Автор Denis Hoa
After reading this chapter, you should be able:
- To present the particularities of coils and the radiofrequency system for parallel imaging
- Explain the increased signal-to-noise ratio using phased array coils
- Describe the principles of acceleration in parallel acquisition
- Compare the 2 main groups of reconstruction algorithms
- List the advantages and drawbacks of parallel acquisition and its clinical applications
- Parallel imaging exploits the multiple elements of a phased array coil. Each element is associated with a dedicated radiofrequency channel whose signals can be processed and combined together.
- This improves the signal-to-noise ratio compared to a standard single-element coil covering the same explored volume.
- The spatial data yielded by the array of coil elements can be used for partial phase encoding only, to speed up acquisition. The acceleration factors routinely employed at 1.5 T range from 2 to 3. At higher fields, these can be higher.
- Reconstruction algorithms for the intermediary, undersampled phase images are divided into 2 groups:
- Those which reconstruct the global image before Fourier transformation: these operate in the frequency domain (SMASH, GRAPPA)
- Those which reconstruct the image after Fourier transformation, in the image domain (SENSE, mSENSE)
- These algorithms require calibration data for the volume explored by each coil element and the signal produced. Calibration is carried out before or during the imaging sequence (self-calibration).
- The objective is either to recreate the missing k-space lines (SMASH, GRAPPA), or to “unfold” the image due to aliasing (SENSE).
- The advantages of these techniques are numerous: reduced acquisition time (fast imaging, breath-hold, temporal resolution, perfusion and functional imaging etc.) reduced TE of sequences with echo train, reduction of certain artifacts …
- Their main drawback is a decrease in signal to noise ratio compared to a non-accelerated sequence (fewer measurements, g factor etc.)
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