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. Clinical breast exams have limited specificity and sensitivity for detecting breast tumors. Even X-ray mammography, which is used for early screening of breast tumors, has limited sensitivity and does not detect approximately25% of breast cancers. Dynamic contrast-enhanced MRI (DCE-MRI) has high sensitivity but low specificity;i.e., both cancerous and benign lesions enhance [2]. Additional imaging modalities such as sodium (23Na) MR have the potential to increase the sensitivity and specificity of breast cancer detection because 23Na MR can reflect the disruption of the membrane Na-K pump associated with cancer. Moreover, recent advances in gradient hardware and pulse sequences have made 23Na MR feasible for quantitative measurements of sodium concentration. Preliminary results of multinuclear MRI using a receive-only H surface coil and a transmit/ receive 23Na surface coil show elevated 23Na signal in the tumor. Although the surface coil provides high SNR images, there is significant B1 inhomogeneity as modeled by Biot-Savart's law. For quantifying 23Na concentration in the breast, we need an RF coil that improves B1 homogeneity without sacrificing SNR. The goals of this study were to build a dual-tuned Helmholtz coil, to investigate the difference between a dual-tuned Helmholtz coil and a dual-tuned surface coil in providing high SNR and high quality B1 homogeneity for multinuclear imaging, and to perform preliminary breast imaging using the dual-tuned Helmholtz coil.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
2P41RR009784-16
Application #
8169895
Study Section
Special Emphasis Panel (ZRG1-SBIB-U (40))
Project Start
2010-07-01
Project End
2011-03-31
Budget Start
2010-07-01
Budget End
2011-03-31
Support Year
16
Fiscal Year
2010
Total Cost
$18,500
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
Suh, Ga-Young; Choi, Gilwoo; Herfkens, Robert J et al. (2016) Three-Dimensional Modeling Analysis of Visceral Arteries and Kidneys during Respiration. Ann Vasc Surg 34:250-60
Ong, Frank; Lustig, Michael (2016) Beyond Low Rank + Sparse: Multi-scale Low Rank Matrix Decomposition. IEEE J Sel Top Signal Process 10:672-687

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