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Chemical exchange saturation transfer (CEST) imaging with fast variably-accelerated sensitivity encoding (vSENSE).
- Source :
-
Magnetic resonance in medicine [Magn Reson Med] 2017 Jun; Vol. 77 (6), pp. 2225-2238. Date of Electronic Publication: 2016 Jul 01. - Publication Year :
- 2017
-
Abstract
- Purpose: The widespread clinical use of chemical exchange saturation transfer (CEST) imaging is hampered by relatively long scan times due to its requirement that multiple saturation-offset image frames be acquired. Here, a novel variably-accelerated sensitivity encoding (vSENSE) method is proposed that provides faster CEST acquisition than conventional SENSE.<br />Theory and Methods: The vSENSE method fully samples one CEST saturation frame, then undersamples the other frames variably. The fully-sampled frame, in conjunction with newly proposed incoherence absorption and artifact suppression strategies, improves the accuracy of sensitivity maps and permits higher acceleration factors for the other undersampled frames than regular SENSE. vSENSE is validated in a phantom, a normal volunteer and eight brain tumor patients at 3 Tesla.<br />Results: vSENSE with an acceleration factor of four generated a 3-6 times smaller error on average than conventional SENSE (Pāā¤ā0.02), with acceleration factors of 2-4, as compared with full k-space reconstruction. vSENSE permitted four-fold acceleration for amide proton transfer-weighted images, while regular SENSE could only provide a factor of two. When conventional SENSE is used with vSENSE's variable undersampling pattern, erroneous (ā¼9%) z-spectra result.<br />Conclusion: The vSENSE method enabled twice the acceleration and generated more accurate images than conventional SENSE. Magn Reson Med 77:2225-2238, 2017. © 2016 International Society for Magnetic Resonance in Medicine.<br /> (© 2016 International Society for Magnetic Resonance in Medicine.)
- Subjects :
- Algorithms
Humans
Image Enhancement methods
Magnetic Resonance Imaging instrumentation
Phantoms, Imaging
Reproducibility of Results
Sensitivity and Specificity
Brain Neoplasms diagnostic imaging
Brain Neoplasms metabolism
Image Interpretation, Computer-Assisted methods
Magnetic Resonance Imaging methods
Magnetic Resonance Spectroscopy methods
Molecular Imaging methods
Signal Processing, Computer-Assisted
Subjects
Details
- Language :
- English
- ISSN :
- 1522-2594
- Volume :
- 77
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Magnetic resonance in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 27364631
- Full Text :
- https://doi.org/10.1002/mrm.26307