Title
Regularized Inversion Of Noisy, Incomplete Mr Spectroscopic Imaging Data With Anatomical Prior
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.
Year
DOI
Venue
2006
10.1109/ISBI.2006.1625017
2006 3RD IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1-3
Keywords
Field
DocType
chromium,gold,fourier method,image resolution,spectroscopy,computed tomography,gaussian noise,magnetic resonance imaging,spatial resolution,image reconstruction
Iterative reconstruction,Computer vision,Pattern recognition,Computer science,Inversion (meteorology),Fourier transform,Parametric statistics,Artificial intelligence,Image resolution
Conference
ISSN
Citations 
PageRank 
1945-7928
2
0.56
References 
Authors
7
8
Name
Order
Citations
PageRank
Justin P. Haldar135035.40
Mathews Jacob279059.62
Andreas Ebel3121.59
Xiaoping Zhu4132.32
Norbert Schuff537426.44
Diego Hernando61227.94
Brad Sutton719927.18
Zhi-Pei Liang852264.94