Literature DB >> 21571662

Quantitative MR imaging: physical principles and sequence design in abdominal imaging.

Bhavya Shah1, Stephan W Anderson, Jonathan Scalera, Hernan Jara, Jorge A Soto.   

Abstract

Quantitative magnetic resonance (MR) imaging seeks to quantify fundamental biologic and MR-inducible tissue properties, in contrast to the routine application of MR imaging in the clinic, in which differences in MR parameters are used to generate contrast for subsequent subjective image analysis. Fundamental parameters that are commonly quantified by using MR imaging include proton density, diffusion, T1 relaxation, T2 and T2* relaxation, and magnetization transfer. Applications of these MR imaging-quantifiable parameters to abdominal imaging include oncologic imaging, evaluation of diffuse liver disease, and assessment of splenic, renal, and pancreatic disease. An understanding of the inherent physical principles underlying the basic quantitative parameters as well as the commonly used pulse sequences requisite to their derivation is critical, as this field is rapidly growing and its use will likely continue to expand in the clinic. The full potential of quantitative MR imaging applied to abdominal imaging has yet to be realized, but the myriad applications reported to date will undoubtedly continue to grow.
Copyright © RSNA, 2011.

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Year:  2011        PMID: 21571662     DOI: 10.1148/rg.313105155

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


  13 in total

1.  Impact of field strength and RF excitation on abdominal diffusion-weighted magnetic resonance imaging.

Authors:  Philipp Riffel; Raghuram K Rao; Stefan Haneder; Mathias Meyer; Stefan O Schoenberg; Henrik J Michaely
Journal:  World J Radiol       Date:  2013-09-28

2.  Intravoxel incoherent motion diffusion-weighted imaging in the liver: comparison of mono-, bi- and tri-exponential modelling at 3.0-T.

Authors:  Jean-Pierre Cercueil; Jean-Michel Petit; Stéphanie Nougaret; Philippe Soyer; Audrey Fohlen; Marie-Ange Pierredon-Foulongne; Valentina Schembri; Elisabeth Delhom; Sabine Schmidt; Alban Denys; Serge Aho; Boris Guiu
Journal:  Eur Radiol       Date:  2014-12-20       Impact factor: 5.315

3.  Essential Elements to Consider for MRI Cell Tracking Studies with Iron Oxide-based Labeling Agents.

Authors:  Paul C Wang; Liang Shan
Journal:  J Basic Clin Med       Date:  2012

Review 4.  Challenges in ensuring the generalizability of image quantitation methods for MRI.

Authors:  Kathryn E Keenan; Jana G Delfino; Kalina V Jordanova; Megan E Poorman; Prathyush Chirra; Akshay S Chaudhari; Bettina Baessler; Jessica Winfield; Satish E Viswanath; Nandita M deSouza
Journal:  Med Phys       Date:  2021-09-29       Impact factor: 4.506

Review 5.  Pancreatic iron quantification with MR imaging: a practical guide.

Authors:  Antonella Meloni; Vincenzo Positano; Laura Pistoia; Filippo Cademartiri
Journal:  Abdom Radiol (NY)       Date:  2022-05-21

6.  T1-mapping for assessment of ischemia-induced acute kidney injury and prediction of chronic kidney disease in mice.

Authors:  Katja Hueper; Matti Peperhove; Song Rong; Jessica Gerstenberg; Michael Mengel; Martin Meier; Marcel Gutberlet; Susanne Tewes; Amelie Barrmeyer; Rongjun Chen; Herman Haller; Frank Wacker; Dagmar Hartung; Faikah Gueler
Journal:  Eur Radiol       Date:  2014-07-05       Impact factor: 5.315

7.  Implementation of dual-source RF excitation in 3 T MR-scanners allows for nearly identical ADC values compared to 1.5 T MR scanners in the abdomen.

Authors:  Raghuram K Rao; Philipp Riffel; Mathias Meyer; Paul J Kettnaker; Andreas Lemke; Stefan Haneder; Stefan O Schoenberg; Henrik J Michaely
Journal:  PLoS One       Date:  2012-02-29       Impact factor: 3.240

8.  Synthetic magnetic resonance imaging for quantitative parameter evaluation of temporomandibular joint disorders.

Authors:  Chena Lee; Yoon Joo Choi; Kug Jin Jeon; Sang-Sun Han
Journal:  Dentomaxillofac Radiol       Date:  2021-02-05       Impact factor: 3.525

9.  Contrast-enhanced magnetic resonance (MR) T1 mapping with low-dose gadolinium-diethylenetriamine pentaacetic acid (Gd-DTPA) is promising in identifying clear cell renal cell carcinoma histopathological grade and differentiating fat-poor angiomyolipoma.

Authors:  Shuai Wang; Junheng Li; Diru Zhu; Ting Hua; Binghui Zhao
Journal:  Quant Imaging Med Surg       Date:  2020-05

10.  Automatic mapping extraction from multiecho T2-star weighted magnetic resonance images for improving morphological evaluations in human brain.

Authors:  Shaode Yu; Shibin Wu; Yaoqin Xie
Journal:  Comput Math Methods Med       Date:  2013-11-27       Impact factor: 2.238

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