TY - GEN
T1 - Further development in anatomically constrained MR image reconstruction
T2 - 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
AU - Haldar, Justin P.
AU - Wu, Tzy Haw
AU - Wang, Qing
AU - Chen, Chin I.
AU - Song, Sheng Kwei
AU - Liang, Zhi Pei
PY - 2008
Y1 - 2008
N2 - MR imaging can leverage a wide variety of intrinsic contrast mechanisms to provide detailed information regarding the anatomy, function, physiology, and metabolism of biological tissues. However, because of low sensitivity, many experiments that reveal higher-order structure and function have been limited due to inherent trade-offs between data acquisition time, signal-to-noise ratio, and resolution. This paper describes the further development of a statistical framework for MR image reconstruction which helps to mitigate these effects. Specifically, we advocate the collection of high-resolution multi-modal MR imaging data, and utilize the correlation between features in these different images to reduce noise while maintaining resolution. The proposed approach is illustrated with joint reconstruction of relaxometry and spectroscopic imaging data in a mouse model of stroke.
AB - MR imaging can leverage a wide variety of intrinsic contrast mechanisms to provide detailed information regarding the anatomy, function, physiology, and metabolism of biological tissues. However, because of low sensitivity, many experiments that reveal higher-order structure and function have been limited due to inherent trade-offs between data acquisition time, signal-to-noise ratio, and resolution. This paper describes the further development of a statistical framework for MR image reconstruction which helps to mitigate these effects. Specifically, we advocate the collection of high-resolution multi-modal MR imaging data, and utilize the correlation between features in these different images to reduce noise while maintaining resolution. The proposed approach is illustrated with joint reconstruction of relaxometry and spectroscopic imaging data in a mouse model of stroke.
UR - http://www.scopus.com/inward/record.url?scp=61849147828&partnerID=8YFLogxK
U2 - 10.1109/iembs.2008.4649180
DO - 10.1109/iembs.2008.4649180
M3 - Conference contribution
C2 - 19162683
AN - SCOPUS:61849147828
SN - 9781424418152
T3 - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
SP - 422
EP - 425
BT - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
PB - IEEE Computer Society
Y2 - 20 August 2008 through 25 August 2008
ER -