Abstract
Diffusion Tensor Imaging (DTI) is becoming a routine magnetic resonance technique to study white matter properties and alterations of fiber integrity due to pathology. The advanced MRI technique needs postprocessing by adequate image processing and visualization tools. Analysis of DTI in clinical studies so far use manual definition of regions or interest or image matching followed by voxel-based analysis. This paper presents a novel concept that extracts major fiber bundles by tractography and provides a statistical analysis of diffusion properties along fibers, i.e. geodesic paths within the three-dimensional brain image. Fiber tracing thus serves as a sophisticated, efficient method for defining complex regions of interests along major fiber tracts not accessible otherwise. Fiber bundles extracted from a set of subjects are parametrized by arc-length and mapped to a common coordinate system centered at well-defined anatomical landmarks. The description of the methodology is guided by the example of measuring diffusion properties along the left and right cingulate. We also present preliminary results from an ongoing clinical neonatal study that studies early brain development.
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Basser, P.J., Mattiello, J., Le Bihan, D.: Estimation of the effective self-diffusion tensor from the nmr spin echo. Journal of Magnetic Resonance in Imaging JMRI 103 (1994)
Basser, P.J., Pierpaoli, C.: Microstructural and physiological features of tissues elucidated by quantitative diffusion tensor mri. Journal of Magnetic Resonance Imaging (JMRI) 111, 209–219 (1996)
Zhai, G., Lin, W., Wilber, K., Gerig, G., Gilmore, J.H.: Comparison of regional white matter diffusion in healthy neonates and adults using a 3t head-only mr scanner. Radiology (2003) ( in print)
Lim, K.O., Hedehus, M., Moseley, M., De Crespigny, A., Sullivan, E.V., Pfefferbaum, A.: Compromised white matter tract integrity in schizophrenia inferred from diffusion tensor imaging. Arch. Gen. Psychiatry 56, 367–374 (1999)
Xu, D., Mori, S., Solaiyappan, M., van Zijl, P.C.M., Davatzikos, C.: A framework for callosal fiber distribution analysis. NeuroImage 17, 1131–1143 (2002)
Westin, C.F., Maier, S.E., Mamata, H., Nabavi, A., Jolesz, F.A., Kikinis, R.: Processing and visulaization for diffusion tensor mri. Medical Image Analysis 6, 93–108 (2002)
National Library of Medicine NLM. Insight Toolkit ITK, (2002), http://www.itk.org
Ding, Z., Gore, J.C., Anderson, A.: Case study: Reconstruction, visualization, and quantification of neuronal fiber pathways. In: Proceedings IEEE Visualization, pp. 453–456. IEEE, Los Alamitos (2001)
Hüppi, P.S., Maier, S.E., Peled, S., Zientara, G.P., Barnes, P.D., Jolesz, F.A., Volpe, J.J.: Microstructural development of human newborn cerebral white matter assessed in vivo by diffusion tensor magnetic resonance imaging. Pediatrics 44, 584–590 (1998)
Hüppi, P.S., Warfield, S., Kikinis, R., Barnes, P.D., Zientara, G.P., Jolesz, F.A., Tsuji, M.K., Volpe, J.J.: Quantitative magnetic resonance imaging of brain development in premature and normal newborns. Ann. Neurol. 43, 224–235 (1998)
Neil, J.J., Shiran, S.I., McKinstry, R.C., Schefft, G.L., Snyder, A.Z., Almli, C.R., Akbudak, E., Aronovitz, J.A., Miller, J.P., Lee, B.C.P., Conturo, T.E.: Normal brain in human newborns: apparent diffusion coefficient and diffusion anisotropy measured by using diffusion tensor mr imaging. Radiology 209, 57–66 (1998)
Schmithorst, V.J., Wilke, M., Dardzinski, B.J., Holland, S.K.: Correlation of white matter diffusivity and anisotropy with age during childhood and adolescence: a cross-sectional diffusion-tensor mr imaging study. Radiology 222, 121–218 (2002)
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Fillard, P., Gilmore, J., Piven, J., Lin, W., Gerig, G. (2003). Quantitative Analysis of White Matter Fiber Properties along Geodesic Paths. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39903-2_3
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DOI: https://doi.org/10.1007/978-3-540-39903-2_3
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