This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Introduction: Fat suppression is crucial to numerous clinical applications of MRI, including cardiovascular, abdominal and musculoskeletal imaging. In previous work, partially supported by this research resource, investigators have developed a robust iterative reconstruction technique, IDEAL, to separate water from fat using several MR images with different echo times resulting in different phase difference between fat and water signals. Initial clinical evaluation of IDEAL has been successful. However, the technique can benefit from scan time reduction, and improved efficiency, which are both goals of the present work. Methods and Discussion: IDEAL (Iterative Decomposition of water and fat with Echo Asymmetry and Least squares estimation) is a robust algorithm for separation of water and fat using images with at least 3 different echo times. Normally, a full acquisition is used for each echo time. In this work we use a multi-echo readout, that acquires data for all three echo times in a single acquisition. This reduces total scan time by about a factor of two, without reducing SNR significantly, and improves robustness to patient motion. We have applied this technique to musculoskeletal imaging to produce a sub-five-minute 3D cartilage imaging sequence, and to 3D liver imaging, which enables imaging within a breath-hold. Results show excellent fat/water separation in most cases, though as the echo spacing increases, there are cases where the fat/water swaps occur. Future work will involve improving the robustness of the reconstruction as the echo spacing increases, allowing higher resolution imaging. We will also apply this technique to rapid cardiac imaging, where motion makes the standard IDEAL technique difficult.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR009784-12
Application #
7358789
Study Section
Special Emphasis Panel (ZRG1-SBIB-F (40))
Project Start
2006-06-01
Project End
2007-05-31
Budget Start
2006-06-01
Budget End
2007-05-31
Support Year
12
Fiscal Year
2006
Total Cost
$9,353
Indirect Cost
Name
Stanford University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Maclaren, Julian; Aksoy, Murat; Ooi, Melvyn B et al. (2018) Prospective motion correction using coil-mounted cameras: Cross-calibration considerations. Magn Reson Med 79:1911-1921
Guo, Jia; Holdsworth, Samantha J; Fan, Audrey P et al. (2018) Comparing accuracy and reproducibility of sequential and Hadamard-encoded multidelay pseudocontinuous arterial spin labeling for measuring cerebral blood flow and arterial transit time in healthy subjects: A simulation and in vivo study. J Magn Reson Imaging 47:1119-1132
Tamir, Jonathan I; Uecker, Martin; Chen, Weitian et al. (2017) T2 shuffling: Sharp, multicontrast, volumetric fast spin-echo imaging. Magn Reson Med 77:180-195
Lai, Lillian M; Cheng, Joseph Y; Alley, Marcus T et al. (2017) Feasibility of ferumoxytol-enhanced neonatal and young infant cardiac MRI without general anesthesia. J Magn Reson Imaging 45:1407-1418
Taviani, Valentina; Alley, Marcus T; Banerjee, Suchandrima et al. (2017) High-resolution diffusion-weighted imaging of the breast with multiband 2D radiofrequency pulses and a generalized parallel imaging reconstruction. Magn Reson Med 77:209-220
Uecker, Martin; Lustig, Michael (2017) Estimating absolute-phase maps using ESPIRiT and virtual conjugate coils. Magn Reson Med 77:1201-1207
Kogan, Feliks; Hargreaves, Brian A; Gold, Garry E (2017) Volumetric multislice gagCEST imaging of articular cartilage: Optimization and comparison with T1rho. Magn Reson Med 77:1134-1141
Aksoy, Murat; Maclaren, Julian; Bammer, Roland (2017) Prospective motion correction for 3D pseudo-continuous arterial spin labeling using an external optical tracking system. Magn Reson Imaging 39:44-52
Bian, W; Tranvinh, E; Tourdias, T et al. (2016) In Vivo 7T MR Quantitative Susceptibility Mapping Reveals Opposite Susceptibility Contrast between Cortical and White Matter Lesions in Multiple Sclerosis. AJNR Am J Neuroradiol 37:1808-1815
Vos, Sjoerd B; Aksoy, Murat; Han, Zhaoying et al. (2016) Trade-off between angular and spatial resolutions in in vivo fiber tractography. Neuroimage 129:117-132

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