Title :
Reconstruction of undersampled dynamic spiral MR images
Author :
Shin, Taehoon ; Nielsen, Jon F. ; Nayak, Krishna S.
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, CA
Abstract :
The temporal resolution of dynamic MRI can be increased by sampling a fraction of k-space in an interleaved fashion, which causes spatial and temporal aliasing. We describe algebraically the aliasing process caused by spiral undersampling to formulate unaliasing as a set of independent inverse problems. Since each linear system is severely ill-conditioned, zeros are assumed in the solution. Specifically the size and the location of assumed zeros necessary for obtaining a unique solution is inspected. To overcome the problems of excessive memory and computation time needed for direct inverse computation, a fast implementation of the conjugate gradient (CG) method is proposed. Simulation using dynamic spiral cardiac images demonstrates improved temporal resolution of the proposed method
Keywords :
biomedical MRI; cardiology; conjugate gradient methods; image reconstruction; image resolution; inverse problems; medical image processing; conjugate gradient method; dynamic MRI; dynamic spiral cardiac images; image reconstruction; independent inverse problems; k-space sampling; spatial aliasing; temporal aliasing; temporal resolution; undersampled dynamic spiral MR images; Character generation; Computational modeling; Image reconstruction; Image resolution; Image sampling; Inverse problems; Linear systems; Magnetic resonance imaging; Spatial resolution; Spirals;
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-9576-X
DOI :
10.1109/ISBI.2006.1624839