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Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...

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Related Experiment Video

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Multiple-mouse Neuroanatomical Magnetic Resonance Imaging
09:08

Multiple-mouse Neuroanatomical Magnetic Resonance Imaging

Published on: February 27, 2011

Massively parallel MRI detector arrays.

Boris Keil1, Lawrence L Wald

  • 1A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, USA. keil@nmr.mgh.harvard.edu

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|March 5, 2013
PubMed
Summary
This summary is machine-generated.

Parallel imaging uses MRI array coils for faster scans. This review explores higher channel counts, optimal data combination, and advanced RF methods for highly accelerated imaging.

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Imaging Technology

Background:

  • Parallel imaging, initially for sensitivity enhancement, now uses array coils for image encoding.
  • Array coils with multiple smaller elements are standard in clinical MRI for signal detection.

Purpose of the Study:

  • To review the theoretical and experimental basis for increasing channel counts in parallel MRI.
  • To analyze ultimate signal-to-noise ratio (SNR) and g-factor in high-channel-count arrays.
  • To discuss optimal array data combination and RF methodology for massively parallel MRI.

Main Methods:

  • Review of theoretical and experimental studies on parallel MRI.
  • Analysis of signal-to-noise ratio (SNR) and g-factor in high-channel-count systems.
  • Examination of radiofrequency (RF) methodology for constructing large MRI detector arrays.

Main Results:

  • The trend towards higher channel counts is supported by modeling and experimental data.
  • Theoretical analysis provides insights into ultimate SNR and g-factor limitations.
  • Optimal data combination and RF methods are crucial for advanced parallel MRI.

Conclusions:

  • Massively parallel MRI detector arrays enable highly accelerated imaging.
  • Advancements in RF methodology are key to constructing these advanced arrays.
  • Parallel imaging continues to evolve, impacting clinical MRI examinations.