Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants

详细信息    查看全文

• 作者：Gang Li (21)
  Li Wang (21)
  Feng Shi (21)
  Weili Lin (21)
  Dinggang Shen (21)
  
• 关键词：Infant cortical surface ; longitudinal cortical surface labeling
• 刊名：Lecture Notes in Computer Science
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：8149
• 期：1
• 页码：66-73
• 全文大小：3011KB
• 参考文献：1. Li, G., Nie, J., Wang, L., et al.: Mapping Region-Specific Longitudinal Cortical Surface Expansion from Birth to 2 Years of Age. Cereb. Cortex. (2012)
  2. Hill, J., Dierker, D., Neil, J., et al.: A surface-based analysis of hemispheric asymmetries and folding of cerebral cortex in term-born human infants. J. Neurosci.聽30, 2268鈥?276 (2010) CrossRef
  3. Reuter, M., Schmansky, N.J., Rosas, H.D., Fischl, B.: Within-subject template estimation for unbiased longitudinal image analysis. Neuroimage聽61, 1402鈥?418 (2012) CrossRef
  4. Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Trans. PAMI聽26, 1124鈥?137 (2004) CrossRef
  5. Dai, Y., Shi, F., Wang, L., Wu, G., Shen, D.: iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing. Neuroinformatics (2012)
  6. Fischl, B., Sereno, M.I., Dale, A.M.: Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system. Neuroimage聽9, 195鈥?07 (1999) CrossRef
  7. Yeo, B.T., Sabuncu, M.R., Vercauteren, T., et al.: Spherical demons: fast diffeomorphic landmark-free surface registration. IEEE Trans. Med. Imaging聽29, 650鈥?68 (2010) CrossRef
  8. Desikan, R.S., Segonne, F., Fischl, B., et al.: An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage聽31, 968鈥?80 (2006) CrossRef
  9. Sabuncu, M.R., Yeo, B.T., Van Leemput, K., et al.: A generative model for image segmentation based on label fusion. IEEE Trans. Med. Imaging聽29, 1714鈥?729 (2010) CrossRef
  
• 作者单位：Gang Li (21)
  Li Wang (21)
  Feng Shi (21)
  Weili Lin (21)
  Dinggang Shen (21)
  
  21. Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC, USA
  
• ISSN：1611-3349

文摘

Accurate and consistent labeling of longitudinal cortical surfaces is essential to understand the early dynamic development of cortical structure and function in both normal and abnormal infant brains. In this paper, we propose a novel method for simultaneous, consistent, and unbiased labeling of longitudinal dynamic cortical surfaces in the infant brain MR images. The proposed method is formulated as minimization of an energy function, which includes the data fitting, spatial smoothness and temporal consistency terms. Specifically, in the spirit of multi-atlas based label fusion, the data fitting term is designed to integrate adaptive contributions from multi-atlas surfaces, according to the similarity of their local cortical folding with that of the subject surface. The spatial smoothness term is designed to adaptively encourage label smoothness based on the local folding geometries, i.e., also allowing label discontinuity at sulcal bottoms, where the cytoarchitecturally and functionally distinct cortical regions are often divided. The temporal consistency term is further designed to encourage the label consistency between temporal corresponding vertices with similar local cortical folding. Finally, the entire energy function is efficiently minimized by a graph cuts method. The proposed method has been successfully applied to the labeling of longitudinal cortical surfaces of 13 infants, each with 6 serial images scanned from birth to 2 years of age. Both qualitative and quantitative evaluation results demonstrate the validity of the proposed method.