Literature DB >> 24922458

Left ventricular strain and its pattern estimated from cine CMR and validation with DENSE.

Hao Gao1, Andrew Allan, Christie McComb, Xiaoyu Luo, Colin Berry.   

Abstract

Measurement of local strain provides insight into the biomechanical significance of viable myocardium. We attempted to estimate myocardial strain from cine cardiovascular magnetic resonance (CMR) images by using a b-spline deformable image registration method. Three healthy volunteers and 41 patients with either recent or chronic myocardial infarction (MI) were studied at 1.5 Tesla with both cine and DENSE CMR. Regional circumferential and radial left ventricular strains were estimated from cine and DENSE acquisitions. In all healthy volunteers, there was no difference for peak circumferential strain (- 0.18 ± 0.04 versus - 0.18 ± 0.03, p = 0.76) between cine and DENSE CMR, however peak radial strain was overestimated from cine (0.84 ± 0.37 versus 0.49 ± 0.2, p < 0.01). In the patient study, the peak strain patterns predicted by cine were similar to the patterns from DENSE, including the strain evolution related to recovery time and strain patterns related to MI scar extent. Furthermore, cine-derived strain disclosed different strain patterns in MI and non-MI regions, and regions with transmural and non-transmural MI as DENSE. Although there were large variations with radial strain measurements from cine CMR images, useful circumferential strain information can be obtained from routine clinical CMR imaging. Cine strain analysis has potential to improve the diagnostic yield from routine CMR imaging in clinical practice.

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Year:  2014        PMID: 24922458     DOI: 10.1088/0031-9155/59/13/3637

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  11 in total

1.  Gaussian process emulation to accelerate parameter estimation in a mechanical model of the left ventricle: a critical step towards clinical end-user relevance.

Authors:  Umberto Noè; Alan Lazarus; Hao Gao; Vinny Davies; Benn Macdonald; Kenneth Mangion; Colin Berry; Xiaoyu Luo; Dirk Husmeier
Journal:  J R Soc Interface       Date:  2019-07-03       Impact factor: 4.118

2.  Dynamic finite-strain modelling of the human left ventricle in health and disease using an immersed boundary-finite element method.

Authors:  Hao Gao; David Carrick; Colin Berry; Boyce E Griffith; Xiaoyu Luo
Journal:  IMA J Appl Math       Date:  2014-07-01       Impact factor: 0.845

3.  Changes and classification in myocardial contractile function in the left ventricle following acute myocardial infarction.

Authors:  Hao Gao; Andrej Aderhold; Kenneth Mangion; Xiaoyu Luo; Dirk Husmeier; Colin Berry
Journal:  J R Soc Interface       Date:  2017-07       Impact factor: 4.118

Review 4.  Strain imaging using cardiac magnetic resonance.

Authors:  A Scatteia; A Baritussio; C Bucciarelli-Ducci
Journal:  Heart Fail Rev       Date:  2017-07       Impact factor: 4.214

5.  Mitigation of Variability among 3D Echocardiography-Derived Regional Strain Values Acquired by Multiple Ultrasound Systems by Vendor Independent Analysis.

Authors:  Cole Streiff; Meihua Zhu; Eriko Shimada; David J Sahn; Muhammad Ashraf
Journal:  PLoS One       Date:  2016-05-05       Impact factor: 3.240

6.  Parameter estimation in a Holzapfel-Ogden law for healthy myocardium.

Authors:  H Gao; W G Li; L Cai; C Berry; X Y Luo
Journal:  J Eng Math       Date:  2015-01-30       Impact factor: 1.509

7.  A Novel Method for Estimating Myocardial Strain: Assessment of Deformation Tracking Against Reference Magnetic Resonance Methods in Healthy Volunteers.

Authors:  Kenneth Mangion; Hao Gao; Christie McComb; David Carrick; Guillaume Clerfond; Xiaodong Zhong; Xiaoyu Luo; Caroline E Haig; Colin Berry
Journal:  Sci Rep       Date:  2016-12-12       Impact factor: 4.379

8.  Estimating prognosis in patients with acute myocardial infarction using personalized computational heart models.

Authors:  Hao Gao; Kenneth Mangion; David Carrick; Dirk Husmeier; Xiaoyu Luo; Colin Berry
Journal:  Sci Rep       Date:  2017-10-19       Impact factor: 4.379

Review 9.  Feature tracking cardiac magnetic resonance imaging: A review of a novel non-invasive cardiac imaging technique.

Authors:  Zia Ur Rahman; Pooja Sethi; Ghulam Murtaza; Hafeez Ul Hassan Virk; Aitzaz Rai; Masliza Mahmod; Jeffrey Schoondyke; Kais Albalbissi
Journal:  World J Cardiol       Date:  2017-04-26

10.  A Novel Hierarchical Template Matching Model for Cardiac Motion Estimation.

Authors:  Jayendra M Bhalodiya; Arnab Palit; Manoj K Tiwari; Sanjay K Prasad; Sunil K Bhudia; Theodoros N Arvanitis; Mark A Williams
Journal:  Sci Rep       Date:  2018-03-14       Impact factor: 4.379

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