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Technology and Innovation, Vol. 18, pp. 31-37, 2016               ISSN 1949-8241  • E-ISSN 1949-825X
          Printed in the USA. All rights reserved.                        http://dx.doi.org/10.21300/18.1.2016.31
          Copyright © 2016 National Academy of Inventors.                    www.technologyandinnovation.org







                             DIFFUSION IMAGING FIBER BUNDLES


                                                Song Zhang

                                   Computer Science and Engineering Department
                               Mississippi State University, Mississippi State, MS, USA

                      Diffusion imaging fiber bundles reconstructed from diffusion-weighted images reveal the shape
                      and size of neural fiber bundles in brain white matter. Further, the global connectivity infor-
                      mation in the diffusion imaging fiber bundles helps researchers examine the integrity of the
                      neural bundles and injury from diseases. In this paper, we review the background, the meth-
                      ods, and the applications of diffusion imaging fibers.
                      Key words: Diffusion imaging; Diffusion tensor; HARDI; Fiber bundles




          INTRODUCTION                                  can be done qualitatively with visualization or quan-
            Diffusion imaging (DI) is a type of magnetic res-  titatively with metrics on the fiber bundles. Figure 1
          onance imaging (MRI) that is widely used to probe   shows the pipeline for diffusion imaging fiber bundle
          the three dimensional structure of fibrous tissues,   analysis. In this paper, we review the key steps in the
          such as brain, heart, and muscle, in vivo (20). The   generation and analysis of diffusion imaging fiber
          method for reconstructing the fibrous structures from   bundles with applications in brain white matter.
          diffusion weighted images is called tractography (3),
          which tracks integral curves following the principal   DIFFUSION TENSOR IMAGING
          direction of diffusion. The resulting diffusion fibers     Diffusion imaging records the diffusion process of
          follow biological tissue fibers, such as the white matter   water molecules in biological tissues in vivo. Water
          pathways. These fibers can be further analyzed to   molecules in biological tissues engage in random
          understand anatomical structures, check structural   Brownian motion from collision with other atoms
          integrity, and study the effect of diseases on brain,   and molecules. The motion is restricted by micro-
          heart, and muscle. An important step in analyzing   structures in the tissues. For example, in white matter,
          diffusion fibers is to identify groups of fibers that   water diffuses faster along the axons but slower per-
          are relevant to the study from all the fibers. These   pendicular to axons because the motion is restricted
          are called tracts-of-interest (9). Manually selecting   by the tightly packed multiple myelin membranes
          these tracts is both time-consuming and error-prone.   encompassing axons (21). This phenomenon of dif-
          Hence, automatic fiber bundling methods have been   ferent diffusion rate in different directions is called
          proposed to group the diffusion fiber into fiber bun-  anisotropy, which can be captured by diffusion MRI
          dles. Once the fiber bundles are generated, analysis   to explore the white matter structures in vivo.
          _____________________
          Accepted December 10, 2015.
          Address correspondence to Song Zhang, Computer Science and Engineering Department, Mississippi State University, Box 9637, Mississippi
          State, MS 39762, USA. Tel: +1 (662) 325-7510; E-mail: szhang@cse.msstate.edu



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