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Optimized radiofrequency coils for increased signal-to-noise ratio in magnetic resonance microscopy

Publication ,  Journal Article
Hurlston, SE; Cofer, GP; Johnson, GA
Published in: International Journal of Imaging Systems and Technology
January 1, 1997

The signal-to-noise ratio (SNR) is a major obstacle to achieving increased resolution in magnetic resonance microscopy (MRM). The SNR considerations for MRM are presented, with particular attention to the role of judicious receiver coil design in maximizing sensitivity and limiting noise contributions both from the sample and the coil. We present a number of different coil configurations that have been optimized for particular applications of MRM in the biological sciences. An overview of the literature regarding derivations of the SNR for birdcage-configuration volume coils, inductively coupled surface coils, and surgically implanted coils is presented in a unified fashion. Microscopy coils designed to reduce the total volume of excitation, thus coupling more closely to a given region of interest, are discussed. The volume coil is presented in terms of its application to lung imaging in small animals at 2 T and imaging of stroke at 7 T. The performance of traditional surface coils is demonstrated by application to spinal cord imaging in the rat. Finally, implanted coils are examined, as used in studies of the carotid arteries. © 1997 John Wiley & Sons, Inc.

Duke Scholars

Published In

International Journal of Imaging Systems and Technology

DOI

ISSN

0899-9457

Publication Date

January 1, 1997

Volume

8

Issue

3

Start / End Page

277 / 284

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4603 Computer vision and multimedia computation
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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Hurlston, S. E., Cofer, G. P., & Johnson, G. A. (1997). Optimized radiofrequency coils for increased signal-to-noise ratio in magnetic resonance microscopy. International Journal of Imaging Systems and Technology, 8(3), 277–284. https://doi.org/10.1002/(SICI)1098-1098(1997)8:3<277::AID-IMA5>3.0.CO;2-7
Hurlston, S. E., G. P. Cofer, and G. A. Johnson. “Optimized radiofrequency coils for increased signal-to-noise ratio in magnetic resonance microscopy.” International Journal of Imaging Systems and Technology 8, no. 3 (January 1, 1997): 277–84. https://doi.org/10.1002/(SICI)1098-1098(1997)8:3<277::AID-IMA5>3.0.CO;2-7.
Hurlston SE, Cofer GP, Johnson GA. Optimized radiofrequency coils for increased signal-to-noise ratio in magnetic resonance microscopy. International Journal of Imaging Systems and Technology. 1997 Jan 1;8(3):277–84.
Hurlston, S. E., et al. “Optimized radiofrequency coils for increased signal-to-noise ratio in magnetic resonance microscopy.” International Journal of Imaging Systems and Technology, vol. 8, no. 3, Jan. 1997, pp. 277–84. Scopus, doi:10.1002/(SICI)1098-1098(1997)8:3<277::AID-IMA5>3.0.CO;2-7.
Hurlston SE, Cofer GP, Johnson GA. Optimized radiofrequency coils for increased signal-to-noise ratio in magnetic resonance microscopy. International Journal of Imaging Systems and Technology. 1997 Jan 1;8(3):277–284.
Journal cover image

Published In

International Journal of Imaging Systems and Technology

DOI

ISSN

0899-9457

Publication Date

January 1, 1997

Volume

8

Issue

3

Start / End Page

277 / 284

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4603 Computer vision and multimedia computation
  • 0801 Artificial Intelligence and Image Processing