Abstract
Accurate segmentation of the brain MR images plays an important role in investigation of neurodegenerative changes in the cerebral cortex. However, most of the previous algorithms were proposed for segmentation of 3D images and few studies have taken the temporal consistency of cortical-thickness changes into account during the longitudinal studies. In this paper, we propose a 4D segmentation framework for the adult brain MR images with consistent longitudinal cortical thickness changes. Specifically, we utilize local intensity information to address the intensity inhomogeneity, spatial cortical thickness constraint to maintain the cortical thickness within a reasonable range, and temporal cortical thickness constraint to ensure the cortical thickness at the current time-point to be temporally consistent with thicknesses in the neighboring time-points. The proposed method has been tested on BLSA dataset and ADNI dataset. Both qualitative and quantitative experimental results demonstrate the accuracy and consistency of the proposed method, in comparison to other state-of-the-art 4D segmentation methods.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Xue, Z., Shen, D., Davatzikos, C.: CLASSIC: consistent longitudinal alignment and segmentation for serial image computing. Neuroimage 30(2), 388–399 (2006)
Reuter, M., Fischl, B.: Avoiding asymmetry-induced bias in longitudinal image processing. NeuroImage 57(1), 19–21 (2011)
Li, G., et al.: Consistent reconstruction of cortical surfaces from longitudinal brain MR images. NeuroImage 59(4), 3805–3820 (2012)
Wolz, R., et al.: Measurement of hippocampal atrophy using 4d graph-cut segmentation: Application to Adni. NeuroImage 52(1), 109–118 (2010)
Li, Y., Wang, Y., Xue, Z., Shi, F., Lin, W., Shen, D., The Alzheimer’s Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010, Part II. LNCS, vol. 6362, pp. 133–142. Springer, Heidelberg (2010)
Thompson, P.M., et al.: Abnormal cortical complexity and thickness profiles mapped in williams syndrome. J. Neurosci. 25(16), 4146–4158 (2005)
MacDonald, D., et al.: Automated 3-d extraction of inner and outer surfaces of cerebral cortex from MRI. NeuroImage 12(3), 340–356 (2000)
Salat, D.H., et al.: Thinning of the cerebral cortex in aging. Cerebral Cortex 14(7), 721–730 (2004)
Wang, L., Shi, F., Yap, P.-T., Gilmore, J.H., Lin, W., Shen, D.: Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images. In: Liu, T., Shen, D., Ibanez, L., Tao, X. (eds.) MBIA 2011. LNCS, vol. 7012, pp. 93–101. Springer, Heidelberg (2011)
Wang, L., et al.: Longitudinally guided level sets for consistent tissue segmentation of neonates. Human Brain Mapping (2011)
Wang, L., et al.: Automatic segmentation of neonatal images using convex optimization and coupled level sets. NeuroImage 58, 805–817 (2011)
Li, C., et al.: Implicit active contours driven by local binary fitting energy. In: CVPR, pp. 1–7 (2007)
Zeng, X., et al.: Segmentation and measurement of the cortex from 3D MR images using coupled surfaces propagation. TMI 18(10), 100–111 (1999)
Goldenberg, R., Kimmel, R., Rivlin, E., Rudzsky, M.: Cortex segmentation: a fast variational geometric approach. IEEE Trans. Med. Imag. 21(2), 1544–1551 (2002)
Fischl, B., Dale, A.M.: Measuring the thickness of the human cerebral cortex from magnetic resonance images. PNAS 97(20), 11050–11055 (2000)
Shen, D., Davatzikos, C.: Measuring temporal morphological changes robustly in brain MR images via 4-dimensional template warping. NeuroImage 21(4), 1508–1517 (2004)
Resnick, S.M., et al.: One-year age changes in mri brain volumes in older adults. Cerebral Cortex 10(5), 464–472 (2000)
Holland, D., et al.: Subregional neuroanatomical change as a biomarker for alzheimer’s disease. PNAS (2009)
Fjell, A.M., et al.: High consistency of regional cortical thinning in aging across multiple samples. Cerebral Cortex 19(9), 2001–2012 (2009)
Fjell, A.M., et al.: One-year brain atrophy evident in healthy aging. The Journal of Neuroscience 29(48), 15223–15231 (2009)
Aganj, I., et al.: Measurement of cortical thickness from mri by minimum line integrals on soft-classified tissue. Human Brain Mapping 30(10), 3188–3199 (2009)
Haidar, H., Soul, J.: Measurement of cortical thickness in 3d brain mri data: Validation of the laplacian method. Neuroimage 16, 146–153 (2006)
Han, X.: et al.: Cortical surface reconstruction using a topology preserving geometric deformable model. In: MMBIA, pp. 213–220 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, L., Shi, F., Li, G., Shen, D. (2012). 4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement. In: Durrleman, S., Fletcher, T., Gerig, G., Niethammer, M. (eds) Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data. STIA 2012. Lecture Notes in Computer Science, vol 7570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33555-6_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-33555-6_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33554-9
Online ISBN: 978-3-642-33555-6
eBook Packages: Computer ScienceComputer Science (R0)