TY - GEN
T1 - Joint reconstruction of noisy high-resolution MR image sequences
AU - Haldar, Justin P.
AU - Liang, Zhi Pei
PY - 2008
Y1 - 2008
N2 - Quantitative MR studies often utilize sequences of coregistered images, where the contrast in each image frame is experimentally manipulated to enable the regression of important physical parameters. However, the potential of these experiments has been limited for high-resolution biological studies because of long acquisition times and limited signal-tonoise ratio. This work presents a new approach for the reconstruction of an image sequence from noisy data, using a statistical model that incorporates an implicit line-site prior to take advantage of the high level of inter-frame correlation between spatial image features. Reconstructions are efficiently computed using a globally-convergent half-quadratic iterative algorithm, and the proposed optimization procedure enables precise characterization of resolution and noise properties.
AB - Quantitative MR studies often utilize sequences of coregistered images, where the contrast in each image frame is experimentally manipulated to enable the regression of important physical parameters. However, the potential of these experiments has been limited for high-resolution biological studies because of long acquisition times and limited signal-tonoise ratio. This work presents a new approach for the reconstruction of an image sequence from noisy data, using a statistical model that incorporates an implicit line-site prior to take advantage of the high level of inter-frame correlation between spatial image features. Reconstructions are efficiently computed using a globally-convergent half-quadratic iterative algorithm, and the proposed optimization procedure enables precise characterization of resolution and noise properties.
KW - Denoising
KW - Half-quadratic regularization
KW - Image reconstruction
KW - Image sequences
KW - Magnetic resonance imaging
UR - http://www.scopus.com/inward/record.url?scp=51049095896&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51049095896&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2008.4541105
DO - 10.1109/ISBI.2008.4541105
M3 - Conference contribution
AN - SCOPUS:51049095896
SN - 9781424420032
T3 - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI
SP - 752
EP - 755
BT - 2008 5th IEEE International Symposium on Biomedical Imaging
T2 - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
Y2 - 14 May 2008 through 17 May 2008
ER -