TRADITIONAL POSTER - ismrm

Poster Sessions
1984. Reduced Hippocampal Body Functional Connectivity in Gulf War Illness
Yan Fang 1 , Luo Ouyang 1 , Cybeles Onuegbulem 2 , Aman Goyal 1 , Lei Jiang 1 , Parina Gandhi 1 , Sandeep
Ganji 1 , Wendy Ringe 2 , Kaundinya Gopinath 1,3 , Richard Briggs 1,3 , Robert Haley 3
1 Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States; 2 Department of Psychiatry, UT Southwestern
Medical Center, Dallas, TX, United States; 3 Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United
States
Memory loss is a common complaint among veterans with Gulf War Illness (GWI), and preliminary studies have documented hippocampal dysfunction in
GWI. Abnormal functional connectivity to hippocampus has also been observed in various other diseased populations. This study used resting state or
functional connectivity MRI (fcMRI) to examine functional connectivity of the hippocampus in GWI subjects. GWI veterans exhibited significantly reduced
connectivity to left and right hippocampal body in a number of brain regions, indicating disruption of hippocampal networks and/or damage to hippocampus
in GWI.
1985. neuGRID: A GRID-Based E-Infratructure for Data Archiving, Communication and Computationally
Intensive Applications in the Medical Sciences
Keith S. Cover 1 , Frederik Barkhof 1 , Alex Zijdenbos 2 , Christian Spenger 2 , Richard McClatchey 3 , David
Manset 4 , Lars-Olof Wahlund 5 , Yannick Legre 6 , Tony Solomonides 6 , Giovanni B. Frisoni 7
1 VU University Medical Center, Amsterdam, Netherlands; 2 Prodema Medical; 3 University of the West of England; 4 MAAT G
Knowledge SL; 5 Karolinska Institutet; 6 HealthGrid; 7 Fatebenefratelli
neuGRID is developing a new user-friendly Grid-based research e-Infrastructure enabling the European neuroscience community to carry out computer
intensive research required for the pressing study of degenerative brain diseases (for example, the Alzheimer disease). In neuGRID, the archiving of large
amounts of imaging data is paired with hundreds of CPU’s and a variety of software packages. Neuroscientists will be able to identify neurodegenerative
disease markers through the analysis of 3D magnetic resonance brain images via the provision of sets of distributed medical and GRID services. The
infrastructure is designed to be expandable to services for other medical applications and is compliant with EU and international standards regarding data
collection, data management, and Grid construction.
1986. Accurate Mapping of Brains with Severe Atrophy Based on Multi-Channel Non-Linear
Transformation
Aigerim Djamanakova 1 , Andreia V. Faria 2 , Kenichi Oishi 2 , Xin Li 2 , Kazi Akhter 2 , Laurent Younes 3,4 , Peter
van Zijl 2,5 , Michael Ira Miller 3 , Susumu Mori 2
1 Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, United States; 2 Radiology, Johns Hopkins University,
Baltimore, MD, United States; 3 Center for Imaging Science, The Johns Hopkins University, Baltimore, MD, United States; 4 Applied
Mathematics & Statistics, Johns Hopkins University, Baltimore, MD, United States; 5 F.M. Kirby Center for Functional Magnetic
Resonance Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
We used Large Deformation Diffeomorphic Metric Mapping in order to improve the registration of brains with enlarged ventricles from patients with
Alzheimer's disease . By employing a second channel of information comprised of the lateral ventricle segmentation maps, obtained semi-automatically and
automatically, we were able to increase the accuracy of the mappings. The degree of accuracy was calculated by comparing the results of the manual
segmentation of lateral ventricles and a neighboring structure, lingual gyrus, with the single and dual-channel registration-based segmentation. This
approach can be a powerful tool for improving registration of images.
1987. Optimization of the MPRAGE Sequence for Fully Automatic Brain Volumetry and a Comparison of
Reproducibility Between Two Different Phased Array Receiver Head Coils at 3 T
Love Erlandsson Nordin 1,2 , Leif Svensson 1,2 , Per Julin 3,4 , Susanne Müller 5 , Terri Louise Lindholm 1,2
1 Medical Physics, Karolinska University Hospital Huddinge, Stockholm, Sweden; 2 SMILE Image Laboratory, Karolinska University
Hospital Huddinge, Stockholm, Sweden; 3 AstraZeneca R&D Neuroscience, Södertälje, Sweden; 4 Clinical Geriatrics, Karolinska
University Hospital Huddinge, Stockholm, Sweden; 5 Radiology, Karolinska University Hospital Huddinge, Stockholm, Sweden
The aim of this study has been to optimize the contrast parameters of the MPRAGE sequence for fully automatic brain tissue segmentation. The goal has
been to achieve as reliable and reproducible volumetric measurements of the human brain as possible. The optimization was carried out on a 3 T MRI unit
using 2 different multi array head coils (12 and 32 channels) and 9 healthy young volunteers. The study also includes a comparison of the reproducibility in
measurement between the two head coils. The results show that it is possible to achieve good reproducibility in measurement for the total brain volume and
the 12 channel head coil gives slightly more reproducible results.
1988. A Population-Based Template for High-Dimensional Normalization of Postmortem Human Brains
from Elderly Subjects
Robert John Dawe 1 , David A. Bennett 2 , Julie A. Schneider 2 , Konstantinos Arfanakis 1
1 Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States; 2 Rush Alzheimer's Disease
Center, Rush University Medical Center, Chicago, IL, United States
Postmortem MRI of the human brain offers several advantages over in vivo imaging. For example, histological analysis can be performed following the MR
scan, allowing for verification of imaging findings and testing of new MRI diagnostic techniques. Spatial transformation of individual postmortem brain
MRI volumes to a common reference would facilitate voxel-based investigations, which would provide information throughout the brain in a timely manner
and without user bias, in contrast to ROI-based analyses. In this work, population-based methods were used to create an MRI template that is suitable for
high dimensional spatial normalization of postmortem human cerebral hemispheres.