TRADITIONAL POSTER - ismrm
TRADITIONAL POSTER - ismrm
TRADITIONAL POSTER - ismrm
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Poster Sessions<br />
2913. Cardiac Imaging with Chemical Shift Based Water-Fat Separation at 3T<br />
Karl Kristopher Vigen 1 , Chris J. Francois 1 , Ann Shimakawa 2 , Huanzhou Yu 2 , Scott K. Nagle 1 , Mark L.<br />
Schiebler 1 , Scott B. Reeder 1,3<br />
1 Radiology, University of Wisconsin-Madison, Madison, WI, United States; 2 Applied Science Lab, GE Healthcare, Menlo Park, CA,<br />
United States; 3 Medical Physics, University of Wisconsin-Madison, Madison, WI, United States<br />
Chemical shift based water-fat separation methods have recently been demonstrated for 1.5T cardiac imaging. Higher field strengths (most notably 3T) are<br />
increasingly used in cardiac imaging, but water-fat separation techniques can be challenging due to proportionately higher resonance frequency offsets. An<br />
interleaved multi-echo sequence using the IDEAL water-fat method has been developed for cardiac imaging at 3T and applied to the evaluation of delayedenhancement<br />
imaging and other fat-containing pathologies.<br />
2914. Feasibility of T2* Estimation with Chemical Shift-Based Water-Fat Separated Cardiac Imaging<br />
Karl Kristopher Vigen 1 , Huanzhou Yu 2 , Chris J. Francois 1 , Ann Shimakawa 2 , Scott B. Reeder 1,3<br />
1 Radiology, University of Wisconsin-Madison, Madison, WI, United States; 2 Applied Science Lab, GE Healthcare, Menlo Park, CA,<br />
United States; 3 Medical Physics, University of Wisconsin-Madison, Madison, WI, United States<br />
T2* mapping has previously been investigated in cardiac imaging for iron overload assessment and detection of myocardial BOLD effects. Advanced T2*<br />
measurement techniques have been previously demonstrated with chemical shift-based fat-water separation techniques in applications such as iron- and fatcontent<br />
measurement in the liver, and chemical shift-based fat-water decomposition methods have been used to separate fat and water in cardiac imaging. In<br />
this work, the feasibility of T2* mapping with chemical shift-based fat-water decomposition in cardiac imaging is demonstrated.<br />
2915. Determination of Body Compartments at 1.5 and 3 Tesla, Combining Three Volume Estimation<br />
Methods<br />
Tania Buehler 1 , Nicolas Ramseier 1 , Juergen Machann 2 , Nina Schwenzer 2 , Chris Boesch 1<br />
1 Dept. of Clinical Research, University of Bern, Bern, Switzerland; 2 Dept. of Diagnostic Radiology, Eberhard-Karls-University of<br />
Tübingen, Tübingen, Germany<br />
Insulin resistance and the metabolic syndrome are cardiovascular risk factors with enormous consequences for the individual patient and the health care<br />
system. They can be linked with whole body fat (WBF), visceral adipose tissue (VAT), lean body volume (LBV), and whole body volume (WBV) imaged<br />
with MRI. In this study, a method is proposed and tested that uses point counting algorithms to determine the above mentioned body compartments in two<br />
groups of age-, weight-, height-, and BMI-matched volunteers at 1.5 and 3 Tesla.<br />
2916. Autocalibrating Correction of Spatially Variant Eddy Currents for Three-Point Dixon Imaging<br />
Holger Eggers 1 , Adri Duijndam 2<br />
1 Philips Research, Hamburg, Germany; 2 Philips Healthcare, Best, Netherlands<br />
The use of bipolar readout gradients in three-point Dixon imaging increases scan efficiency and separation robustness, but eddy currents lead to phase<br />
variations that do not adhere to the assumed linear evolution over echo time. In first approximation, these phase variations are limited to one spatial direction<br />
and are easily removed prior to the separation. For large volumes, however, this approximation becomes inaccurate. A correction of these phase variations in<br />
all directions that requires no additional calibration data is proposed in this work and demonstrated to substantially improve the fat suppression over large<br />
volumes in three-point Dixon imaging.<br />
2917. Three Echo Dixon Water-Fat Separation for Cardiac Black Blood Turbo Spin Echo Imaging<br />
Peter Koken 1 , Holger Eggers 1 , Tobias Schaeffter 2 , Peter Börnert 1<br />
1 Philips Research Europe, Hamburg, Germany; 2 Divison of Imaging Sciences, King's College , London, United Kingdom<br />
Turbo spin echo (TSE) sequences with black blood and fat suppression preparation pulses are widely used in cardiac MRI. In the presence of B 0<br />
inhomogeneity the common prepulse fat suppression techniques often fail. Furthermore, it was recently shown, that the amount and the distribution of fat in<br />
the heart could be of diagnostic value. We propose the combination of black blood TSE with a three echo GRASE-like readout and an iterative water fat<br />
separation reconstruction without restrictions to the inter echo time. Data were acquired ECG-triggered during breath-hold at both polarities of the readout<br />
gradient and combined with accelerated parallel imaging. The combination of TSE with the three point Dixon method could be an interesting new tool in<br />
cardiac MRI.<br />
2918. Water Fat Separation with Undersampled TSE BLADE Based on Three Point Dixon<br />
Qiang He 1,2 , Dehe Weng 1,3 , Xiaodong Zhou 1,2 , Marc Beckmann 1 , Cheng Ni 1,2<br />
1 Siemens Mindit Magnetic Resonance Co. Ltd., Shenzhen, Guangdong, China; 2 Life Science and Technology School, Tongji<br />
University, Shanghai, China; 3 Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing,<br />
China<br />
By the method of integrating the total variation regularized iterative reconstruction and water fat separation calculation, the water and fat images with robust<br />
and high quality is reconstructed from the undersampled TSE BLADE three point Dixon with less scanning time comparing with full coverage of BLADE k-<br />
space trajectory. The final fat and water images have less streaking artifacts comparing with conventional regridding reconstruction methods followed by<br />
water-fat separation. Meanwhile, inheriting the benefits of the BLADE scanning, the present method is less sensitive to the motions comparing with<br />
Cartesian sampling.