J 2024

T1 mapping of myocardium in rats using self-gated golden-angle acquisition

VITOUŠ, Jiří, Radovan JIŘÍK, Tibor STRAČINA, Michal HENDRYCH, Jaroslav NÁDENÍČEK et. al.

Basic information

Original name

T1 mapping of myocardium in rats using self-gated golden-angle acquisition

Authors

VITOUŠ, Jiří (203 Czech Republic, guarantor), Radovan JIŘÍK (203 Czech Republic), Tibor STRAČINA (703 Slovakia, belonging to the institution), Michal HENDRYCH (203 Czech Republic, belonging to the institution), Jaroslav NÁDENÍČEK (203 Czech Republic, belonging to the institution), Ondřej MACÍČEK (203 Czech Republic), Tian YE, Lucie KRÁTKÁ (203 Czech Republic), Eva DRAŽANOVÁ (203 Czech Republic, belonging to the institution), Marie NOVÁKOVÁ (203 Czech Republic, belonging to the institution), Petr BABULA (203 Czech Republic, belonging to the institution), Roman PANOVSKÝ (203 Czech Republic, belonging to the institution), Edward DIBELLA and Zenon STARČUK (203 Czech Republic)

Edition

Magnetic Resonance in Medicine, HOBOKEN, WILEY, 2024, 0740-3194

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30201 Cardiac and Cardiovascular systems

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 3.300 in 2022

Organization unit

Faculty of Medicine

UT WoS

001077604100001

Keywords in English

myocardium; T1 mapping

Tags

International impact, Reviewed
Změněno: 2/2/2024 12:50, Mgr. Tereza Miškechová

Abstract

V originále

Purpose The aim of this study is to design a method of myocardial T1 quantification in small laboratory animals and to investigate the effects of spatiotemporal regularization and the needed acquisition duration. Methods We propose a compressed-sensing approach to T1 quantification based on self-gated inversion-recovery radial two/three-dimensional (2D/3D) golden-angle stack-of-stars acquisition with image reconstruction performed using total-variation spatiotemporal regularization. The method was tested on a phantom and on a healthy rat, as well as on rats in a small myocardium-remodeling study. Results The results showed a good match of the T1 estimates with the results obtained using the ground-truth method on a phantom and with the literature values for rats myocardium. The proposed 2D and 3D methods showed significant differences between normal and remodeling myocardium groups for acquisition lengths down to approximately 5 and 15 min, respectively. Conclusions A new 2D and 3D method for quantification of myocardial T1 in rats was proposed. We have shown the capability of both techniques to distinguish between normal and remodeling myocardial tissue. We have shown the effects of image-reconstruction regularization weights and acquisition length on the T1 estimates.

Links

EF18_046/0016045, research and development project
Name: Modernizace národní infrastruktury pro biologické a medicínské zobrazování Czech-BioImaging
GA22-10953S, research and development project
Name: Multikontrastová kvantifikace perfuze společně užívající magnetickorezonanční obrazy získané s kontrastními látkami i značením arteriálních spinů
Investor: Czech Science Foundation, Multi-Contrast Quantification of Perfusion Using Joint Magnetic Resonance Contrast-Enhanced and Arterial-Spin-Labeling Approaches
LM2018129, research and development project
Name: Národní infrastruktura pro biologické a medicínské zobrazování Czech-BioImaging
Investor: Ministry of Education, Youth and Sports of the CR
LM2023050, research and development project
Name: Národní infrastruktura pro biologické a medicínské zobrazování
Investor: Ministry of Education, Youth and Sports of the CR, Czech BioImaging: National research infrastructure for biological and medical imaging
MUNI/A/1379/2022, interní kód MU
Name: Organotypické kultury glioblastomu – personalizované testování protinádorové léčby II
Investor: Masaryk University
MUNI/11/SUP/09/2022, interní kód MU
Name: Vliv sociální izolace na remodelaci myokardu – úloha sigma 1 receptorů
Investor: Masaryk University, Start-up