Literature DB >> 28985137

Principles of Quantitative MR Imaging with Illustrated Review of Applicable Modular Pulse Diagrams.

Andrew F Mills1, Osamu Sakai1, Stephan W Anderson1, Hernan Jara1.   

Abstract

Continued improvements in diagnostic accuracy using magnetic resonance (MR) imaging will require development of methods for tissue analysis that complement traditional qualitative MR imaging studies. Quantitative MR imaging is based on measurement and interpretation of tissue-specific parameters independent of experimental design, compared with qualitative MR imaging, which relies on interpretation of tissue contrast that results from experimental pulse sequence parameters. Quantitative MR imaging represents a natural next step in the evolution of MR imaging practice, since quantitative MR imaging data can be acquired using currently available qualitative imaging pulse sequences without modifications to imaging equipment. The article presents a review of the basic physical concepts used in MR imaging and how quantitative MR imaging is distinct from qualitative MR imaging. Subsequently, the article reviews the hierarchical organization of major applicable pulse sequences used in this article, with the sequences organized into conventional, hybrid, and multispectral sequences capable of calculating the main tissue parameters of T1, T2, and proton density. While this new concept offers the potential for improved diagnostic accuracy and workflow, awareness of this extension to qualitative imaging is generally low. This article reviews the basic physical concepts in MR imaging, describes commonly measured tissue parameters in quantitative MR imaging, and presents the major available pulse sequences used for quantitative MR imaging, with a focus on the hierarchical organization of these sequences. ©RSNA, 2017.

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Mesh:

Year:  2017        PMID: 28985137     DOI: 10.1148/rg.2017160099

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  4 in total

1.  A Radio-Nano-Platform for T1/T2 Dual-Mode PET-MR Imaging.

Authors:  Yaser Hadi Gholami; Hushan Yuan; Moses Q Wilks; Richard Maschmeyer; Marc D Normandin; Lee Josephson; Georges El Fakhri; Zdenka Kuncic
Journal:  Int J Nanomedicine       Date:  2020-02-24

Review 2.  Magnetic Resonance Imaging for Translational Research in Oncology.

Authors:  Maria Felicia Fiordelisi; Carlo Cavaliere; Luigi Auletta; Luca Basso; Marco Salvatore
Journal:  J Clin Med       Date:  2019-11-06       Impact factor: 4.241

3.  Synthetic MRI for Radiotherapy Planning for Brain and Prostate Cancers: Phantom Validation and Patient Evaluation.

Authors:  Pierrick Gouel; Sebastien Hapdey; Arthur Dumouchel; Isabelle Gardin; Eva Torfeh; Pauline Hinault; Pierre Vera; Sebastien Thureau; David Gensanne
Journal:  Front Oncol       Date:  2022-04-20       Impact factor: 5.738

Review 4.  Gastric cancer and imaging biomarkers: Part 1 - a critical review of DW-MRI and CE-MDCT findings.

Authors:  Francesco Giganti; Lei Tang; Hideo Baba
Journal:  Eur Radiol       Date:  2018-10-02       Impact factor: 5.315

  4 in total

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