Similarity-driven motion-resolved reconstruction for ferumoxytol-enhanced whole-heart MRI in congenital heart disease
Ludovica Romanin, Bastien Milani, Christopher W. Roy, Jérôme Yerly, Aurélien Bustin, Salim Si-mohamed, Milan Prsa, Tobias Rutz, Estelle Tenisch, Juerg Schwitter, Matthias Stuber, Davide Piccini
Abstract
A similarity-driven multi-dimensional binning algorithm (SIMBA) reconstruction of free-running cardiac magnetic resonance imaging data was previously proposed. While very efficient and fast, the original SIMBA focused only on the reconstruction of a single motion-consistent cluster, discarding the remaining data acquired.
Introduction
The use of whole-heart coronary magnetic resonance angiography (CMRA) has been investigated during the past decades as a non-invasive and radiation-free approach to the diagnosis of coronary artery disease [1] and to the assessment of anomalous coronary arteries [2–4].
Materials and Methods
Twenty-four patients with CHD (age 25±15 years, range 2–60 years; 18 male; weight 64±24 kg, range 12.6–104 kg) with a clinical indication for ferumoxytol-enhanced cardiac MRI were included in this IRB-approved retrospective study.
Result
The SIMBA clustering resulted in 13 clusters on average per patient. Among the four most populated clusters selected for the reconstruction, the first contained 12.2±1.9% of the acquired data, the second 10.5±1.4%, the third 9.6±1.2%, and the fourth 8.9±1.0%.
Discussion
The SIMBA reconstruction was proposed as an effective method to suppress adverse effects of respiratory and cardiac motion in 3D free-running MRI, without an explicit extraction of physiological signals. In this work, we developed a new reconstruction (XD-MC-SIMBA) that further exploits the inherent abundance of information from a free-running acquisition by using the SIMBA clustering as a new dimension of sparsity for CS reconstruction.
Conclusion
We successfully implemented a new reconstruction framework (XD-MC-SIMBA) for the effective suppression of respiratory and cardiac motion artifacts in free-running acquisitions.
Citation: Romanin L, Milani B, Roy CW, Yerly J, Bustin A, Si-mohamed S, et al. (2024) Similarity-driven motion-resolved reconstruction for ferumoxytol-enhanced whole-heart MRI in congenital heart disease. PLoS ONE 19(6): e0304612. https://doi.org/10.1371/journal.pone.0304612
Editor: Aamna AlShehhi, Khalifa University, UNITED ARAB EMIRATES
Received: September 12, 2023; Accepted: May 15, 2024; Published: June 13, 2024
Copyright: © 2024 Romanin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Data cannot be shared publicly because of institutional regulation CER-VD 2022-01521. Data are available from the Institutional Data Access / Ethics Committee for researchers who meet the criteria for access to confidential data. Commission cantonale d’éthique de la recherche sur l’être humain, Avenue de Chailly 23, 1012 Lausanne (CH), + 41 21 316 18 36, scientifique.cer@vd.ch).
Funding: This work is supported by SNSF Grant 320030B_201292. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: LR’s PhD studies are financially supported by Siemens Healthcare (Erlangen, Germany). DP is an employee of Siemens Healthcare Srl (Italy). MS receives non-monetary research support from Siemens Healthcare (Erlangen, Germany). JS receives research support by Bayer Healthcare Schweiz AG. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
Source: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0304612#abstract0
