTICAL MODEL; TIME;

ALGORITHMS; BRAIN; BRAIN MAPPING; CEREBRAL CORTEX; FEMALE; GESTATIONAL AGE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; PREGNANCY; TIME FACTORS;

EID: 82255186020     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23629-7_58     Document Type: Conference Paper

References (21)

1. van Essen, D.C.: A tension-based theory of morphogenesis and compact wiring in the central nervous system. Nature 385, 313-318 (1997)
2. Welker, W.: Why does cerebral cortex fissure and fold? a review of determinants of gyri and sulci. Cerebral Cortex 8, 3-136 (1990)
3. Armstrong, E., Schleicher, A., Omran, H., Curtis, M., Zilles, K.: The ontogeny of human gyrification. Cerebral Cortex 5(1), 56-63 (1995)
4. Rakic, P.: Genetic control of cortical convolutions. Science 303(5666), 1983-1984 (2004)
5. Toro, R., Burnod, Y.: A morphogenetic model for the development of cortical convolutions. Cereb. Cortex 15, 1900-1913 (2005)
6. Lefevre, J., Mangin, J.F.: A reaction-diffusion model of human brain development. PLoS Comput. Biol. 6, e1000749 (2010)
7. Rajagopalan, V., Scott, J.A., Habas, P.A., Corbett-Detig, J.M., Kim, K., Rousseau, F., Barkovich, A.J., Glenn, O.A., Studholme, C.: Local tissue growth patterns underlying normal fetal human brain gyrification quantified in utero. Journal of Neuroscience 31(8), 2878-2887 (2011)
8. Dubois, J., Benders, M., Cachia, A., Lazeyras, F., Ha-Vinh Leuchter, R., Sizonenko, S., Borradori-Tolsa, C., Mangin, J., Huppi, P.: Mapping the early cortical folding process in the preterm newborn brain. Cereb. Cortex 18(6), 1444-1454 (2008)
9. Lenroot, R.K., Gogtay, N., Greenstein, D.K., Wells, E.M., Wallace, G.L., Clasen, L.S., Blumenthal, J.D., Lerch, J., Zijdenbos, A.P., Evans, A.C., Thompson, P.M., Giedd, J.N.: Sexual dimorphism of brain developmental trajectories during childhood and adolescence. NeuroImage 36(4), 1065-1073 (2007)
10. Lee, J., Fonov, V., Evans, A.: Mapping brain growth of early childhood using deformation based morphometry. NeuroImage 47(supplement 1), S153-S153 (2009)
11. Aljabar, P., Bhatia, K.K., Murgasova, M., Hajnal, J.V., Boardman, J.P., Srinivasan, L., Rutherford, M.A., Dyet, L.E., Edwards, A.D., Rueckert, D.: Assessment of brain growth in early childhood using deformation-based morphometry. Neuroimage 39(1), 348-358 (2008)
12. Arsigny, V., Commowick, O., Pennec, X., Ayache, N.: A log-euclidean framework for statistics on diffeomorphisms. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4190, pp. 924-931. Springer, Heidelberg (2006)
13. Cleveland, W.S., Devlin, S.J.: Locally weighted regression: An approach to regression analysis by local fitting. Journal of the American Statistical Association 83, 596-610 (1988)
14. Nichols, T.E., Holmes, A.P.: Nonparametric permutation tests for functional neuroimaging: A primer with examples. Hum. Brain Mapp. 15(1), 1-25 (2002)
15. Kim, K., Habas, P.A., Rousseau, F., Glenn, O.A., Barkovich, A.J., Studholme, C.: Intersection based motion correction of multislice MRI for 3-D in utero fetal brain image formation. IEEE Trans. Med. Imaging 29(1), 146-158 (2010)
16. Habas, P.A., Kim, K., Corbett-Detig, J.M., Rousseau, F., Glenn, O.A., Barkovich, A.J., Studholme, C.: A spatiotemporal atlas of MR intensity, tissue probability and shape of the fetal brain with application to segmentation. Neuroimage 53(2), 460-470 (2010)
17. Lopes, A., Brodlie, K.: Improving the robustness and accuracy of the marching cubes algorithm for isosurfacing. IEEE Trans. Viz. and Comput. Graph. 9(1), 16-29 (2003)
18. Rakic, P., Ayoub, A.E., Breunig, J.J., Dominguez, M.H.: Decision by division: Making cortical maps. Trends Neurosci. 32(5), 291-301 (2009)
19. Smart, I.H., McSherry, G.M.: Gyrus formation in the cerebral cortex in the ferret. I. Description of the external changes. J. Anat, 146, 141-152 (1986)
20. Kostovic, I., Rakic, P.: Developmental history of the transient subplate zone in the visual and somatosensory cortex of the macaque monkey and human brain. J. Comp. Neurol. 297(3), 441-470 (1990)
21. Hilgetag, C.C., Barbas, H.: Role of mechanical factors in the morphology of the primate cerebral cortex. PLoS Comput. Biol. 2(3), e22 (2006)