TRADITIONAL POSTER - ismrm

Poster Sessions
1726. A New Vascular Impulse Response Function for Modelling and Prediction with Measured Dynamic
Contrast Enhanced Plasma Curves
Matthew R. Orton 1 , David J. Collins 1 , Christina Messiou 1 , Elly Castellano 1 , Jean Tessier 2 , Shirley Spratt 3 ,
Martin O. Leach 1
1 CR-UK and EPSRC Cancer Imaging Centre, Institute of Cancer Research, Sutton, Surrey, United Kingdom; 2 Early Clinical
Development, AstraZeneca, Alderley Park, Macclesfield, United Kingdom; 3 Clinical Discovery Team, AstraZeneca, Alderley Park,
Macclesfield, United Kingdom
The blood plasma curve shape is an important component of many modelling approaches for DCE imaging, and models of these curves are used to produce
functional parameter estimates. For predictions or comparisons to be made using plasma curve data obtained with different injection lengths or profiles it is
necessary to include the effect of the injection profile on the plasma curve. In this abstract we present a general methodology to estimate a vascular impulse
response function which is independent of the injection profile, and can therefore be used to perform such predictions and comparisons.
1727. Comparison of Baseline Signal Correction Methods for Dynamic Contrast Enhanced MRI
Yiqun Xue 1 , Mark A. Rosen 1 , Hee Kwon Song 1
1 Radiology, University of Pennsylvania, Philadelphia, PA, United States
In DCE-MRI, perfusion parameters are particularly sensitive to the accuracy of the baseline (pre-contrast) signal of the AIF and tumor. However, the SNR of
the pre-contrast data can be very low, particularly at high spatial resolutions since the T1 of blood and tissue are much longer than the TR. In this abstract,
we compare three different baseline correction methods: magnitude averaging, Rician correction and complex averaging. It is shown that with sufficient
amount of baseline data, measurement errors due to noise can be reduced most effectively by averaging of the complex data.
1728. Evaluation of Anti-Angiogenic Effects of a New Synthetic Candidate Drug KR-31831 on Xenografted
Ovarian Carcinoma Using Dynamic Contrast-Enhanced MRI
Jehoon Yang 1 , Geun-Ho Im 2 , Jae-Hun Kim 1 , Hyejung Heo 2 , Sera Yoon 2 , Eunhee Cho 2 , Jaewon Lee 2 , Jung
Hee Lee 1
1 Radiology, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of; 2 Center for Molecualr and Cellular Imaging,
Samsung Medical Center, Seoul, Korea, Republic of
Converging evidences have indicated that dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) provides parameters indicating permeability
of tumor microvessels which has been shown to be closely related to angiogenesis. Because endothelial cells are thought to be genetically stable compared
with tumor cells, tumor vasculature can be one of promising target for novel anticancer agents. Therefore we designed this study to investigate the antiangiogenic
inhibitory effect of KR-31831 that was newly developed for anti-ischemic agent by our co-worker group on xenografted human ovarian
carcinoma model using DCE-MRI on a micro 7.0 Tesla MR system. Our preliminary results suggest DEC-MRI may be useful tools to evaluate the antiangiogenic
effect of KR-31831 on xenografted human ovarian carcinoma model.
1729. Quantification of Blood-Brain Barrier Permeability in the Mouse Brain in Vivo
Sang-Pil Lee 1,2 , Jieun Kim 1 , Nancy Berman 3
1 Hoglund Brain Imaging Center, University of Kansas Medical Center, Kansas City, KS, United States; 2 Molecular and Integrative
Physiology, University of Kansas Medical Center, Kansas City, KS, United States; 3 Anatomy and Cell Biology, University of Kansas
Medical Center, Kansas City, KS, United States
Measuring blood-brain barrier (BBB) permeability in mice has been challenging because estimation of vascular contrast agent concentrations in the blood is
especially difficulty due to the requirement of very high spatial resolution. We have overcome the difficulty by combining pre-contrast T1 mapping and
high-resolution spin-echo T1-weighted imaging. We have successfully quantified BBB permeability in vivo from the signal changes associated with uptake
of Gd-DTPA following traumatic brain injury using the Patlak plot technique. Results show that significant entry of Gd into the brain was evident in the
injury site with excellent linear relationship between tissue concentration of Gd and the stretched time.
1730. Blood-Brain Barrier Permeability Measured by DCE MRI Predicts Perihematomal Edema Diffusivity
Didem Bilensoy Aksoy 1 , Roland Bammer 2 , Michael Mlynash 1 , Sandeep N. Gupta 3 , Ryan W. Snider 1 , Irina
Eyngorn 1 , Chitra Venkatasubramanian 1 , Nancy Fischbein 2 , Christine A.C. Wijman 1
1 Department of Neurology and Neurological Sciences, Stanford Stroke Center, Stanford University, Palo Alto, CA, United States;
2 Department of Radiology, Stanford University, Palo Alto, CA, United States; 3 Global Research Center, General Electric, Niskayuna,
NY, United States
Dynamic Contrast-Enhanced (DCE) MRI was used as a tool to assess and quantify blood-brain barrier (BBB) injury following spontaneous intracerebral
hemorrhage (ICH). BBB permeability and its relationship with perihematomal tissue diffusivity, a sign of edema severity, were studied. Significantly
increased BBB permeability in the region immediately surrounding the hematoma was observed. BBB leakage correlated with diffusivity in the region
surrounding the hematoma.
1731. Dynamic Contrast Enhanced T1-Weighted Perfusion MRI for Measuring Cerebral Perfusion Increase
After Visual Stimulation
Hilde Kjeldstad Berg 1 , Paal Erik Goa 2 , Olav Haraldseth 3 , Henrik B W Larsson 4
1 HiST, Sor-Trondelag University College, Trondheim, Norway; 2 Department of Diagnostic Imaging, St Olavs Hospital, Trondheim,
Norway; 3 Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim,
Norway; 4 Functional Imaging Unit, Glostrup Hospital, University of Copenhagen, Glostrup, Denmark
The purpose of this study was to further develop and validate a new method for quantitative cerebral perfusion measurements, using dynamic contrast
enhanced T1-weighted MR imaging. Healthy volunteers were examined in rest and during visual stimulation. Visual stimulation resulted in a significant