Accelerating chemical exchange saturation transfer (CEST) MRI by combining compressed sensing and sensitivity encoding techniques. Issue 2 (17th February 2016)

• Record Type: Journal Article
• Authors: Heo, Hye‐Young; Zhang, Yi; Lee, Dong‐Hoon; Jiang, Shanshan; Zhao, Xuna; Zhou, Jinyuan
• Is Part Of: Magnetic resonance in medicine. Volume 77:Issue 2(2017)
• Page Start: 779
• Page End: 786
• Publication Date: 2016-02-17
• Subjects: CEST -- APT -- brain tumor -- compressed sensing -- SENSE; Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.26141
• Languages: English
• ISSNs: 0740-3194

Abstract

Abstract : Purpose: To evaluate the feasibility of accelerated chemical‐exchange‐saturation‐transfer (CEST) imaging using a combination of compressed sensing (CS) and sensitivity encoding (SENSE) at 3 Tesla. Theory and Methods: Two healthy volunteers and six high‐grade glioma patients were recruited. Raw CEST image k‐space data were acquired (with varied radiofrequency saturation power levels for the healthy volunteer study), and a sequential CS and SENSE reconstruction (CS‐SENSE) was assessed. The MTRasym (3.5 ppm) signals were compared with varied CS‐SENSE acceleration factors. Results: In the healthy volunteer study, a CS‐SENSE acceleration factor of R = 2 × 2 (CS × SENSE) was achieved without compromising the reconstructed MTRasym (3.5 ppm) image quality. The MTRasym (3.5 ppm) signals obtained from the CS‐SENSE reconstruction with R = 2 × 2 were well preserved compared with the reference image (R = 2 for only SENSE). In the glioma patient study, the MTRasym (3.5 ppm) signals were significantly higher in the tumor region (Gd‐enhancing tumor core) than in the normal‐appearing white matter ( P < 0.001). There was no significant MTRasym (3.5 ppm) difference between the reference image and CS‐SENSE‐reconstructed image in the acceleration factor of R = 2 × 2. Conclusion: Combining the SENSE technique with CS (R = 2 × 2) enables considerable acceleration of CEST image acquisition and potentially has a wide range of clinical applications. Magn Reson Med 77:779–786, 2017. © 2016 International Society for Magnetic Resonance in Medicine