Traditional Posters: Diffusion & Perfusion - ismrm

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 increase in cerebral blood flow (CBF) in the occipital region, and the increase was in accordance
with literature values. In other areas of the brain, CBF remained unchanged. Cerebral blood volume was also measured, but the
increase observed was not found to be significant.
1732. Effects of Fat Saturation on Perfusion Parameter Quantifications for the Parotid
Glands in Dynamic Contrast-Enhanced MRI
Su-Chin Chiu 1,2 , Chun-Juan Juan 2 , Hsiao-Wen Chung 1,2 , Cheng-Chieh Cheng 1,2 , Hing-
Chiu Chang, 1,3 , Hui-Chu Chiu 4,5 , Cheng-Hsien Hsu 2,6 , Cheng-Yu Chen 2 , Guo-Shu
Huang 2
1 Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan; 2 Department of
Radiology, Tri-Service General Hospital, Taipei, Taiwan; 3 Applied Science Laboratory, GE Healthcare, Taipei,
China; 4 Department of Nuclear Medicine, Tri-Service General Hospital, Taipei, Taiwan; 5 EMBA in Global
Chinese Management, Tamkang University, Taiwan; 6 Quanta Computer Inc., Taipei
The effects of fat saturation on quantitative perfusion measurements using dynamic contrast-enhanced (DCE) MRI have not been
documented for the parotid glands. In this study we included phantom and in vivo studies to compare the relationship between fat
content and the difference between perfusion parameters derived from non-fat-saturated (NFS) and fat-saturated (FS) DCE-MRI.
Significant differences were found for all amplitude-related parameters in parotid glands but not for muscular tissue. It is suggested
that the use of FS or NFS should be explicitly specified for objective comparison of perfusion parameters with DCE-MRI on fatcontaining
tissues such as the parotid glands.
1733. Factors Affecting the Detection of Permeability Derangements in Perfusion Imaging
of Stroke Patients
Richard Leigh 1 , Argye Elizabeth Hillis 2 , Peter B. Barker 3
1 Neurology, Johns Hopkins Univeristy School of Medicine, Towson, MD, United States; 2 Neurology, Johns
Hopkins University School of Medicine, Baltimore, MD, United States; 3 Radiology, Johns Hopkins Univeristy
School of Medicine, Baltimore, MD, United States
Detection of permeability derangements in stroke patients may help guide therapy and improve outcomes. PWI, which is routinely
performed in stroke imaging, can be used to assess permeability derangements through accumulation of contrast into the brain
parenchyma. However it is unclear how the recorded signal can be quantified and normalized across patients. We analyzed nine
stroke patients with evidence of contrast leakage on PWI to see how differences in acquisition parameters affected the recorded signal.
We found that the measurements were greatly affected not only by the acquisition parameters but also the tissue type from which the
signal was recorded.
1734. Quantitative Analysis of Clinical Dynamic Contrast-Enhanced Magnetic Resonance
Imaging (DCE-MRI) to Evaluate Treatment Response in Human Breast Cancer
Yanming Yu 1,2 , Jun Li 1 , Quan Jiang 3 , Shanglian Bao 1 , Yi Zhong 4 , Yongquan Ye 2 , Jiong
Zhu 5 , Yongming Dai 6 , Ewart Mark Haacke 2 , Jiani Hu 2
1 Beijing key lab of medical physics and engineering, Peking University, Beijing, China; 2 Department of
Radiology, Wayne State University, Detroit, MI, United States; 3 Department of Neurology, Henry Ford Health
Sciences Center, Detroit, MI, United States; 4 4. Sino-Dutch Biomedical & Information Engineering,
Northeastern University, Shenyang, Liaoning, China; 5 Department of Radiology, Ren Ji Hospital, Shanghai Jiao
Tong University School of Medicine, Shanghai; 6 Healthcare, Magnetic Resonance Imaging, Siemens Ltd.
China, Shenzhen, Guangdong, China
There are several practical limitations in quantitative analysis of clinical DCE-MRI for assessing treatment response, including: 1)
difficulty in obtaining an accurate arterial input function (AIF); 2) the long scanning time to accurately estimate baseline T1(0); and 3)
often highly variable or unphysical results due to noise effects; 4) long computational time. We develop a method that combines a
fixed-T1, the Fuzzy C-Means and the reference region model to overcome the aforementioned limitations in quantitative analysis of
clinical DCE-MRI without measuring either an AIF or T1(0), and demonstrate its feasibility to assess neoadjuvant chemotherapy for
breast cancer using clinical DCE-MRI.