Literature DB >> 16891228

How to perform an accurate assessment of cardiac function in mice using high-resolution magnetic resonance imaging.

Jürgen E Schneider1, Frank Wiesmann, Craig A Lygate, Stefan Neubauer.   

Abstract

High-resolution magnetic resonance cine imaging (cine-MRI) is a method that allows for a non-invasive assessment of left ventricular function and mass. To perform this quantitation, hearts are imaged from the base to the apex by a stack of two-dimensional images. Thus, analysis of myocardial mass and function by cine-MRI does not rely on geometric assumptions. Geometric and functional parameters, such as end-diastolic volume (EDV), end-systolic volume (ESV) or ejection fraction (EF), are obtained by subsequent image segmentation of the respective cine frames in each slice. While this technique has been well established in clinical practice, it is now rapidly becoming the reference method in experimental cardiovascular MRI for accurate quantification of cardiac parameters, thereby aiding the phenotyping of the increasing number of transgenic and surgical mouse models. However, accurate measurement of cardiac functional parameters requires the images to be acquired in short-axis orientation of the heart, which can be difficult to define, particularly in animals with diseased hearts. Furthermore, data analysis can be the source of a systematic error, mainly for myocardial mass measurement. Here, we describe a protocol that allows for a quick and reproducible approach of obtaining the relevant cardiac views for cine-MRI, and we explain how an accurate experimental image analysis can be performed.

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Year:  2006        PMID: 16891228     DOI: 10.1080/10976640600723664

Source DB:  PubMed          Journal:  J Cardiovasc Magn Reson        ISSN: 1097-6647            Impact factor:   5.364


  30 in total

1.  Characterization of the failing murine heart in a desmin knock-out model using a clinical 3 T MRI scanner.

Authors:  A M Sprinkart; W Block; F Träber; R Meyer; D Paulin; C S Clemen; R Schröder; J Gieseke; H Schild; D Thomas
Journal:  Int J Cardiovasc Imaging       Date:  2011-12-09       Impact factor: 2.357

2.  PET/MRI assessment of the infarcted mouse heart.

Authors:  Guido Buonincontri; Carmen Methner; Thomas Krieg; Robert C Hawkes; T Adrian Carpenter; Stephen J Sawiak
Journal:  Nucl Instrum Methods Phys Res A       Date:  2014-01-11       Impact factor: 1.455

3.  Resveratrol improves left ventricular diastolic relaxation in type 2 diabetes by inhibiting oxidative/nitrative stress: in vivo demonstration with magnetic resonance imaging.

Authors:  Hanrui Zhang; Brandon Morgan; Barry J Potter; Lixin Ma; Kevin C Dellsperger; Zoltan Ungvari; Cuihua Zhang
Journal:  Am J Physiol Heart Circ Physiol       Date:  2010-07-30       Impact factor: 4.733

4.  Non-invasive in vivo measurement of cardiac output in C57BL/6 mice using high frequency transthoracic ultrasound: evaluation of gender and body weight effects.

Authors:  Elisabet Domínguez; Jesús Ruberte; José Ríos; Rosa Novellas; Maria Montserrat Rivera Del Alamo; Marc Navarro; Yvonne Espada
Journal:  Int J Cardiovasc Imaging       Date:  2014-05-23       Impact factor: 2.357

5.  Validation of noninvasive measurements of cardiac output in mice using echocardiography.

Authors:  François Tournoux; Bodil Petersen; Hélène Thibault; Lin Zou; Michael J Raher; Baptiste Kurtz; Elkan F Halpern; Miguel Chaput; Wei Chao; Michael H Picard; Marielle Scherrer-Crosbie
Journal:  J Am Soc Echocardiogr       Date:  2011-02-18       Impact factor: 5.251

6.  Variability of Mouse Left Ventricular Function Assessment by 11.7 Tesla MRI.

Authors:  Laetitia Vanhoutte; Bernard Gallez; Olivier Feron; Jean-Luc Balligand; Hrag Esfahani; William d'Hoore; Stéphane Moniotte
Journal:  J Cardiovasc Transl Res       Date:  2015-06-13       Impact factor: 4.132

7.  MRI-based prediction of adverse cardiac remodeling after murine myocardial infarction.

Authors:  Andrea Protti; Xuebin Dong; Alexander Sirker; Rene Botnar; Ajay M Shah
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-05-25       Impact factor: 4.733

8.  Cell autonomous role of iASPP deficiency in causing cardiocutaneous disorders.

Authors:  Zinaida Dedeić; Gopinath Sutendra; Ying Hu; Kathryn Chung; Elizabeth A Slee; Michael J White; Felix Y Zhou; Robert D Goldin; David J P Ferguson; Debra McAndrew; Jurgen E Schneider; Xin Lu
Journal:  Cell Death Differ       Date:  2018-01-19       Impact factor: 15.828

9.  Development and characterization of rodent cardiac phantoms: comparison with in vivo cardiac imaging.

Authors:  Steven Fortune; Maurits A Jansen; Tom Anderson; Gillian A Gray; Jürgen E Schneider; Peter R Hoskins; Ian Marshall
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

10.  MRI and PET in mouse models of myocardial infarction.

Authors:  Guido Buonincontri; Carmen Methner; T Adrian Carpenter; Robert C Hawkes; Stephen J Sawiak; Thomas Krieg
Journal:  J Vis Exp       Date:  2013-12-19       Impact factor: 1.355

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