Regularized inversion of noisy, incomplete MR spectroscopic imaging data with anatomical prior

J.P Haldar; M Jacob; A Ebel; Xiaoping Zhu; N Schuff; D Hernando; B.P Sutton; Zhi-Pei Liang

doi:10.1109/ISBI.2006.1625017

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Conference proceeding

Regularized inversion of noisy, incomplete MR spectroscopic imaging data with anatomical prior

J.P Haldar, M Jacob, A Ebel, Xiaoping Zhu, N Schuff, D Hernando, B.P Sutton and Zhi-Pei Liang

3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006, Vol.3, pp.718-721

2006

DOI: 10.1109/ISBI.2006.1625017

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Abstract

This paper addresses the image reconstruction problem in MR spectroscopic imaging experiments where noisy, limited Fourier data are often collected due to temporal constraints. A parametric method is proposed which is capable of incorporating exact and uncertain boundary information. Experimental results show that the technique can generate metabolic images with much higher spatial resolution than the conventional Fourier method and existing constrained reconstruction methods

Computed Tomography

Magnetic Resonance Imaging

Spectroscopy

Jacobian matrices

Gold

Gaussian noise

High-resolution imaging

Character generation

Chromium

Image reconstruction

Details

Title: Subtitle: Regularized inversion of noisy, incomplete MR spectroscopic imaging data with anatomical prior
Creators: J.P Haldar - Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL
M Jacob - Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL
A Ebel
Xiaoping Zhu
N Schuff
D Hernando
B.P Sutton
Zhi-Pei Liang
Resource Type: Conference proceeding
Publication Details: 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006, Vol.3, pp.718-721
Publisher: IEEE
DOI: 10.1109/ISBI.2006.1625017
ISSN: 1945-7928
eISSN: 1945-8452
Language: English
Date published: 2006
Academic Unit: Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Radiology; Iowa Neuroscience Institute; Radiation Oncology
Record Identifier: 9984071708502771

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