Curvelets as a sparse basis for compressed sensing magnetic resonance imaging

David S. Smith, Lori R. Arlinghaus, Thomas E. Yankeelov, E. Brian Welch

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We present an example of compressed sensing magnetic resonance imaging reconstruction where curvelets instead of wavelets provide a superior sparse basis when coupled to a group sparse representation of chemical exchange saturation transfer (CEST) imaging of the human breast. Taking a fully sampled CEST acquisition from a healthy volunteer, we retrospectively undersampled by a factor of four. We find that a group-sparse formulation of the reconstruction coupled with either Cohen-Daubechies-Feauveau 9/7 wavelets or curvelets provided superior results to a spatial-only regularized reconstruction. Between the group sparse reconstructions, the curvelet-regularized reconstruction outperformed the wavelet-regularized reconstruction.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2013
Subtitle of host publicationImage Processing
DOIs
StatePublished - Jun 3 2013
EventMedical Imaging 2013: Image Processing - Lake Buena Vista, FL, United States
Duration: Feb 10 2013Feb 12 2013

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8669
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2013: Image Processing
CountryUnited States
CityLake Buena Vista, FL
Period2/10/132/12/13

Fingerprint

Compressed sensing
Magnetic resonance
magnetic resonance
Healthy Volunteers
Breast
Magnetic Resonance Imaging
Imaging techniques
saturation
breast
acquisition
formulations

Keywords

  • Compressed sensing
  • Curvelet
  • Image processing
  • MRI
  • Wavelet

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Cite this

Smith, D. S., Arlinghaus, L. R., Yankeelov, T. E., & Welch, E. B. (2013). Curvelets as a sparse basis for compressed sensing magnetic resonance imaging. In Medical Imaging 2013: Image Processing [866929] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8669). https://doi.org/10.1117/12.2007032

Curvelets as a sparse basis for compressed sensing magnetic resonance imaging. / Smith, David S.; Arlinghaus, Lori R.; Yankeelov, Thomas E.; Welch, E. Brian.

Medical Imaging 2013: Image Processing. 2013. 866929 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8669).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Smith, DS, Arlinghaus, LR, Yankeelov, TE & Welch, EB 2013, Curvelets as a sparse basis for compressed sensing magnetic resonance imaging. in Medical Imaging 2013: Image Processing., 866929, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 8669, Medical Imaging 2013: Image Processing, Lake Buena Vista, FL, United States, 2/10/13. https://doi.org/10.1117/12.2007032
Smith DS, Arlinghaus LR, Yankeelov TE, Welch EB. Curvelets as a sparse basis for compressed sensing magnetic resonance imaging. In Medical Imaging 2013: Image Processing. 2013. 866929. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). https://doi.org/10.1117/12.2007032
Smith, David S. ; Arlinghaus, Lori R. ; Yankeelov, Thomas E. ; Welch, E. Brian. / Curvelets as a sparse basis for compressed sensing magnetic resonance imaging. Medical Imaging 2013: Image Processing. 2013. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).
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