## Abstract A novel method for reconstructing MRI temperature maps from undersampled data is presented. The method, model predictive filtering, combines temperature predictions from a preidentified thermal model with undersampled __k__βspace data to create temperature maps in near real time. The mo
Temporal resolution improvement in dynamic imaging
β Scribed by Jill O. Fredrickson; Norbert J. Pelc
- Book ID
- 102953688
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 611 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0740-3194
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β¦ Synopsis
Abstract
In some dynamic imaging applications, only a fraction, 1/n, of the field of view (FOV) may show considerable change during the motion cycle. A method is presented that improves the temporal resolution for a dynamic region by a factor, n, while maintaining spatial resolution at a cost of βn in signalβtoβnoise ratio (SNR). Temporal resolution is improved, or alternatively, total imaging time is reduced by reducing the number of phase encodes acquired for each temporal frame by 1/n. To eliminate aliasing, a representation of the signal from the static outer portion of the FOV is constructed using all the raw data. The kβspace data derived from this representation is subtracted from the original data sets, and the differences correspond to the dynamic portion of the FOV. Improved resolution results are presented in phantom studies, and in vivo phase contrast quantitative flow imaging.
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