Literature DB >> 20363574

Technical aspects of MR perfusion.

Steven Sourbron1.   

Abstract

The most common methods for measuring perfusion with MRI are arterial spin labelling (ASL), dynamic susceptibility contrast (DSC-MRI), and T(1)-weighted dynamic contrast enhancement (DCE-MRI). This review focuses on the latter approach, which is by far the most common in the body and produces measures of capillary permeability as well. The aim is to present a concise but complete overview of the technical issues involved in DCE-MRI data acquisition and analysis. For details the reader is referred to the references. The presentation of the topic is essentially generic and focuses on technical aspects that are common to all DCE-MRI measurements. For organ-specific problems and illustrations, we refer to the other papers in this issue. In Section 1 "Theory" the basic quantities are defined, and the physical mechanisms are presented that provide a relation between the hemodynamic parameters and the DCE-MRI signal. Section 2 "Data acquisition" discusses the issues involved in the design of an optimal measurement protocol. Section 3 "Data analysis" summarizes the steps that need to be taken to determine the hemodynamic parameters from the measured data.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20363574     DOI: 10.1016/j.ejrad.2010.02.017

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  42 in total

Review 1.  The alphabet soup of perfusion CT and MR imaging: terminology revisited and clarified in five questions.

Authors:  Carlos Leiva-Salinas; James M Provenzale; Kohsuke Kudo; Makoto Sasaki; Max Wintermark
Journal:  Neuroradiology       Date:  2012-04-10       Impact factor: 2.804

2.  Prognosis prediction of non-enhancing T2 high signal intensity lesions in glioblastoma patients after standard treatment: application of dynamic contrast-enhanced MR imaging.

Authors:  Rihyeon Kim; Seung Hong Choi; Tae Jin Yun; Soon-Tae Lee; Chul-Kee Park; Tae Min Kim; Ji-Hoon Kim; Sun-Won Park; Chul-Ho Sohn; Sung-Hye Park; Il Han Kim
Journal:  Eur Radiol       Date:  2016-06-29       Impact factor: 5.315

3.  [Contrast-enhanced ultrasound in animal models].

Authors:  P M Paprottka; P Zengel; M Ingrisch; C C Cyran; M Eichhorn; M F Reiser; K Nikolaou; D-A Clevert
Journal:  Radiologe       Date:  2011-06       Impact factor: 0.635

4.  Imaging the efficacy of anti-inflammatory liposomes in a rabbit model of atherosclerosis by non-invasive imaging.

Authors:  Mark E Lobatto; Claudia Calcagno; Josbert M Metselaar; Gert Storm; Erik S G Stroes; Zahi A Fayad; Willem J M Mulder
Journal:  Methods Enzymol       Date:  2012       Impact factor: 1.600

5.  UMMPerfusion: an open source software tool towards quantitative MRI perfusion analysis in clinical routine.

Authors:  Frank G Zöllner; Gerald Weisser; Marcel Reich; Sven Kaiser; Stefan O Schoenberg; Steven P Sourbron; Lothar R Schad
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

Review 6.  Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: a primer.

Authors:  Michael Ingrisch; Steven Sourbron
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-04-06       Impact factor: 2.745

7.  [Preclinical imaging in animal models of radiation therapy].

Authors:  K Nikolaou; C C Cyran; K Lauber; M F Reiser; D-A Clevert
Journal:  Radiologe       Date:  2012-03       Impact factor: 0.635

Review 8.  Tools for cardiovascular magnetic resonance imaging.

Authors:  Ramkumar Krishnamurthy; Benjamin Cheong; Raja Muthupillai
Journal:  Cardiovasc Diagn Ther       Date:  2014-04

9.  Order of CT stroke protocol (CTA before or after CTP): impact on image quality.

Authors:  Franziska Dorn; Thomas Liebig; Daniela Muenzel; Reinhard Meier; Holger Poppert; Ernst J Rummeny; Armin Huber
Journal:  Neuroradiology       Date:  2011-02-23       Impact factor: 2.804

Review 10.  Multiparametric MR Imaging in Abdominal Malignancies.

Authors:  Antonio Luna; Shivani Pahwa; Claudio Bonini; Lidia Alcalá-Mata; Katherine L Wright; Vikas Gulani
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

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