Diffusion Tensor Imaging: Introduction and Atlas by Dr. Bram Stieltjes, Prof. Dr. Romuald M. Brunner, Dr. Klaus

By Dr. Bram Stieltjes, Prof. Dr. Romuald M. Brunner, Dr. Klaus H. Fritzsche, Dr. Frederik B. Laun (auth.)

Diffusion Tensor Imaging (DTI) is a edition of diffusion-weighed imaging. quite within the neurosciences, this method has won super momentum long ago decade, either from a technical perspective in addition to in its purposes. DTI is especially utilized in neurological analysis and psychiatric and neurologic examine, e.g. as a way to find mind tumors and depict their invasivity.

DTI deals a distinct in-vivo perception into the 3-dimensional constitution of the human principal worried approach. whereas effortless interpretation and overview is frequently hampered by way of the complexity of either the procedure and neuroanatomy, this atlas is helping you know each one of the real constructions speedily and unambiguously.

In the advent, this atlas offers a concise define of the evolution of diffusion imaging and describes its power functions. within the middle a part of the atlas, the neuroanatomically very important buildings are essentially classified either on DTI-derived colour maps and standard MRI. advanced fiber structure is illustrated schematically and defined concisely in textboxes at once at the proper web page. within the ultimate a part of the atlas, a simple, step by step method for the 3-dimensional reconstruction of the main popular fiber constructions is given, and capability pitfalls are indicated.

The atlas goals at neuroscientists, neuroanatomists, neurologists, psychiatrists, medical psychologists, physicists, and machine scientists. For complex clients, the atlas might function a reference paintings, whereas scholars and scientists are completely brought into DTI.

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Magn Reson Med 31: 394–400 Beaulieu C, Allen PS (1994) Water diffusion in the giant axon of the squid: implications for diffusion-weighted MRI of the nervous system. Magn Reson Med 32: 579–583 Bernstein MA, King KF, Zhou XJ (2004) Handbook of MRI Pulse Sequences. Elsevier Academic Press, Burlington MA Black IB, DiCicco-Bloom E, Dreyfus CF (1990) Nerve growth factor and the issue of mitosis in the nervous system. Curr Top Dev Biol 24: 161– 192 Boretius S, Wurfel J, Zipp F, Frahm J, Michaelis T (2007) High-field diffusion tensor imaging of mouse brain in vivo using single-shot STEAM MRI.

21). Fourth, increase the SNR, for instance, by decreasing resolution and/or increasing slice thickness, or avoid reducing the field of view (FOV) in phase direction (7 Sect. 2). 5 μm isotropic) is prone to low SNRs. Thus, when high-resolution images are to be acquired, it is especially necessary to check the SNR in the diffusion-weighted images. Fifth, a range of b-values can be acquired, and the estimation of the diffusion coefficient can be improved by introducing a noise parameter. The sixth choice is no choice: it should not be attempted to increase SNR by averaging the diffusion-weighted images, at least not if no elaborate phase correction technique is used.

50]. Since most white matter in neonates is unmyelinated, the T1-weighted image of a 2-week-old infant exhibits low intensity relative to gray matter. When myelination progresses, white matter T1-time decreases and, accordingly, signal intensity rises over time (. Fig. 26, top row). Fiber tracking results are in agreement with the gradual increase of white matter myelination seen on the T1-weighted images (. Fig. 26, bottom row). As can be shown from this image, there is a progressive increase in the amount of fibers reconstructed.

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