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. Haldar | 1 | 350 | 35.40 |
Mathews Jacob | 2 | 790 | 59.62 |
Andreas Ebel | 3 | 12 | 1.59 |
Xiaoping Zhu | 4 | 13 | 2.32 |
Norbert Schuff | 5 | 374 | 26.44 |
Diego Hernando | 6 | 122 | 7.94 |
Brad Sutton | 7 | 199 | 27.18 |
Zhi-Pei Liang | 8 | 522 | 64.94 |