Electronic Posters: Neuroimaging - ismrm

14:00 4251. Findings of Nonlinear Behaviors of Log-Signal Intensities on DTI in Patients with
Alzheimer¡¯s Disease
Geon-Ho Jahng 1 , Songfan Xu 2 , Chang-Woo Ryu 1 , Dal-Mo Yang 1 , Dong-Wook Sung 3 ,
Dong Ho Lee 3 , Seungjoon Park 4
1 Radiology, East West Neo Medical Center, Kyung Hee University, Seoul, Korea, Republic of; 2 Biomedical
Science, Graduate School of Medicine, Kyung Hee University, Seoul, Korea, Republic of; 3 Radiology, KHU
Hospital, Kyung Hee University, Seoul, Korea, Republic of; 4 Pharmacology and and Biomedical Science,
School of Medicine, Kyung Hee University, Seoul, Korea, Republic of
Proposing Calculation of Voxel-based B-values on DTI in Patients with Alzheimer’s Disease
14:30 4252. Early and Late Onset Alzheimer’s Disease Patients Have Distinct Patterns of White
Matter Damage
Elisa Canu 1 , Federica Agosta 1 , Michela Pievani 1,2 , Giovanni B. Frisoni 3 , Massimo
Filippi 1
1 Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Scientific
Institute and University Hospital San Raffaele, Milan, Italy; 2 LENITEM, IRCCS S.Giovanni di Dio,
Fatebenefratelli, Brescia, Italy; 3 LENITEM, IRCCS Centro San Giovanni di Dio - FatebenefratelliIRCCS
Centro San Giovanni di Dio, Fatebenefratell, Brescia, Italy
SPM5 and the DARTEL method were used to perform a VBM analysis to assess WM differences in 14 early onset AD (EOAD) and
15 late onset AD (LOAD) vs. age- and gender-matched healthy controls (HC). Compared to HC, in EOAD patients, WM loss was
mapped mainly to the posterior regions such as the posterior cingulum and the lateral parietal regions, bilaterally. In LOAD patients,
WM loss was confined to the medial temporal lobe in the parahippocampal regions. Our findings indicate that EOAD and LOAD
patients differ in the topography of WM damage, which reflects the pattern of cortical loss.
15:00 4253. The Diffusivity Pattern of White Matter Degeneration in Semantic Dementia Is
Spatially and Qualitatively Different from Alzheimer's Disease
Julio Acosta-Cabronero 1 , George Pengas 2 , Guy B. Williams 1 , Peter J. Nestor 2
1 Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge,
Cambridgeshire, United Kingdom; 2 Neurology Unit, Department of Clinical Neurosciences, University of
Cambridge, Cambridge, Cambridgeshire, United Kingdom
The diffusion profile in semantic dementia (SD) was studied to examine the profile of connection changes. Tract-based spatial
statistics in SD patients provided compelling evidence that the network is distinct to that of Alzheimer’s disease (AD), and indicated
that the key abnormality exiting the temporal lobe was in the uncinate fasciculus projection to the orbital frontal lobe. The tensor
behaviours also indicated that the nature of the neurodegenerative in SD differs qualitatively from that seen in AD.
Thursday 13:30-15:30 Computer 72
13:30 4254. MRI-Derived, ROI-Based Whole-Brain Comparison of FDG- And PIB-PET in
Prodromal and Mild Alzheimer’s Disease
David S. Karow 1 , Linda K. McEvoy 1 , Christine Fennema-Notestine 2 , Donald J. Hagler,
Jr. 1 , James B. Brewer, 1,3 , Carl K. Hoh 1 , Anders M. Dale, 1,3
1 Radiology, University of California, San Diego, La Jolla, CA, United States; 2 Psychiatry, University of
California, San Diego, La Jolla, CA, United States; 3 Neurosciences, University of California, San Diego, La
Jolla, CA, United States
Evaluation of metabolism and amyloid plaque burden in prodromal and mild Alzheimer's Disease using MRI-derived, subjectspecific,
semi-automated procedures.
14:00 4255. Lateral Ventricle Segmentation Based on Fusion of Expert Priors in AD.
Vladimir S. Fonov 1 , Sridar Narayanan 1 , Douglas L. Arnold 1 , D. Louis Collins 1
1 McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, QC, Canada
Measurement of lateral ventricular volume is often used for measuring the progression of neurodegenerative diseases. Existing
techniques for ventricle segmentation have been extensively validated for the normal population, but may be suboptimal for the
patients with Alzheimer’s Disease (AD), for example. We propose an automated method which uses information from expert manual
segmentation combined with a population-specific atlas. Experiments were completed with a group of 271 elderly patients from an
ongoing clinical trial, using manual segmentations as a gold standard. We found that proposed algorithm yields accurate results with a
median kappa of 0.962.