DocumentCode :
1608796
Title :
Integrating Parallel Imaging with Generalized Series for Accelerated Dynamic Imaging
Author :
Xu, Dan ; Wiener, Erik ; Aref, Mike ; Ying, Leslie ; Ji, Jim ; Liang, Zhi-Pei
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL
fYear :
2006
Firstpage :
1434
Lastpage :
1437
Abstract :
One key problem in MR dynamic imaging (e.g. dynamic contrast-enhanced (DCE) imaging of breast cancer) is low spatiotemporal resolution. To tackle this problem, this paper presents a novel method to integrate parallel imaging using multiple receiver coils with generalized series (GS) imaging. The proposed method takes advantage of both the conventional parallel data acquisition scheme and the GS model-based imaging method to achieve higher spatiotemporal resolution in dynamic imaging. Simulations on human breast cancer imaging and mammary tumor imaging of rat and the experiment on DCE imaging of human chest tumors yielded excellent results by the proposed method
Keywords :
biomedical MRI; cancer; image resolution; mammography; spatiotemporal phenomena; MR dynamic imaging; accelerated dynamic imaging; dynamic contrast-enhanced imaging; generalized series imaging; human breast cancer imaging; human chest tumors; mammary tumor imaging; multiple receiver coils; parallel data acquisition; spatiotemporal resolution; Acceleration; Breast cancer; Breast neoplasms; Coils; High-resolution imaging; Humans; Image coding; Image resolution; Magnetic resonance imaging; Spatiotemporal phenomena;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
Type :
conf
DOI :
10.1109/IEMBS.2005.1616700
Filename :
1616700
Link To Document :
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