4D Segmentation of Brain MR Images with Constrained Cortical Thickness Variation

PLoS ONE

Volumn 8, Issue 7, 2013, Pages

  Wang, Li ^a   Shi, Feng ^a   Li, Gang ^a   Shen, Dinggang ^a,b  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b Korea University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

AGING; ALZHEIMER DISEASE; ARTICLE; COGNITIVE DEFECT; CONTROLLED STUDY; CORTICAL THICKNESS (BRAIN); DISEASE COURSE; DISEASE SEVERITY; FOUR DIMENSIONAL BRAIN IMAGE SEGMENTATION; HUMAN; IMAGE PROCESSING; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; NEUROANATOMY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; VALIDATION PROCESS;

AGED; ALGORITHMS; BRAIN MAPPING; CASE-CONTROL STUDIES; CEREBRAL CORTEX; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MILD COGNITIVE IMPAIRMENT;

EID: 84879772535     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0064207     Document Type: Article

References (42)

1. SPM8 website. Available: http://www.fil.ion.ucl.ac.uk/spm/software/spm8. Accessed 2013 Apr 16.
2. Fast website. Available: http://fsl.fmrib.ox.ac.uk/fslcourse/lectures/practicals/seg_struc/#fast. Accessed 2013 Apr 16.
3. Fantasm website. Available: http://mipav.cit.nih.gov/pubwiki/index.php/Task_3, _Segmenting_the_original_image. Accessed 2013 Apr 16.
4. BrainSuite website. Available: http://brainsuite.loni.ucla.edu/processing/surfaceextraction/pvc/. Accessed 2013 Apr 16.
5. TOADS-CRUISE website. Available: http://www.nitrc.org/projects/toads-cruise. Accessed 2013 Apr 16.
6. Xue Z, Shen D, Davatzikos C, (2006) Classic: Consistent longitudinal alignment and segmentation for serial image computing. NeuroImage 30: 388-399.
7. Reuter M, Fischl B, (2011) Avoiding asymmetry-induced bias in longitudinal image processing. NeuroImage 57: 19-21.
8. Li G, Nie J, Wu G, Wang Y, Shen D, (2012) Consistent reconstruction of cortical surfaces from longitudinal brain MR images. NeuroImage 59: 3805-3820.
9. Wolz R, Heckemann RA, Aljabar P, Hajnal JV, Hammers A, et al. (2010) Measurement of hippocampal atrophy using 4d graph-cut segmentation: Application to adni. NeuroImage 52: 109-118.
10. Li Y, Wang Y, Xue Z, Shi F, Lin W, et al. (2010) Consistent 4d cortical thickness measurement for longitudinal neuroimaging study. In: Medical Image Computing and Computer-Assisted Intervention C MICCAI 2010, volume 6362 of Lecture Notes in Computer Science. 133-142.
11. Thompson PM, Lee AD, Dutton RA, Geaga JA, Hayashi KM, et al. (2005) Abnormal cortical complexity and thickness profiles mapped in williams syndrome. The Journal of Neuroscience 25: 4146-4158.
12. von Economo C (1929) The cytoarchitectonics of the human cerebral cortex. London: Oxford University Press.
13. Rockel A, Hiorns R, Powel T, (1980) The basic uniformity in structure of the neocortex. Brain 103: 221-224.
14. Henery C, Mayhew T, (1989) The cerebrum and cerebellum of the fixed human brain: efficient and unbiased estimates of volumes and cortical surfaces areas. J Anat 167: 167-180.
15. Zeng X, Staib L, Schultz R, Duncan J, (1999) Segmentation and measurement of the cortex from 3D MR images using coupled surfaces propagation. IEEE Trans Med Imag 18: 100-111.
16. Goldenberg R, Kimmel R, Rivlin E, Rudzsky M, (2002) Cortex segmentation: a fast variational geometric approach. IEEE Trans Med Imag 21: 1544-1551.
17. Salat DH, Buckner RL, Snyder AZ, Greve DN, Desikan RS, et al. (2004) Thinning of the cerebral cortex in aging. Cerebral Cortex 14: 721-730.
18. Wang L, Shi F, Yap PT, Lin W, Gilmore JH, et al. (2013) Longitudinally guided level sets for consistent tissue segmentation of neonates. Human Brain Mapping 34: 956-972.
19. Wang L, Shi F, Lin W, Gilmore JH, Shen D, (2011) Automatic segmentation of neonatal images using convex optimization and coupled level sets. NeuroImage 58: 805-817.
20. UNC-Atlas website. Available: http://www.nitrc.org/projects/unc_brain_atlas/. Accessed 2013 Apr 16.
21. Li C, Kao C, Gore J, Ding Z (2007) Implicit active contours driven by local binary fitting energy. In: CVPR. 1-7.
22. Fischl B, Dale AM, (2000) Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proceedings of the National Academy of Sciences 97: 11050-11055.
23. MacDonald D, Kabani N, Avis D, Evans AC, (2000) Automated 3-d extraction of inner and outer surfaces of cerebral cortex from MRI. NeuroImage 12: 340-356.
24. Han X, Pham DL, Tosun D, Rettmann ME, Xu C, et al. (2004) Cruise: Cortical reconstruction using implicit surface evolution. NeuroImage 23: 997-1012.
25. Shen D, Davatzikos C, (2004) Measuring temporal morphological changes robustly in brain MR images via 4-dimensional template warping. NeuroImage 21: 1508-1517.
26. Sled J, Zijdenbos A, Evans A, (1998) A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE TMI 17: 87-97.
27. Shi F, Wang L, Gilmore JH, Lin W, Shen D (2011) Learning-based meta-algorithm for mri brain extraction. In: Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention- Volume Part III. MICCAI'11, 313-321.
28. Chan T, Vese L, (2001) Active contours without edges. IEEE TIP 10: 266-277.
29. Sethian J (1999) Level Set Methods and Fast Marching Methods. Cambridge University Press, Cambridge.
30. Karacali B, Davatzikos C, (2004) Estimating topology preserving and smooth displacement fields. Medical Imaging, IEEE Transactions on 23: 868-880.
31. Resnick SM, Goldszal AF, Davatzikos C, Golski S, Kraut MA, et al. (2000) One-year age changes in mri brain volumes in older adults. Cerebral Cortex 10: 464-472.
32. Holland D, Brewer JB, Hagler DJ, Fenema-Notestine C, Dale AM, et al. (2009) Subregional neu- roanatomical change as a biomarker for alzheimer's disease. Proceedings of the National Academy of Sciences.
33. Fjell AM, Westlye LT, Amlien I, Espeseth T, Reinvang I, et al. (2009) High consistency of regional cortical thinning in aging across multiple samples. Cerebral Cortex 19: 2001-2012.
34. Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, et al. (2002) Automated anatomical labeling of activations in spm using a macroscopic anatomical parcellation of the mni mri single-subject brain. NeuroImage 15: 273-289.
35. Sisodiya S, Free S, Fish D, Shorvon S, (1996) Mri-based surface area estimates in the normal adult human brain: evidence for structural organisation. J Anat 188: 425-438.
36. Wu G, Wang Q, Jia H, Shen D (2010) Registration of longitudinal image sequences with implicit template and spatial-temporal heuristics. In: MICCAI 2010, volume 6362 of Lecture Notes in Computer Science. 618-625.
37. Jones SE, Buchbinder BR, Aharon I, (2000) Three-dimensional mapping of cortical thickness using laplaces equation. Human Brain Mapping 11: 12-32.
38. Acosta O, Bourgeat P, Zuluaga MA, Fripp J, Salvado O, et al. (2009) Automated voxel-based 3d cortical thickness measurement in a combined lagrangianceulerian pde approach using partial volume maps. Medical Image Analysis 13: 730-743.
39. Cardoso MJ, Clarkson MJ, Modat M, Ourselin S, (2011) Longitudinal cortical thickness estimation using khalimsky's cubic complex. In: MICCAI (2): 467-475.
40. Aganj I, Sapiro G, Parikshak N, Madsen SK, Thompson PM, (2009) Measurement of cortical thickness from mri by minimum line integrals on soft-classified tissue. Human Brain Mapping 30: 3188-3199.
41. Haidar H, Soul J, (2006) Measurement of cortical thickness in 3d brain mri data: Validation of the laplacian method. Neuroimage 16: 146-153.
42. Han X, Xu C, Tosun D, Prince J (2001) Cortical surface reconstruction using a topology preserving geometric deformable model. In: Mathematical Methods in Biomedical Image Analysis, 2001. MMBIA 2001. IEEE Workshop on. 213-220.