Automatic segmentation of pediatric brain MRIs using a maximum probability pediatric atlas

IST 2012 - 2012 IEEE International Conference on Imaging Systems and Techniques, Proceedings

Volumn , Issue , 2012, Pages 95-100

  Gousias, Ioannis S ^a   Hammers, Alexander ^a,b   Counsell, Serena J ^a   Edwards, A David ^a   Rueckert, Daniel ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b CERMEP IMAGERIE DU VIVANT   (France)

Author keywords

brain atlases; brain segmentation; non rigid registration; parameters; Pediatric brain atlasing; priors; validation

Indexed keywords

BRAIN ATLAS; BRAIN SEGMENTATION; NONRIGID REGISTRATION; PARAMETERS; PRIORS; VALIDATION;

ALGORITHMS; IMAGE SEGMENTATION; IMAGING SYSTEMS;

PEDIATRICS;

EID: 84870658688     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IST.2012.6295511     Document Type: Conference Paper

References (40)

1. E. D. Burgund, H. C. Kang, J. E. Kelly, R. L. Buckner, A. Z. Snyder, S. E. Petersen, et al., "The feasibility of a common stereotactic space for children and adults in fMRI studies of development," Neuroimage, vol. 17, pp. 184-200, Sep 2002.
2. O. Muzik, D. C. Chugani, C. Juhasz, C. Shen, and H. T. Chugani, "Statistical parametric mapping: assessment of application in children," Neuroimage, vol. 12, pp. 538-49, Nov 2000.
3. A. C. Evans, D. L. Collins, S. R. Mills, E. D. Brown, R. L. Kelly, and T. M. Peters, "3D statistical neuroanatomical models from 305 MRI volumes," in Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference, 1993, pp. 1813-1817.
4. M. Wilke and S. K. Holland, "Variability of gray and white matter during normal development: a voxel-based MRI analysis," Neuroreport, vol. 14, pp. 1887-90, Oct 27 2003.
5. M. R. Hoeksma, J. L. Kenemans, C. Kemner, and H. van Engeland, "Variability in spatial normalization of pediatric and adult brain images," Clin Neurophysiol, vol. 116, pp. 1188-94, May 2005.
6. B. Machilsen, E. d'Agostino, F. Maes, D. Vandermeulen, H. K. Hahn, L. Lagae, et al., "Linear normalization of MR brain images in pediatric patients with periventricular leukomalacia," Neuroimage, vol. 35, pp. 686-97, Apr 1 2007.
7. M. Wilke, V. J. Schmithorst, and S. K. Holland, "Assessment of spatial normalization of whole-brain magnetic resonance images in children," Hum Brain Mapp, vol. 17, pp. 48-60, Sep 2002.
8. M. Wilke, S. K. Holland, M. Altaye, and C. Gaser, "Template-O-Matic: a toolbox for creating customized pediatric templates," Neuroimage, vol. 41, pp. 903-13, Jul 1 2008.
9. M. Wilke, V. J. Schmithorst, and S. K. Holland, "Normative pediatric brain data for spatial normalization and segmentation differs from standard adult data," Magn Reson Med, vol. 50, pp. 749-57, Oct 2003.
10. U. Yoon, V. S. Fonov, D. Perusse, and A. C. Evans, "The effect of template choice on morphometric analysis of pediatric brain data," Neuroimage, vol. 45, pp. 769-77, Apr 15 2009.
11. G. Dehaene-Lambertz, S. Dehaene, and L. Hertz-Pannier, "Functional neuroimaging of speech perception in infants," Science, vol. 298, pp. 2013-5, Dec 6 2002.
12. L. Srinivasan, R. Dutta, S. J. Counsell, J. M. Allsop, J. P. Boardman, M. A. Rutherford, et al., "Quantification of deep gray matter in preterm infants at term-equivalent age using manual volumetry of 3-tesla magnetic resonance images," Pediatrics, vol. 119, pp. 759-65, Apr 2007.
13. K. Kazemi, H. A. Moghaddam, R. Grebe, C. Gondry-Jouet, and F. Wallois, "A neonatal atlas template for spatial normalization of whole-brain magnetic resonance images of newborns: preliminary results," Neuroimage, vol. 37, pp. 463-73, Aug 15 2007.
14. M. Altaye, S. K. Holland, M. Wilke, and C. Gaser, "Infant brain probability templates for MRI segmentation and normalization," Neuroimage, vol. 43, pp. 721-30, Dec 2008.
15. R. Bajcsy, R. Lieberson, and M. Reivich, "A computerized system for the elastic matching of deformed radiographic images to idealised atlas images," J Comput Assist Tomogr, vol. 7, pp. 618-625, 1983.
16. M. Holden, J. A. Schnabel, and D. L. Hill, "Quantification of small cerebral ventricular volume changes in treated growth hormone patients using nonrigid registration," IEEE Trans Med Imaging, vol. 21, pp. 1292-301, Oct 2002.
17. D. V. Iosifescu, M. E. Shenton, S. K. Warfield, R. Kikinis, J. Dengler, F. A. Jolesz, et al., "An automated registration algorithm for measuring MRI subcortical brain structures," Neuroimage, vol. 6, pp. 13-25, Jul 1997.
18. M. I. Miller, G. E. Christensen, Y. Amit, and U. Grenander, "Mathematical textbook of deformable neuroanatomies," Proc Natl Acad Sci USA, vol. 90, pp. 11944-11948, 1993.
19. B. Fischl, A. van der Kouwe, C. Destrieux, E. Halgren, F. Segonne, D. H. Salat, et al., "Automatically parcellating the human cerebral cortex," Cereb Cortex, vol. 14, pp. 11-22, Jan 2004.
20. J. Wu and A. C. Chung, "A novel framework for segmentation of deep brain structures based on Markov dependence tree," Neuroimage, Mar 13 2009.
21. D. L. Collins, A. P. Zijdenbos, W. F. C. Baaré, and A. C. Evans, "ANIMAL+INSECT: Improved cortical structure segmentation," LNCS, vol. 1613, pp. 210-223, 1999.
22. J. L. Marroquin, B. C. Vemuri, S. Botello, F. Calderon, and A. Fernandez-Bouzas, "An accurate and efficient bayesian method for automatic segmentation of brain MRI," IEEE Trans Med Imaging, vol. 21, pp. 934-45, Aug 2002.
23. K. M. Pohl, J. Fisher, W. E. Grimson, R. Kikinis, and W. M. Wells, "A Bayesian model for joint segmentation and registration," Neuroimage, vol. 31, pp. 228-39, May 15 2006.
24. S. Powell, V. A. Magnotta, H. Johnson, V. K. Jammalamadaka, R. Pierson, and N. C. Andreasen, "Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures," Neuroimage, vol. 39, pp. 238-47, Jan 1 2008.
25. J. Ashburner and K. J. Friston, "Unified segmentation," Neuroimage, vol. 26, pp. 839-51, Jul 1 2005.
26. A. Hammers, M. J. Koepp, S. L. Free, M. Brett, M. P. Richardson, C. Labbé, et al., "Implementation and application of a brain template for multiple volumes of interest," Hum Brain Mapp, vol. 15, pp. 165-174, 2002.
27. I. S. Gousias, D. Rueckert, R. A. Heckemann, L. E. Dyet, J. P. Boardman, A. D. Edwards, et al., "Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest," Neuroimage, vol. 40, pp. 672-84, Apr 1 2008.
28. S. M. Smith, M. Jenkinson, M. W. Woolrich, C. F. Beckmann, T. E. Behrens, H. Johansen-Berg, et al., "Advances in functional and structural MR image analysis and implementation as FSL," Neuroimage, vol. 23 Suppl 1, pp. S208-19, 2004.
29. I. S. Gousias, A. Hammers, R. A. Heckemann, S. J. Counsell, L. E. Dyet, J. P. Boardman, et al., "Atlas selection strategy for automatic segmentation of pediatric brain MRIs into 83 ROIs," in Imaging Systems and Techniques (IST), 2010 IEEE International Conference, 2010, pp. 290-293.
30. J. Kittler, M. Hatef, R. P. W. Duin, and J. Matas, "On combining classifiers," IEEE Trans Pattern Anal Mach Intell, vol. 20, pp. 226-239, 1998.
31. L. R. Dice, "Measure of the amount of ecological association between species," Ecology, vol. 26, pp. 297-302, 1945.
32. A. Hammers, R. Allom, M. J. Koepp, S. L. Free, R. Myers, L. Lemieux, et al., "Three-dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe," Hum Brain Mapp, vol. 19, pp. 224-247, 2003.
33. A. Guimond, J. Meunier, and J. P. Thirion, "Average brain models: a convergence study," Comput Vis Image Underst, vol. 77, pp. 192-210, 2000.
34. D. Rueckert, A. F. Frangi, and J. A. Schnabel, "Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration," IEEE Trans Med Imaging, vol. 22, pp. 1014-25, Aug 2003.
35. Q. Wang, D. Seghers, E. D'Agostino, F. Maes, D. Vandermeulen, P. Suetens, et al., "Construction and validation of mean shape atlas templates for atlasbased brain image segmentation," Inf Process Med Imaging, vol. 19, pp. 689-700, 2005.
36. K. K. Bhatia, P. Aljabar, J. P. Boardman, L. Srinivasan, M. Murgasova, S. J. Counsell, et al., "Groupwise combined segmentation and registration for atlas construction," Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv, vol. 10, pp. 532-40, 2007.
37. K. K. Bhatia, J. Hajnal, A. Hammers, and D. Rueckert, "Similarity metrics for groupwise non-rigid registration," Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv, vol. 10, pp. 544-52, 2007.
38. R. A. Heckemann, J. V. Hajnal, P. Aljabar, D. Rueckert, and A. Hammers, "Automatic anatomical brain MRI segmentation combining label propagation and decision fusion," Neuroimage, vol. 33, pp. 115-26, Oct 15 2006.
39. J. S. Allen, J. Bruss, S. Mehta, T. Grabowski, C. K. Brown, and H. Damasio, "Effects of spatial transformation on regional brain volume estimates," Neuroimage, vol. 42, pp. 535-47, Aug 15 2008.
40. I. S. Gousias, D. A. Edwards, M. A. Rutherford, S. J. Counsell, J. V. Hajnal, D. Rueckert, et al., "Magnetic resonance imaging of the newborn brain: Manual segmentation of labelled atlases in term-born and preterm infants," NeuroImage, 2012 (in press).