TRADITIONAL POSTER - ismrm
TRADITIONAL POSTER - ismrm
TRADITIONAL POSTER - ismrm
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Poster Sessions<br />
2919. CS-Dixon: Compressed Sensing for Water-Fat Dixon Reconstruction<br />
Mariya Doneva 1 , Peter Börnert 2 , Holger Eggers 2 , Alfred Mertins 1 , John Pauly 3 , Michael Lustig 3,4<br />
1 Institute for Signal Processing, University of Lübeck, Lübeck, Germany; 2 Philips Research Europe, Hamburg, Germany; 3 Electrical<br />
Engineering, Stanford University, CA, United States; 4 Electrical Engineering, UC Berkeley, CA, United States<br />
An integrated Compressed Sensing-Dixon algorithm is proposed, which applies a sparsity constraint on the water and fat images and jointly estimates water,<br />
fat and field map images. The method allows scan time reduction of above 3 in 3D MRI, fully compensating for the additional time necessary to acquire the<br />
chemical shift encoded data.<br />
2920. Accelerated Robust Fat/Water Separation at 7T<br />
Sreenath Narayan 1 , Fangping Huang 1 , David Johnson 2 , Christoper Flask 1,3 , Guo-Qiang Zhang 1 , David<br />
Wilson 1<br />
1 Case Western Reserve University, Cleveland, OH, United States; 2 Ohio State University, Columbus, OH, United States; 3 Unversity<br />
Hospitals, Cleveland, OH, United States<br />
VARPRO-ICM was previously introduced as a Dixon processing formulation that was able to handle the very large field inhomogeneities seen at 7T.<br />
However, long processing times have prevented this formulation from achieving practical use. In this abstract, we present image processing improvements<br />
that decrease the processing times required to solve the VARPRO-ICM formulation by a factor of about 70.<br />
2921. Consistent Region-Growing Based Dixon Water and Fat Separation for Images with Disconnected<br />
Objects<br />
Hua Ai 1 , Jingfei Ma 1<br />
1 The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States<br />
Consistent water and fat separation in images with disconnected objects is difficult for a region-growing based Dixon method. Here, we propose to monitor<br />
and record the quality index of a recently-proposed algorithm for region-growing at each step. The quality index is then used to automatically segment the<br />
disconnected objects into separate sub-images. Finally, the sub-images are consistently recombined on the basis of water and fat spectral asymmetry and<br />
slice-to-slice phase correlation. The proposed method was tested on a total of 1106 axial in vivo leg images and was shown to reduce the number of<br />
inconsistent slices from 203 to 6.<br />
2922. Optimized Single-Acquisition Lipid- And Water-Selective Imaging at High Field<br />
William M. Spees 1 , Tsang-Wei Tu 1 , Sheng-Kwei Song 1 , Joel Garbow 1<br />
1 Biomedical MR Laboratory, Washington University School of Medicine, St. Louis, MO, United States<br />
Side-lobe spatial-spectral excitation and frequency-selective saturation with a binomial-series RF pulse scheme were evaluated for application at high field.<br />
Both methods yield separate water- or lipid-selective images in a single acquisition. In most circumstances, the performance of the binomial saturation<br />
approach proves to be more robust. A strategy is described for overcoming unwanted artifacts arising from magnetic susceptibility mismatch in smallanimal<br />
imaging.<br />
2923. Chemical Shift Based Water-Fat Separation with an Undersampled Acquisition<br />
Catherine J. Moran 1 , Ethan K. Brodsky, 12 , Huanzhou Yu 3 , Scott B. Reeder, 12 , Richard X. Kijowski 2 , Walter<br />
F. Block 1,4<br />
1 Medical Physics, University of Wisconsin, Madison, WI, United States; 2 Radiology, University of Wisconsin, Madison, WI, United<br />
States; 3 Global Applied Sciences Lab, GE Healthcare, Menlo Park, CA, United States; 4 Biomedical Engineering, University of<br />
Wisconsin, Madison, WI, United States<br />
The chemical shift based IDEAL decomposition method generally requires redundant sampling at multiple time points. A unique undersampled radial k-<br />
space trajectory at each echo time provides a means to accelerate data acquisition while still allowing for robust chemical species decomposition. In this<br />
work we present a dual-pass dual-half-echo radial acquisition which utilizes undersampled source images with IDEAL to achieve bSSFP images with high<br />
isotropic resolution and robust fat-water separation in the breast and knee.<br />
2924. Influence and Compensation of Fat Signal Dephasing and Decay in Two-Point Dixon Imaging<br />
Holger Eggers 1<br />
1 Philips Research, Hamburg, Germany<br />
Fat has a complex spectral composition, which causes its signal to dephase and decay noticeably even over short intervals. The influence of these effects on<br />
the extent of fat suppression reached in two-point Dixon imaging is evaluated in this work and is found to strongly depend on the choice of echo times.<br />
Moreover, it is shown how more complex spectral models of fat may be incorporated into a generalized two-point Dixon method, with which a more<br />
uniform degree of fat suppression is achieved across a range of relevant echo times.<br />
2925. Water Fat Separation with TSE BLADE Based on Three Points Dixon Technique<br />
Dehe Weng 1,2 , Marc Beckmann 1<br />
1 Siemens Mindit Magnetic Resonance Ltd, Shenzhen, Guangdong, China; 2 Beijing MRI Center for Brain Research, Institute of<br />
Biophysics, Chinese Academy of Sciences, Beijing, China<br />
Three points Dixon method for water and fat separation based on TSE BLADE is proposed. New phase correction using the in-phase image blades is<br />
introduced for the reconstruction of the two out-of-phase images in order to keep the water fat chemical shift information so that the water and fat can be<br />
separated after the reconstruction. Result shows that water and fat can be separated correctly, furthermore, the method enjoys the advantage of blade, it's less<br />
vulnerable to rigid body motion and pulsation etc.