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

Author

Haldar, Justin P. ; Jacob, Mathews ; Ebel, Andreas ; Zhu, Xiaoping ; Schuff, Norbert ; Hernando, Diego ; Sutton, Bradley P. ; Liang, Zhi-Pei

Author_Institution

Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL

fYear

2006

fDate

6-9 April 2006

Firstpage

718

Lastpage

721

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

Keywords

biomedical MRI; image reconstruction; image resolution; medical image processing; anatomical prior; exact boundary information; high spatial resolution; image reconstruction; metabolic images; noisy incomplete MR spectroscopic imaging data; noisy limited Fourier data; parametric method; regularized inversion; uncertain boundary information; Character generation; Chromium; Computed tomography; Gaussian noise; Gold; High-resolution imaging; Image reconstruction; Jacobian matrices; Magnetic resonance imaging; Spectroscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

0-7803-9576-X

Type

conf

DOI

10.1109/ISBI.2006.1625017

Filename

1625017