Abstract

In this project we propose to develop optimal methods for magnetic resonance imaging (MRI). These methods are 'optimal' in the sense that the engineering theory of feedback control is applied in the imaging acquisition strategy in order to extract maximum information for production of stable image estimates. These methods will be applied primarily for dynamic imaging of processes that evolve so rapidly in time that they cannot be adequately resolved both spatially and temporally with suitable volume coverage using current dynamic MRI methods. Our hypothesis is that significant improvement in volume coverage, without loss of image quality or temporal resolution, can be obtained if optimized methods are used. The characterization of the MRI system within the general context of feedback control theory presents the possibility for designing imaging approaches that are truly optimal within the constraints of well defined performance criteria. Methods will be developed to address specific dynamic MR imaging problems. In particular we will focus on two important new applications of MRI; real-time monitoring of interventional procedures, and mapping of cerebral function.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
First Independent Research Support & Transition (FIRST) Awards (R29)
Project #
5R29CA070314-04
Application #
2895513
Study Section
Special Emphasis Panel (ZRG7-DMG (01))
Program Officer
Menkens, Anne E
Project Start
1996-04-01
Project End
2001-03-31
Budget Start
1999-04-01
Budget End
2000-03-31
Support Year
4
Fiscal Year
1999
Total Cost
Indirect Cost

  Institution

Name
Brigham and Women's Hospital
Department
Type
DUNS #
071723621
City
Boston
State
MA
Country
United States
Zip Code
02115

  Publications

Panych, Lawrence P; Zhao, Lei; Mulkern, Robert V (2005) PSF-choice: a novel MRI method for shaping point-spread functions in phase-encoding dimensions. Magn Reson Med 54:159-68
Zhao, L; Venkatesh, A K; Albert, M S et al. (2001) Signal-to-noise ratio comparison of encoding methods for hyperpolarized noble gas MRI. J Magn Reson 148:314-26
Panych, L P; Zhao, L; Jolesz, F A et al. (2001) Dynamic imaging with multiple resolutions along phase-encode and slice-select dimensions. Magn Reson Med 45:940-7
Panych, L P; Oshio, K (1999) Selection of high-definition 2D virtual profiles with multiple RF pulse excitations along interleaved echo-planar k-space trajectories. Magn Reson Med 41:224-9
Panych, L P; Zientara, G P; Saiviroonporn, P et al. (1998) Digital wavelet-encoded MRI: a new wavelet-encoding methodology. J Magn Reson Imaging 8:1135-44
Panych, L P; Mulkern, R V; Saiviroonporn, P et al. (1997) Non-Fourier encoding with multiple spin echoes. Magn Reson Med 38:964-73