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VITOUŠ, J.; MACÍČEK, O.; JIŘÍK, R.
Originální název
Self-gated Arterial Spin Labeling Perfusion Mapping of Myocardium Using Magnetic Resonance Imaging
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
Myocardial perfusion MR provides useful information for diagnosis of several cardiac diseases and allows for treatment monitoring. Many methods have been proposed based on DCE-MRI or ASL. With the current slow drift from contrast agent administration in clinical setup, it is necessary to develop reliable methods that would replace DCE-MRI. ASL has always been a hope for a clean noninvasive method of perfusion measurement, but due to its issues it is still not widely accepted as a reliable method especially outside of the brain. We propose a method for perfusion measurement based on FAIR-ASL which internally does not require ECG measurement, uses advanced acquisition tweaks and compressed sensing subspace image reconstruction. We test the method in a preclinical setup, where high B0 fields and higher heart rates are the main issues. The acquired flow maps were comparable with state of the art methods, while giving a possibility of acquisition shortening or increased spatial resolution. We were able to obtain perfusion maps of the whole cardiac cycle with 315 um spatial resolution and 1 mm slice thickness from a 15- minutes acquisition. The acquisition time could possibly be reduced further, by additional optimization of the pulse sequence.
Anglický abstrakt
Klíčová slova
ASL, MRI
Klíčová slova v angličtině
Autoři
Vydáno
13.09.2024
Nakladatel
Computing in Cardiology
Kniha
CINC 2024
Periodikum
Svazek
51
Stát
Spojené státy americké
Strany počet
4
URL
https://cinc.org/archives/2024/pdf/CinC2024-345.pdf
BibTex
@inproceedings{BUT197878, author="Jiří {Vitouš} and Ondřej {Macíček} and Radovan {Jiřík}", title="Self-gated Arterial Spin Labeling Perfusion Mapping of Myocardium Using Magnetic Resonance Imaging", booktitle="CINC 2024", year="2024", journal="Computing in Cardiology", volume="51", pages="4", publisher="Computing in Cardiology", doi="10.22489/CinC.2024.345", url="https://cinc.org/archives/2024/pdf/CinC2024-345.pdf" }