Chemical Shift Imaging (CSI) is the method of choice for in vivo localized spectroscopy. However, several persistent obstacles still remain in its application to nuclei other than protons, specifically 31P and 19F CSI proposed in projects of this application. First, the sensitivity is low. Second and several consequents, the measurements are long, thus, only one nucleus can be observed in a clinical session, even if information from another is significant and sought. Third, the current Fourier reconstruction methods, widely used because of their computational convenience and simplicity, result in an artifact that intermixes signal from one voxel, with its its neighbors. This artifact, known as A voxel bleed, leads to spectral-contamination and impacts CSI in general. We propose to address these difficulties from three angles. First, to use polarization transfer techniques from 1H to the less sensitive 31P to increase the signal of the latter and to be used in project II. Second, to develop simultaneous acquisition techniques that will allow 1H decoupled 31P and 19F CSI acquisition during a single clinical examination. Third, to develop non-Fourier transform techniques that, using prior knowledge from the proton images, will improve the accuracy of CSI reconstruction.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
2P01CA041078-09A1
Application #
6236775
Study Section
Project Start
1997-07-01
Project End
1998-03-31
Budget Start
1996-10-01
Budget End
1997-09-30
Support Year
9
Fiscal Year
1997
Total Cost
Indirect Cost
Name
Fox Chase Cancer Center
Department
Type
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19111
Lee, Seung-Cheol; Arias-Mendoza, Fernando; Poptani, Harish et al. (2012) Prediction and Early Detection of Response by NMR Spectroscopy and Imaging. PET Clin 7:119-26
Hultman, Kristi L; Raffo, Anthony J; Grzenda, Adrienne L et al. (2008) Magnetic resonance imaging of major histocompatibility class II expression in the renal medulla using immunotargeted superparamagnetic iron oxide nanoparticles. ACS Nano 2:477-84
Stoyanova, Radka; Querec, Troy D; Brown, Truman R et al. (2004) Normalization of single-channel DNA array data by principal component analysis. Bioinformatics 20:1772-84
Stoyanova, Radka; Nicholls, Andrew W; Nicholson, Jeremy K et al. (2004) Automatic alignment of individual peaks in large high-resolution spectral data sets. J Magn Reson 170:329-35
Stoyanova, Radka; Nicholson, Jeremy K; Lindon, John C et al. (2004) Sample classification based on Bayesian spectral decomposition of metabonomic NMR data sets. Anal Chem 76:3666-74
Sajda, Paul; Du, Shuyan; Brown, Truman R et al. (2004) Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain. IEEE Trans Med Imaging 23:1453-65
Nahum, Alan E; Movsas, Benjamin; Horwitz, Eric M et al. (2003) Incorporating clinical measurements of hypoxia into tumor local control modeling of prostate cancer: implications for the alpha/beta ratio. Int J Radiat Oncol Biol Phys 57:391-401
Stoyanova, R; Brown, T R (2002) NMR spectral quantitation by principal component analysis. III. A generalized procedure for determination of lineshape variations. J Magn Reson 154:163-75
Stoyanova, R; Brown, T R (2001) NMR spectral quantitation by principal component analysis. NMR Biomed 14:271-7
Ochs, M F; Stoyanova, R S; Arias-Mendoza, F et al. (1999) A new method for spectral decomposition using a bilinear Bayesian approach. J Magn Reson 137:161-76

Showing the most recent 10 out of 46 publications