New advances in MRI

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Scopus citations

Abstract

Since its initial use in humans in the early 1980s magnetic resonance imaging (MRI) has become a widely used clinical imaging modality. Nonetheless, there continue to be opportunities for further advances. One of these is improved technology. Specific projects include high field strength magnets at 3 Tesla and beyond and an increased number of receiver channels for data acquisition, permitting improved SNR and reduced acquisition time. A second area is the further study of image formation, including the manner of sampling "k-space" and the specific type of image contrast. A third area is the in-creased exploitation of high speed computation to allow every-day implementation of techniques other-wise limited to research labs. Finally, MR is growing in its usage as a non-invasive, reproducible, and quantitative test in the study of non-clinical questions. MRI continues to be an area with a wealth of opportunity for contemporary study.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsGuang-Zhong Yang, Tianzi Jiang
PublisherSpringer Verlag
Pages1-9
Number of pages9
ISBN (Print)3540228772, 9783540228776
DOIs
StatePublished - Jan 1 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3150
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Riederer, S. J. (2004). New advances in MRI. In G-Z. Yang, & T. Jiang (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 1-9). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3150). Springer Verlag. https://doi.org/10.1007/978-3-540-28626-4_1