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Poster Sessions<br />

1766. Combined Assessment of Vascular Territories and Haemodynamic Parameter Maps<br />

Rebecca Susan Dewey 1,2 , Dorothee P. Auer 1 , Susan T. Francis 2<br />

1 Division of Academic Radiology, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom; 2 Sir Peter Mansfield<br />

Magnetic Resonance Centre, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom<br />

Watershed areas are brain regions supplied by the most distal branches of the cerebral arteries and are most susceptible to haemodynamic ischaemia. We<br />

assess the use of territorial ASL to define Left and Right Internal Carotid, Anterior Cerebral, and Basilar Artery territories to distinguish the watershed area,<br />

and assess its correspondence with haemodynamic parameters (perfusion rate, arterial blood volume and arterial and tissue transit times) from multiphase<br />

ASL. Specified anatomical regions are assessed for vascular supply and haemodynamic parameters. Combining these techniques, an atlas of parameters can<br />

be formed for region-specific perfusion and position and functional effects of watershed areas.<br />

1767. Simultaneous Measurements of Arterial Transit Times and Water Exchange Rates by Diffusion-<br />

Weighted ASL<br />

Keith S. St. Lawrence 1,2 , Jodi Miller 1 , Jiongjiong Wang 3<br />

1 Imaging, Lawson Health Research Institute, London, ON, Canada; 2 Medical Biophysics, University of Western Ontario, London,<br />

ON, Canada; 3 Radiology, University of Pennsylvania, Philadelphia, PA, United States<br />

The arterial transit time (τa) and the exchange rate of water (kw) across the blood-brain barrier were determined using diffusion-weighted arterial spin<br />

labelling (ASL) with multiple post-labelling delay times. τa was determined using bipolar gradients to suppress the arterial signal (i.e., the FEAST method)<br />

and kw was determined using bipolar gradients strong enough to suppress all vascular signals and a kinetic model to characterize water exchange across the<br />

BBB. Averaged over four volunteers, kw was 119 min-1 in grey matter and τa was 1.26 s. From repeat measurements, the intra-subject coefficient of<br />

variation of kw was 12%.<br />

1768. Flow-Weighted Arterial Transit Time Mapping of the Human Brain<br />

Toralf Mildner 1 , Stefan Hetzer 1 , Wolfgang Driesel 1 , Karsten Müller 1 , Harald E. Möller 1<br />

1 NMR unit, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Saxony, Germany<br />

Mapping of Arterial Transit times by Intravascular Signal SElection (MATISSE) was performed with and without a mild flow-weighting (FW). The arterial<br />

transit times, δa , of the flow-weighted data were increased on average by about 700 ms and the signal amplitudes roughly were halved. Flow-through signals,<br />

i. e. signals of arterial vessels permeating the voxel, are removed almost completely, although the MATISSE signal still is expected to be of vascular origin.<br />

The fact that δa with mild FW was found to be easily larger than 2 s might be important for the quantification of CBF in standard dual-coil CASL<br />

experiments.<br />

1769. Arterial Transit Delay Measurement Using Pseudo-Continuous ASL with Variable TR and Interleaved<br />

Post-Labeling Delays<br />

Kun Lu 1 , Thomas T. Liu 1 , Youngkyoo Jung 1<br />

1 Center for Functional MRI, UCSD, La Jolla, CA, United States<br />

Conventional arterial transit delay measurements consist of a series of separate ASL experiments acquired at several different post-labeling delays. Such<br />

measurements are usually time-consuming and can be formidable overheads for ASL studies. The time requirement also makes the measurements highly<br />

sensitive to motion. This study presents a simple yet effective modification of the conventional method for measuring transit delay with shorter scan time<br />

and less motion sensitivity. Such a method could be beneficial to all ASL studies.<br />

1770. Eliminating the Partition Coefficient from ASL Perfusion Quantification with a Homogeneous<br />

Contrast Reference Image<br />

Weiying Dai 1 , Philip M. Robson 1 , Ajit Shankaranarayanan 2 , David C. Alsop 1<br />

1 Radiology, Beth Israel Deaconess Medical Center,Harvard Medical School, Boston, MA, United States; 2 Global Applied Science<br />

Laboratory, GE Healthcare, Menlo Park, CA, United States<br />

Conventional ASL perfusion quantification requires division by a proton density reference image and assumes a uniform brain-blood partition coefficient.<br />

The brain-blood partition coefficient is not constant, however, and may especially differ in areas of pathology. In cortical regions where CSF, white matter<br />

and gray matter may all be mixed within a voxel, division by the proton density image can also add nonlinear systematic errors. Here we propose using an<br />

optimized inversion preparation to generate an image whose intensity is essentially independent of tissue type. This highly homogeneous image can replace<br />

the proton density image and makes the assumption of a brain-blood partition coefficient unnecessary. In-vivo results demonstrate that such homogeneous<br />

contrast is achievable and can be used to improve the pixel-by-pixel perfusion measurement.<br />

1771. Potential Tracking of Oxygen Consumption Using Arterial Spin Labeling Susceptibility Imaging<br />

Johannes Gregori 1,2 , Norbert Schuff 3,4 , Matthias Günther 1,5<br />

1 Institute for Medical Image Computing, Fraunhofer MEVIS, Bremen, Germany; 2 Neurology, Universitätsmedizin Mannheim,<br />

Heidelberg University, Mannheim, Germany; 3 Radiology & Biomedical Imaging, University of San Francisco, San Francisco, CA,<br />

United States; 4 Center for Imaging of Neurodegenerate Diseases (CIND), VA Medical Center, San Francisco, CA, United States;<br />

5 mediri GmbH, Heidelberg, Germany<br />

We present ASL time series measurements with spin/gradient double echo spiral 3D-GRASE readout to quantify R2' of the ASL difference signal. R2' can<br />

give information about blood oxygenation and blood volume, while ASL time series are used to investigate perfusion dynamics. Using the combination of<br />

both techniques, we can measure the changes of R2' over different inflow times and discuss the physiological underlyings.

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