Compressive sensing could accelerate 1H MR metabolic imaging in the clinic

Sairam Geethanath, Hyeon Man Baek, Sandeep K. Ganji, Yao Ding, Elizabeth A. Maher, Robert D. Sims, Changho Choi, Matthew A. Lewis, Vikram D. Kodibagkar

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Purpose: To retrospectively evaluate the fidelity of magnetic resonance (MR) spectroscopic imaging data preservation at a range of accelerations by using compressed sensing. Materials and Methods: The protocols were approved by the institutional review board of the university, and written informed consent to acquire and analyze MR spectroscopic imaging data was obtained from the subjects prior to the acquisitions. This study was HIPAA compliant. Retrospective application of compressed sensing was performed on 10 clinical MR spectroscopic imaging data sets, yielding 600 voxels from six normal brain data sets, 163 voxels from two brain tumor data sets, and 36 voxels from two prostate cancer data sets for analysis. The reconstructions were performed at acceleration factors of two, three, four, five, and 10 and were evaluated by using the root mean square error (RMSE) metric, metabolite maps (choline, creatine, N-acetylaspartate [NAA], and/or citrate), and statistical analysis involving a voxelwise paired t test and one-way analysis of variance for metabolite maps and ratios for comparison of the accelerated reconstruction with the original case. Results: The reconstructions showed high fidelity for accelerations up to 10 as determined by the low RMSE (< 0.05). Similar means of the metabolite intensities and hot-spot localization on metabolite maps were observed up to a factor of five, with lack of statistically significant differences compared with the original data. The metabolite ratios of choline to NAA and choline plus creatine to citrate did not show significant differences from the original data for up to an acceleration factor of five in all cases and up to that of 10 for some cases. Conclusion: A reduction of acquisition time by up to 80%, with negligible loss of information as evaluated with clinically relevant metrics, has been successfully demonstrated for hydrogen 1 MR spectroscopic imaging.

Original languageEnglish (US)
Pages (from-to)985-994
Number of pages10
JournalRadiology
Volume262
Issue number3
DOIs
StatePublished - Mar 2012

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Choline
Magnetic Resonance Imaging
Creatine
Citric Acid
Health Insurance Portability and Accountability Act
Research Ethics Committees
Informed Consent
Brain Neoplasms
Hydrogen
Prostatic Neoplasms
Analysis of Variance
Datasets
Brain
N-acetylaspartate

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Geethanath, S., Baek, H. M., Ganji, S. K., Ding, Y., Maher, E. A., Sims, R. D., ... Kodibagkar, V. D. (2012). Compressive sensing could accelerate 1H MR metabolic imaging in the clinic. Radiology, 262(3), 985-994. https://doi.org/10.1148/radiol.11111098

Compressive sensing could accelerate 1H MR metabolic imaging in the clinic. / Geethanath, Sairam; Baek, Hyeon Man; Ganji, Sandeep K.; Ding, Yao; Maher, Elizabeth A.; Sims, Robert D.; Choi, Changho; Lewis, Matthew A.; Kodibagkar, Vikram D.

In: Radiology, Vol. 262, No. 3, 03.2012, p. 985-994.

Research output: Contribution to journalArticle

Geethanath, S, Baek, HM, Ganji, SK, Ding, Y, Maher, EA, Sims, RD, Choi, C, Lewis, MA & Kodibagkar, VD 2012, 'Compressive sensing could accelerate 1H MR metabolic imaging in the clinic', Radiology, vol. 262, no. 3, pp. 985-994. https://doi.org/10.1148/radiol.11111098
Geethanath, Sairam ; Baek, Hyeon Man ; Ganji, Sandeep K. ; Ding, Yao ; Maher, Elizabeth A. ; Sims, Robert D. ; Choi, Changho ; Lewis, Matthew A. ; Kodibagkar, Vikram D. / Compressive sensing could accelerate 1H MR metabolic imaging in the clinic. In: Radiology. 2012 ; Vol. 262, No. 3. pp. 985-994.
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