TRADITIONAL POSTER - ismrm
TRADITIONAL POSTER - ismrm
TRADITIONAL POSTER - ismrm
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Poster Sessions<br />
correlation. Positive correlations of FA with task performance were also seen in white matter adjoining prefrontal and occipital areas for some tasks.<br />
Results support a dual-stream (dorsal and ventral) model of auditory comprehension.<br />
1559. The Effects of HIV and Hepatitis C Infection on Diffusion Tensor Imaging Measures<br />
Huiling Peng 1 , Jewell Thomas 1 , Joseph Mettenburg 2 , Avi Snyder 1 , Tammie Benzinger 2 , David Clifford 1 ,<br />
Robert Paul 3 , Beau Ances 4<br />
1 Neurology, Washington University in St. Louis, St. Louis, MO, United States; 2 Radiology, Washington University in St. Louis, St.<br />
Louis, MO, United States; 3 Psychology, University of Missouri St. Louis, St. Louis, MO, United States; 4 Neurology, Washington<br />
University in St. Louis, St. Louis, MO , United States<br />
Hepatitis C virus (HCV) is a frequent co-infection with HIV. Both affect brain function raising the possibility of synergistic interactions. We investigate the<br />
relationship between neurological function and white matter integrity using DTI in mono (HIV+) (n=15) vs. co-infected (HIV+/HCV+) (n=13) participants.<br />
Regions-of-interest corresponding to the cingulum and genu of the corpus callosum were selected. Co-infected participants were more impaired than monoinfected<br />
HIV+ subjects on neuropsychological testing but no significant differences were seen for DTI values. The combination of HIV and HCV coinfection<br />
affected measures within the brief neurocognitive screening but not structural neuroimaging measures.<br />
1560. Fractional Anisotropy in Various White and Gray Matter Regions in Adulthood. Dependence on Age<br />
and Comparison of Two DTI Sequences<br />
Jiøí Keller 1,2 , Aaron Michael Rulseh 1 , Michael Syka 1 , Josef Vymazal 1<br />
1 Nemocnice Na Homolce, Prague, Czech Republic; 2 3rd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic<br />
We measured FA in white and gray matter regions using two different DTI sequences (12 and 30 directions) in 23 healthy adult volunteers A number of<br />
white and gray matter regions were selected including basal ganglia and corpus callosum. The gray matter results were correlated with expected iron<br />
concentration. We detected a significant correlation between age and FA for both DTI sequences in the rostrum of the corpus callosum, anterior internal<br />
capsule and the pyramidal tract. A significant difference in FA between DTI sequences was detected in the basal ganglia where correlation between iron<br />
amount and FA was found.<br />
Diffusion: White Matter Modeling<br />
Hall B Tuesday 13:30-15:30<br />
1561. Optimized Diffusion MRI Protocols for Estimating Axon Diameter with Known Fibre Orientation<br />
Torben Schneider 1 , Henrik Lundell 2,3 , Tim B. Dyrby 2 , Daniel C. Alexander 4 , Claudia Angela Michela<br />
Wheeler-Kingshott 1<br />
1 NMR Unit, Department of Neuroinflammation, UCL Institute of Neurology, London, United Kingdom; 2 Danish Research Centre for<br />
Magnetic Resonance, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark; 3 Department of Excercise and Sport<br />
Sciences, University of Copenhagen, Copenhagen, Denmark; 4 Centre for Medical Image Computing, Department of Computer<br />
Science, UCL, London, United Kingdom<br />
We present a method that optimizes diffusion MRI protocols to be sensitive to axon diameter and axonal density in white matter structures with known<br />
single fibre direction. Computer simulations clearly show that our method improves accuracy of measurements compared to protocols independent of fibre<br />
orientation, especially when signal-to-noise-ratio is low. Furthemore, we generate indices of axon diameter and density from a fixated monkey spinal cord<br />
and are able to discriminate anatomically different white matter regions.<br />
1562. In Vivo Mapping of Relative Axonal Diameter of Human Corpus Callosum Using Q-Planar Magnetic<br />
Resonance Imaging<br />
Jun-Cheng Weng 1,2 , Wen-Yih Iascc Tseng 1,3<br />
1 Center for Optoelectronic Biomedicine, National Taiwan University College of Medicine, Taipei, Taiwan; 2 Department of Medical<br />
Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan; 3 Department of Medical Imaging, National<br />
Taiwan University Hospital, Taipei, Taiwan<br />
The corpus callosum (CC) is the main fiber tract connecting bilateral cerebral hemispheres, serving information transfer and processing in various cognitive<br />
functions. In view of the topographically-specific relation between callosal regions and the connected cortical regions, several partitioning approaches have<br />
been proposed to allow separate analysis of different callosal sectors. Vertical partitions are commonly used which subdivide the CC into five regions based<br />
on fractions of its maximal anterior-posterior length as proposed by Wiltelson. These regions might be affected differently in the development of disease,<br />
and their structural parameters such as size and shape might associate with cognitive or functional tests involved in different modes of interhemispheric<br />
interactions. This study proposed a novel technique, q-planar imaging (QPI) to map the relative axonal diameters of CC in normal human brain. It was based<br />
on the Fourier relationship between probability density function (PDF) of the water molecular diffusion and sampled diffusion attenuated images in the<br />
space of spatial modulation, dubbed q-space. It provided MR images in which physical parameters of water diffusion such as the mean displacement and the<br />
probability at zero displacement of water molecules were used as image contrast. Our results demonstrated that QPI produced reasonable distribution of<br />
relative axonal diameters of CC in normal human brain.<br />
1563. The Extracellular Diffusion Weighted Signal Predicts Axon Diameter Distribution Parameters<br />
Hubert Martinus Fonteijn 1 , Matt G. Hall 1 , Daniel C. Alexander 1<br />
1 Computer Science, Centre for Medical Image Computing, London, United Kingdom<br />
The estimation of axon diameter distribution parameters remains a big challenge for diffusion-weighted imaging. Generally, only intracellular diffusion is<br />
considered to be influenced by axon diameter. Extracellular diffusion on the other hand is considered to be approximately Gaussian in the long diffusion<br />
time limit and to be independent of axon diameter. In this abstract, we perform Monte Carlo simulations of diffusion in the extracellular compartment for a