Frontiers in Cardiovascular Medicine | Cardiovascular Imaging

Original Research

Published on 19 Oct 2023

Serial RV wall stress measurements: association with right ventricular function in repaired Tetralogy of Fallot patients

in Cardiovascular Imaging

Savine C. S. Minderhoud
Alexander Hirsch
Francesca Marin
Isabella Kardys
José F. Rodríguez-Matas
Claudio Chiastra
Jolien W. Roos-Hesselink
Jolanda J. Wentzel
Willem A. Helbing
Ali C. Akyildiz

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1256792

2,575 views

Original Research

Published on 18 Oct 2023

Electrocardiographic characteristics associated with late gadolinium enhancement and prognostic value in patients with dilated cardiomyopathy

in Cardiovascular Imaging

Punyanuch Chayanopparat
Thananya Boonyasirinant
Natthaporn Prapan
Supamongkol Phoopattana
Yodying Kaolawanich

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1281563

1,352 views
2 citations

Original Research

Published on 17 Oct 2023

Feasibility of gray-blood late gadolinium enhancement evaluation in young patients with congenital and acquired heart disease

in Cardiovascular Imaging

Cesar Gonzalez de Alba
Mehdi H. Moghari
Lorna P. Browne
Richard M. Friesen
Brian Fonseca
LaDonna J. Malone

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1269412

1,499 views

Original Research

Published on 16 Oct 2023

The value of cardiac magnetic resonance post-contrast T1 mapping in improving the evaluation of myocardial infarction

in Cardiovascular Imaging

Chunlin Xiang
Hongyan Zhang
Haojie Li
Xiaoyue Zhou
Lu Huang
Liming Xia

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1238451

1,633 views

Original Research

Published on 16 Oct 2023

A nomogram for predicting echocardiogram prescription in outpatients: an analysis of the NAMCS database

in Cardiovascular Imaging

Yujian Liu
Yanhan Deng
Hongjie Wang
Wanjun Liu
Xingwei He
Hesong Zeng

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1183504

1,305 views

Methods

Published on 13 Oct 2023

Ensemble learning of myocardial displacements for myocardial infarction detection in echocardiography

in Cardiovascular Imaging

Tuan Nguyen
Phi Nguyen
Dai Tran
Hung Pham
Quang Nguyen
Thanh Le
Hanh Van
Bach Do
Phuong Tran
Vinh Le

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1185172

2,927 views
5 citations

Original Research

Published on 13 Oct 2023

Automated segmentation of 3D cine cardiovascular magnetic resonance imaging

in Cardiovascular Imaging

Soroosh Tayebi Arasteh
Jennifer Romanowicz
Danielle F. Pace
Polina Golland
Andrew J. Powell
Andreas K. Maier
Daniel Truhn
Tom Brosch
Juergen Weese
Mahshad Lotfinia

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1167500

3,779 views
4 citations

Original Research

Published on 10 Oct 2023

Left ventricular dyssynchrony measured by cardiovascular magnetic resonance-feature tracking in anterior ST-elevation myocardial infarction: relationship with microvascular occlusion myocardial damage

in Cardiovascular Imaging

Zheng Sun
Yu Wang
Yingying Hu
Fang Wu
Nan Zhang
Zhi Liu
Jie Lu
Kuncheng Li

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1255063

1,748 views

Original Research

Published on 09 Oct 2023

Assessment of myocardial function and cardiac performance using left ventricular global longitudinal strain in athletes after COVID-19: a follow-up study

in Cardiovascular Imaging

J. Schellenberg
L. Matits
D. A. Bizjak
J. Kersten
J. Kirsten
S. Vollrath
J. M. Steinacker

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1240278

1,888 views
4 citations

Original Research

Published on 09 Oct 2023

Left atrium 4D-flow segmentation with high-resolution contrast-enhanced magnetic resonance angiography

in Cardiovascular Imaging

Hansuk Kim
Stephen B. Wilton
Julio Garcia

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1225922

1,922 views

Original Research

Published on 06 Oct 2023

CARDIAN: a novel computational approach for real-time end-diastolic frame detection in intravascular ultrasound using bidirectional attention networks

in Cardiovascular Imaging

Xingru Huang
Retesh Bajaj
Weiwei Cui
Michael J. Hendricks
Yaqi Wang
Nathan A. L. Yap
Anantharaman Ramasamy
Soe Maung
Murat Cap
Huiyu Zhou

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1250800

3,077 views
3 citations

Original Research

Published on 06 Oct 2023

Prognostic value of negative stress cardiac magnetic resonance imaging in patients with moderate-severe coronary artery stenosis

in Cardiovascular Imaging

Ailís Ceara Haney
Janek Salatzki
Hauke Hund
Matthias G. Friedrich
Evangelos Giannitsis
Norbert Frey
Henning Steen
Dirk Loßnitzer
Johannes Riffel
Florian André

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1264374

2,249 views

Brief Research Report

Published on 03 Oct 2023

Feasibility of cardiac MR thermometry at 0.55 T

in Cardiovascular Imaging

Ronald Mooiweer
Charlotte Rogers
Rohini Vidya Shankar
Reza Razavi
Radhouene Neji
Sébastien Roujol

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1233065

1,870 views

Original Research

Published on 02 Oct 2023

Diagnostic accuracy of noninvasive fractional flow reserve derived from computed tomography angiography in ischemia-specific coronary artery stenosis and indeterminate lesions: results from a multicenter study in China

in Cardiovascular Imaging

Yaodong Ding
Quan Li
Yang Zhang
Yida Tang
Haitao Zhang
Qing Yang
Xiling Shou
Yicong Ye
Xiliang Zhao
Yi Ye

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1236405

2,685 views
4 citations

Original Research

Published on 02 Oct 2023

Epicardial fat volume, an independent risk factor for major adverse cardiovascular events, had an incremental prognostic value to myocardial perfusion imaging in Chinese populations with suspected or known coronary artery disease with a normal left ventricular ejection fraction

in Cardiovascular Imaging

Le Yang
Wenji Yu
Peng Wan
JingWen Wang
Xiaoliang Shao
Feifei Zhang
Xiaoyu Yang
Yongjun Chen
Qi Li
Dan Jiang

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1261215

2,520 views
3 citations

Original Research

Published on 29 Sep 2023

A physics-based machine learning technique rapidly reconstructs the wall-shear stress and pressure fields in coronary arteries

in Cardiovascular Imaging

Benjamin Morgan
Amal Roy Murali
George Preston
Yidnekachew Ayele Sima
Luis Alberto Marcelo Chamorro
Christos Bourantas
Ryo Torii
Anthony Mathur
Andreas Baumbach
Marc C. Jacob

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1221541

3,560 views
7 citations