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Poster Sessions<br />

2597. Dynamic Contrast-Enhanced MRI in the Liver at 3T with Dual-Input Pharmacokinetic Model<br />

Analysis<br />

Andrew Brian Gill 1 , Lorenzo Mannelli 1 , Peter Beddy 1 , Richard T. Black 1 , Ilse Joubert 1 , Andrew N. Priest 1 ,<br />

Martin J. Graves 1 , David J. Lomas 1<br />

1 Dept of Radiology, University of Cambridge & Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom<br />

This study reports hepatic perfusion measurements made with DCE-MRI at 3T, performed so as to allow analysis using a dual-input kinetic model which<br />

separates perfusion components from the hepatic artery and portal vein. DCE data acquisition had a single-heartbeat time resolution and employed a dual<br />

saturation-recovery sequence to sample high [Gd] in the blood near-simultaneously with low [Gd] in the liver parenchyma. Mean results for total perfusion<br />

(69 ± 24 ml/min/100ml) and arterial fraction (16 ± 7 %) from 7 healthy volunteers were in line with those reported by other groups collecting data at 1.5T.<br />

2598. Non-Contrast-Enhanced Hepatic MR Arteriography with Two-Dimensional Parallel Imaging and<br />

Short Tau Inversion Recovery Methods to Shorten Acquisition Time Without Image Quality Deterioration<br />

Hiroyoshi Isoda 1 , Kotaro Shimada, Tomohisa Okada, Shigeki Arizono, Toshiya Shibata, Kaori Togashi<br />

1 Diagnostic Imaging and Nuclear Medicine, Kyoto University, Kyoto, Japan<br />

To study whether shortening of acquisition time for selective hepatic artery visualization is feasible without image quality deterioration by adopting twodimensional<br />

(2D) parallel imaging (PI) and short tau inversion recovery (STIR) methods. Shortening of the acquisition time for selective hepatic artery<br />

visualization was feasible without deterioration of the image quality by combination of 2D-PI and STIR methods. It will facilitate using non-contrastenhanced<br />

MRA in clinical practice.<br />

2599. High Temporal Resolution 4D Contrast Enhanced Liver MR Imaging Using Spiral Trajectory and<br />

Sliding Window Reconstruction<br />

Bo Xu 1,2 , Pascal Spincemaille 2 , Beatriu Reig 2 , Fei Sun 3 , Martin R. Prince 2 , Yi Wang, 2,3<br />

1 Department of Biomedical Engineering, Cornell University , Ithaca, NY, United States; 2 Department of Radiology, Weill Cornell<br />

Medical College, New York, NY, United States; 3 Department of Biomedical Engineering, Cornell University, Ithaca, NY, United<br />

States<br />

In this work, high temporal resolution 4D dynamic contrast enhanced liver MR imaging is achieved using a stack of spirals trajectory and sliding window<br />

reconstruction in healthy volunteers. This allows the detection and characterization of liver lesions in the arterial and later phases without the need for<br />

accurate contrast bolus timing. Additionally, a retrospective selection of the optimal arterial phase is possible and the determination of hepatic artery<br />

anatomical variants can be done with increased diagnostic confidence.<br />

2600. Fat Fraction Measurement Using MFFE Sequence with T2* Correction and Little T1 Dependence:<br />

Experience in Chronic Liver Disease Patients Before and After Gd-EOB-DTPA Enhancement<br />

Kengo Yoshimitsu 1 , Tomoyuki Okuaki 2 , Shutaro Saiki 2 , Marc van Cauteren 2<br />

1 Radiology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan; 2 Philips Medical Systems, Tokyo, Japan<br />

Newly developed mFFE can provide consistent fat fraction regardless of T2* or T1 alteration of the liver tissue as compared to conventional dFFE, and<br />

therefore is particularly useful in evaluation of steatosis in chronic hepatitis C or non-alcoholic steatohepatitis patients, in whom considerable amount of iron<br />

may also acculmulate in the liver.<br />

2601. SWI-Based Method for Emphasizing Susceptivity Changes on Liver T2* Multi-Echo Gradient-Echo<br />

MRI<br />

Maria Filomena Santarelli 1,2 , Nicola Martini 2 , Vincenzo Positano, 12 , Alessia Pepe 2 , Daniele De Marchi 2 ,<br />

Luigi Landini, 1,3 , Massimo Lombardi 2<br />

1 Institute of Clinical Physiology, National Research Council (CNR), Pisa, Italy; 2 Tuscany Foundation "G. Monasterio", Pisa, Italy;<br />

3 Information Engineering, EIT, University of Pisa, Pisa, Italy<br />

A method is suggested, based on a SWI approach, that increases the contrast between tissues of different susceptivity, in liver T2* multi-echo gradient-echo<br />

images.<br />

2602. Assessment of Liver Iron Overload by Combining Fast T1-Mapping and T2*-Mapping<br />

Christian Kremser 1 , Benjamin Henninger 1 , Stefan Rauch 1 , Heinz Zoller 2 , Wolfgang Vogel 2 , Werner<br />

Jaschke 1 , Michael Schocke 1<br />

1 Dept. of Radiology, Innsbruck Medical University, Innsbruck, Tyrol, Austria; 2 Department of Internal Medicine II, Innsbruck<br />

Medical University, Innsbruck, Tyrol, Austria<br />

The assessment of liver iron overload by means of magnetic resonance imaging is usually based on the quantification of T2* values. It was the purpose of<br />

this study to investigate if a combination of T2* values and T1 values, obtained with a fast T1 mapping technique, could be beneficial for diagnosis.<br />

2603. Whole Liver T 1 ,T 2 , and T 2 * Relaxation Mapping Using Echo Planar Imaging<br />

Caroline L. Hoad 1 , Alexander G. Gardener 1 , Ji-Young Lim 1 , Carolyn Costigan 2 , Robin C. Spiller 3 , Penny<br />

A. Gowland 1 , Luca Marciani 3 , Guru P. Aithal 3 , Susan T. Francis 1<br />

1 School of Physics and Astronomy, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom; 2 Brain and Body<br />

Centre, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom; 3 Nottingham Digestive Diseases Centre, NIHR<br />

Biomedical Research Unit, University Hospitals NHS Trust, Nottingham, Nottinghamshire, United Kingdom<br />

T 1 , T 2 and T 2 * relaxation maps of the whole liver of chronic liver disease patients were generated using respiratory triggered IR-SE-EPI, SE-EPI and GE-EPI<br />

datasets respectively. These maps were used to generate voxel-by-voxel histograms of the liver tissue, the central peak data of the histogram being

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