Accelerating chemical exchange saturation transfer (CEST) MRI by combining compressed sensing and sensitivity encoding techniques

Hye Young Heo, Yi Zhang, Dong Hoon Lee, Shanshan Jiang, Xuna Zhao, Jinyuan Zhou

Research output: Contribution to journalArticle

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(3.5ppm) 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(3.5ppm) image quality. The MTRasym(3.5ppm) 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(3.5ppm) signals were significantly higher in the tumor region (Gd-enhancing tumor core) than in the normal-appearing white matter (Pasym(3.5ppm) 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.

Original languageEnglish (US)
JournalMagnetic Resonance in Medicine
DOIs
StateAccepted/In press - 2016

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Healthy Volunteers
R Factors
Glioma
Neoplasms
White Matter

Keywords

  • APT
  • Brain tumor
  • CEST
  • Compressed sensing
  • SENSE

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

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title = "Accelerating chemical exchange saturation transfer (CEST) MRI by combining compressed sensing and sensitivity encoding techniques",
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(3.5ppm) 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(3.5ppm) image quality. The MTRasym(3.5ppm) 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(3.5ppm) signals were significantly higher in the tumor region (Gd-enhancing tumor core) than in the normal-appearing white matter (Pasym(3.5ppm) 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.",
keywords = "APT, Brain tumor, CEST, Compressed sensing, SENSE",
author = "Heo, {Hye Young} and Yi Zhang and Lee, {Dong Hoon} and Shanshan Jiang and Xuna Zhao and Jinyuan Zhou",
year = "2016",
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language = "English (US)",
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T1 - Accelerating chemical exchange saturation transfer (CEST) MRI by combining compressed sensing and sensitivity encoding techniques

AU - Heo, Hye Young

AU - Zhang, Yi

AU - Lee, Dong Hoon

AU - Jiang, Shanshan

AU - Zhao, Xuna

AU - Zhou, Jinyuan

PY - 2016

Y1 - 2016

N2 - 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(3.5ppm) 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(3.5ppm) image quality. The MTRasym(3.5ppm) 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(3.5ppm) signals were significantly higher in the tumor region (Gd-enhancing tumor core) than in the normal-appearing white matter (Pasym(3.5ppm) 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.

AB - 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(3.5ppm) 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(3.5ppm) image quality. The MTRasym(3.5ppm) 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(3.5ppm) signals were significantly higher in the tumor region (Gd-enhancing tumor core) than in the normal-appearing white matter (Pasym(3.5ppm) 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.

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