Proceedings of the KSMRM Conference (대한자기공명의과학회:학술대회논문집)
- 2003.10a
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- Pages.71-71
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- 2003
A Tool for Reconstruction of the Sensitivity Encoded Data with Sensitivity Encoding (SENSE)
- Yun, Sung-Dae (Dept. of Electrical Engineering, KAIST) ;
- Song, Myung-Sung (fMRI Lab., Brain Science Research Center, KAIST) ;
- Chung, Jun-Young (Dept. of Electrical Engineering, KAIST) ;
- Park, Hyun-Wook (Dept. of Electrical Engineering, KAIST)
- Published : 2003.10.01
Abstract
For fast MRI, the number of phase encoding steps has to be reduced. However, the reconstructed image is aliased if the phase encoding steps don't satisfy Nyquist sampling theory. SENSE is used in order to eliminate the aliasing effect as well as to reduce imaging time. SENSE is a linear algebraic technique applied to the multiple receiver data. In this study, we implement a tool to reconstruct the original image (SENSE image) with Sensitivity Encoding (SENSE)
Keywords