This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. In this project we propose a new approach to obtain non contrast enhanced whole brain angiography at 7T. The principle consists in acquiring 3D MPRAGE T1 weighted images and normalizing the latter with a 3D gradient echo image obtained with same parameters but without inversion preparation pulse. Rationale. We have previously shown with T1 weighted anatomical images that these ratio images preserve excellent gray/white matter T1 contrast while removing strong artifacts that hamper clinical usage of 7Tesla images, especially large signal intensity variations due to RF coil sensitivity profile. In these ratio images signal intensity is typically less than unity for brain tissue and for cerebrospinal fluid. Arterial blood signal, however, is greater than unity in these images. This characteristics can significantly ease the process of eliminating background tissue signals to generate maximum intensity projections in order to visualize cerebral arteries. Compared with standard time of flight vessel imaging, this approach also requires significantly lower levels of RF power, thus lower SAR deposition in tissues. Objectives. 1) First, we will optimize MPRAGE based angiography and systematically compare the latter with standard time of flight angiography. Results will be compared in term of image quality, coverage of the cerebral arterial vasculature, smallest visualized vessel size, sensitivity to motion artifacts, SAR, and acquisition time. 2) Second, acquisition parameters will be altered in order to determine if an acceptable trade off can be found between brain tissue T1 contrast and cerebral vessel visualization in order to generate both images in a single acquisition.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR008079-19
Application #
8362878
Study Section
Special Emphasis Panel (ZRG1-SBIB-S (40))
Project Start
2011-06-01
Project End
2012-05-31
Budget Start
2011-06-01
Budget End
2012-05-31
Support Year
19
Fiscal Year
2011
Total Cost
$30,257
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
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
U?urbil, Kamil (2017) Imaging at ultrahigh magnetic fields: History, challenges, and solutions. Neuroimage :
Wilson, Sylia; Malone, Stephen M; Hunt, Ruskin H et al. (2017) Problematic alcohol use and hippocampal volume in a female sample: disentangling cause from consequence using a co-twin control study design. Psychol Med :1-12
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
Musgrove, Donald R; Hughes, John; Eberly, Lynn E (2016) Fast, fully Bayesian spatiotemporal inference for fMRI data. Biostatistics 17:291-303
Andronesi, Ovidiu C; Loebel, Franziska; Bogner, Wolfgang et al. (2016) Treatment Response Assessment in IDH-Mutant Glioma Patients by Noninvasive 3D Functional Spectroscopic Mapping of 2-Hydroxyglutarate. Clin Cancer Res 22:1632-41
Thatcher, R W; Palmero-Soler, E; North, D M et al. (2016) Intelligence and eeg measures of information flow: efficiency and homeostatic neuroplasticity. Sci Rep 6:38890
Uroševi?, Snežana; Luciana, Monica; Jensen, Jonathan B et al. (2016) Age associations with neural processing of reward anticipation in adolescents with bipolar disorders. Neuroimage Clin 11:476-85
Kennedy, James T; Collins, Paul F; Luciana, Monica (2016) Higher Adolescent Body Mass Index Is Associated with Lower Regional Gray and White Matter Volumes and Lower Levels of Positive Emotionality. Front Neurosci 10:413
Wiesner, Hannes M; Balla, Dávid Z; Shajan, G et al. (2016) (17)O relaxation times in the rat brain at 16.4 tesla. Magn Reson Med 75:1886-93

Showing the most recent 10 out of 485 publications