Abstract
Image reconstruction in parallel imaging using an array of phased receiver coils involves solving a matrix equation whose coefficient matrix is formed from estimated coil sensitivity functions. Inaccurate sensitivity functions can create image artifacts and reduce signal-to-noise ratio (SNR). This paper discusses the effects of inaccurate sensitivity functions and proposes some remedies to reduce these effects. Specifically, a spatially varying wavelet denoising method is proposed to improve the accuracy of the estimated sensitivity maps, and a constrained reconstruction method is used to incorporate a priori information about the location of the regions of interest to further improve the SENSE reconstruction.
Original language | English (US) |
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Pages (from-to) | 1112-1115 |
Number of pages | 4 |
Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Volume | 26 II |
State | Published - 2004 |
Event | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: Sep 1 2004 → Sep 5 2004 |
Keywords
- Constrained reconstruction
- MRI
- Parallel imaging
- SENSE
- Sensitivity map
- Wavelet denoising
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics