Parallel magnetic resonance imaging using compressed sensing

Ali Bilgin, Yookyung Kim, Hariharan G. Lalgudi, Theodore "Ted" Trouard, Maria I Altbach

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

4 Citations (Scopus)

Abstract

Although magnetic resonance imaging (MRI) is routinely used in clinical practice, long acquisition times limit its practical utility in many applications. To increase the data acquisition speed of MRI, parallel MRI (pMRI) techniques have recently been proposed. These techniques utilize multi-channel receiver arrays and are based on simultaneous acquisition of data from multiple receiver coils. Recently, a novel framework called Compressed Sensing (CS) was introduced. Since this new framework illustrates how signals can be reconstructed from much fewer samples than suggested by the Nyquist theory, it has the potential to significantly accelerate data acquisition in MRI. This paper illustrates that CS and pMRI techniques can be combined and such joint processing yields results that are superior to those obtained from independent utilization of each technique.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume7073
DOIs
StatePublished - 2008
EventApplications of Digital Image Processing XXXI - San Diego, CA, United States
Duration: Aug 11 2008Aug 14 2008

Other

OtherApplications of Digital Image Processing XXXI
CountryUnited States
CitySan Diego, CA
Period8/11/088/14/08

Fingerprint

Compressed sensing
Compressed Sensing
Magnetic Resonance Imaging
Magnetic resonance
magnetic resonance
Imaging techniques
Data Acquisition
data acquisition
Data acquisition
acquisition
Receiver
receivers
Coil
imaging techniques
Magnetic resonance imaging
Accelerate
coils
Processing
Framework
Acquisition

Keywords

  • Compressed sensing
  • Compressive sampling
  • Magnetic resonance imaging
  • Parallel imaging

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Bilgin, A., Kim, Y., Lalgudi, H. G., Trouard, T. T., & Altbach, M. I. (2008). Parallel magnetic resonance imaging using compressed sensing. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 7073). [70731G] https://doi.org/10.1117/12.797206

Parallel magnetic resonance imaging using compressed sensing. / Bilgin, Ali; Kim, Yookyung; Lalgudi, Hariharan G.; Trouard, Theodore "Ted"; Altbach, Maria I.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7073 2008. 70731G.

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

Bilgin, A, Kim, Y, Lalgudi, HG, Trouard, TT & Altbach, MI 2008, Parallel magnetic resonance imaging using compressed sensing. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 7073, 70731G, Applications of Digital Image Processing XXXI, San Diego, CA, United States, 8/11/08. https://doi.org/10.1117/12.797206
Bilgin A, Kim Y, Lalgudi HG, Trouard TT, Altbach MI. Parallel magnetic resonance imaging using compressed sensing. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7073. 2008. 70731G https://doi.org/10.1117/12.797206
Bilgin, Ali ; Kim, Yookyung ; Lalgudi, Hariharan G. ; Trouard, Theodore "Ted" ; Altbach, Maria I. / Parallel magnetic resonance imaging using compressed sensing. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7073 2008.
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