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2896. Maxwell's Equation Tailored Reverse Method of Obtaining Coil Sensitivity for Parallel MRI<br />
Jin Jin 1 , Feng Liu 1 , Yu Li 1 , Ewald Weber 1 , Stuart Crozier 1<br />
1 ITEE, The University of Queensland, St Lucia, Queensland, Australia<br />
Poster Sessions<br />
A new method is proposed to obtain noise-free RF coil sensitivity maps. This is highly desirable, considering the fact that the sensitivity encoding (SENSE)<br />
method imposes ultimate dependence of successful full FOV image reconstruction on the correct sensitivity map of each individual coil. The proposed<br />
method differs from traditional methods in that, instead of refining the measured sensitivity maps by means of numerical approximation and/or extrapolation,<br />
it is based on physics of electromagnetics, parameterization and optimization algorithms. Preliminary simulations show substantial improvement in<br />
sensitivity maps constructed by proposed method compared to traditional polynomial fitting method and consequently in reconstructed images.<br />
2897. Sub-Sampling Parallel MRI with Unipolar Matrix Decoding<br />
Doron Kwiat 1<br />
1 DK Computer College, Tel-Aviv, Israel<br />
A method is proposed of parallel array scan, where signals from coils are combined by a summing multiplexer and decoded by unipolar matrix inversion is<br />
suggested, which reduces acquisition channels to a single pre-amp and A/D. The results would be, an independent individual separated signals as if acquired<br />
through multiple acquisition channels, and yet at a total acquisition time similar to acquisition time of multiple channels, Background In a standard parallel<br />
array technology, N coils simultaneously cover N FOVs by reading N k-space lines simultaneously over N independent data sampling channels. These k-<br />
space lines are phase weighted to maximize SNR and then FT converted to N independent images with an increased SNR[1]. In current accelerated PI<br />
techniques, some of K-space lines are skipped physically, and are replaced by virtual k-space substitutes using preumed spatial sensitivities of the coils in the<br />
PE direction [2-5]. Based on the method described recently [6,7] a new scanning procedure is described here. The Method 1.Have all coils be connected<br />
through a single summing multiplexer unit (MUX) which allows, at our discretion, selecting N-1 coils to be actively connected while a single coil is<br />
deactivated electronically, to a single summing common output (SCO). Let the summed signal from these N-1 coils be sampled by the single acquisition<br />
channel (ACQ) having a single pre-amp and single A/D. 2.Scan 1/Nth of the total k-space lines while having N-1 coils actively connected to the ACQ by the<br />
MUX unit. Repeat the above scan procedure over another 1/Nth part of k-space, this time with another set of N-1 coils actively connected, and 1 coil<br />
deactivated. Keep these scan procedures N times, until all k-space lines were acquired over all N possible permutations of selections of N-1 coils out of N. 3.<br />
There are now exactly N summed acquisitions at our hands. Using an inverse of a unipolar matrix, these can be now decoded back to the original individual<br />
k-space lines<br />
Non-Cartesian Imaging Methods<br />
Hall B Tuesday 13:30-15:30<br />
2898. 3D Dual VENC PCMRA Using Spiral Projection Imaging<br />
Nicholas Ryan Zwart 1 , James Grant Pipe 1<br />
1 Keller Center for Imaging Innovation, Barrow Neurological Institute, Phoenix, AZ, United States<br />
This work focuses on the reduction of scan time required by the phase-contrast MRA technique. The proposed method consists of a 3D variable density<br />
spiral projection imaging trajectory (SPI) combined with a dual velocity encoding technique. SPI is a rapid imaging technique that improves acquisition<br />
time through the intrinsic efficiency of spirals and through undersampling. The dual-VENC method improves SNR by allowing low-VENC (high SNR) data<br />
to be reconstructed without phase aliasing of the velocity measurements.<br />
2899. Dynamic 3D Contrast Enhanced Liver Imaging Using a Novel Hybrid Cartesian-Radial Acquisition<br />
with Flexible Temporal and Spatial Resolution<br />
Pascal Spincemaille 1 , Beatriu Reig 1 , Martin R. Prince 1 , Yi Wang 1<br />
1 Radiology, Weill Cornell Medical College, New York, NY, United States<br />
High temporal resolution dynamic contrast enhanced liver imaging is achieved using a novel k-space sampling method that samples the phase and slice<br />
encoding plane along true radial trajectories with an angularly varying field-of-view and resolution. Combined with an adapted golden ratio view order, it<br />
eliminates the need for accurate bolus timing and allows the retrospective selection of the optimal arterial enhancement for the detection and characterization<br />
of liver lesions.<br />
2900. Magnetization-Prepared Shells with Integrated RadiaL and Spirals<br />
Yunhong Shu 1 , Matt A. Bernstein 1<br />
1 Department of Radiology, Mayo Clinic, Rochester, MN, United States<br />
In this work, we demonstrate the initial feasibility of combining the SWIRLS trajectory with the MP-RAGE acquisition for volumetric T1-weighted brain<br />
imaging. The SWIRLS trajectory uses one continuous interleave to cover the surface of a spherical shell from pole-to-pole, which offer more flexibility for<br />
magnetization prepared (MP) design than the traditional shells trajectory. Meanwhile, it also shares the advantages of shells trajectory, including optimizing<br />
the contrast between WM and GM with reduced scan time.<br />
2901. High-Field MRI for Non-Invasive Preclinical Imaging in Free-Breathing Mice<br />
Prachi Pandit 1,2 , Yi Qi 2 , Kevin F. King 3 , G A. Johnson 1,2<br />
1 Biomedical Engineering, Duke University, Durham, NC, United States; 2 Center for In Vivo Microscopy, Duke University, Durham,<br />
NC, United States; 3 GE Healthcare, Waukesha, WI, United States<br />
The requirements for preclinical cancer imaging are high spatial resolution, good soft tissue differentiation, excellent motion immunity, and fast and noninvasive<br />
imaging to enable high-throughput, longitudinal studies. Here we describe a PROPELLER-based technique, which with its unique data acquisition<br />
and reconstruction overcomes the adverse effects of physiological motion, allows for rapid setup and acquisition and provides excellent tissue contrast.