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. In this project we will develop an ultra high-speed parallel MRSI technique for the human breast based on Proton Echo Planar Spectroscopic Imaging (PEPSI) and parallel MRI (SENSE/GRAPPA). We will assess the feasibility of single-shot PEPSI with Superresolution SENSE reconstruction (SURE-SENSE), a novel form of parallel MRI, which is particularly suitable for low resolution MRSI. This methodology will be implemented using a novel 16-channel breast RF array coil that provides significantly higher sensitivity and enables much faster parallel imaging acceleration as compared to conventional RF coil designs. Our preliminary results in the human breast demonstrate the feasibility of high quality 2D and 3D PEPSI in short measurement time.
Our aims are to 1) Develop ultra high-speed parallel 3D MRSI for the breast at 3 T;and 2) Use ultra high-speed 3D MRSI at 3 T as a tool for breast cancer detection and treatment response assessment. If successful, the developed technique will be used as a tool for breast cancer diagnosis and treatment monitoring. The long-term goals are to utilize MRSI as an early predictor of treatment failure in women undergoing systemic therapy (i.e. chemotherapy, endocrine therapy) for breast cancer and to develop an improved screening protocol for high-risk patients. In patients undergoing neoadjuvant therapies, accurate early identification of treatment failure or success could save significant time and resources, and minimize patient risk and exposure to potential side effects from medications that are not efficacious.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR008079-18
Application #
8170464
Study Section
Special Emphasis Panel (ZRG1-SBIB-S (40))
Project Start
2010-06-01
Project End
2011-05-31
Budget Start
2010-06-01
Budget End
2011-05-31
Support Year
18
Fiscal Year
2010
Total Cost
$3,209
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
Herzberg, Max P; Hodel, Amanda S; Cowell, Raquel A et al. (2018) Risk taking, decision-making, and brain volume in youth adopted internationally from institutional care. Neuropsychologia 119:262-270
U?urbil, Kamil (2018) Imaging at ultrahigh magnetic fields: History, challenges, and solutions. Neuroimage 168:7-32
Foell, Jens; Palumbo, Isabella M; Yancey, James R et al. (2018) Biobehavioral threat sensitivity and amygdala volume: A twin neuroimaging study. Neuroimage 186:14-21
Magnitsky, Sergey; Pickup, Stephan; Garwood, Michael et al. (2018) Imaging of a high concentration of iron labeled cells with positive contrast in a rat knee. Magn Reson Med :
Lee, Byeong-Yeul; Zhu, Xiao-Hong; Woo, Myung Kyun et al. (2018) Interleaved 31 P MRS imaging of human frontal and occipital lobes using dual RF coils in combination with single-channel transmitter-receiver and dynamic B0 shimming. NMR Biomed 31:
Wilson, Sylia; Malone, Stephen M; Hunt, Ruskin H et al. (2018) Problematic alcohol use and hippocampal volume in a female sample: disentangling cause from consequence using a co-twin control study design. Psychol Med 48:1673-1684
Nelson, Brent G; Bassett, Danielle S; Camchong, Jazmin et al. (2017) Comparison of large-scale human brain functional and anatomical networks in schizophrenia. Neuroimage Clin 15:439-448
Bolan, Patrick J; Kim, Eunhee; Herman, Benjamin A et al. (2017) MR spectroscopy of breast cancer for assessing early treatment response: Results from the ACRIN 6657 MRS trial. J Magn Reson Imaging 46:290-302
Lyzinski, Vince; Fishkind, Donniell E; Fiori, Marcelo et al. (2016) Graph Matching: Relax at Your Own Risk. IEEE Trans Pattern Anal Mach Intell 38:60-73
Ugurbil, Kamil (2016) What is feasible with imaging human brain function and connectivity using functional magnetic resonance imaging. Philos Trans R Soc Lond B Biol Sci 371:

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