DocumentCode :
2185781
Title :
Generalized series dynamic imaging with deformable references [MRI application]
Author :
Ji, Xiuquun ; Zhi-Pei Liang
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
fYear :
2002
fDate :
2002
Firstpage :
789
Lastpage :
792
Abstract :
Many imaging applications require the acquisition of a time series of images. Conventional full-scan methods acquire each of these images independently, resulting in a tradeoff between spatial resolution and temporal resolution. To address this problem, a generalized series-based reduced-encoding method has been proposed, which collects one or a few high-resolution references and a sequence of reduced data sets. This paper extends this imaging scheme to allow deformable references to be used to compensate for possible geometric variations between the references and the reduced data sets. The deformable references are constructed using a thin-plate spline model and a mutual information-based registration algorithm. Simulation results demonstrate that the proposed method can handle large geometric changes such as those encountered in cardiac imaging.
Keywords :
biomedical MRI; cardiology; image coding; image registration; image resolution; medical image processing; splines (mathematics); time series; cardiac imaging; deformable references; generalized series dynamic imaging; generalized series-based reduced-encoding method; large geometric changes; magnetic resonance imaging; medical diagnostic imaging; possible geometric variations; reduced data sets sequence; thin-plate spline model; Application software; Deformable models; Encoding; High-resolution imaging; Image coding; Image reconstruction; Image resolution; Solid modeling; Spatial resolution; Spline;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7584-X
Type :
conf
DOI :
10.1109/ISBI.2002.1029376
Filename :
1029376
Link To Document :
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