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High concordance of PET-CT treatment response evaluation according to PERCIST 1.0 when comparing images reconstructed with OSEM vs. BSREM.
Clin Physiol Funct Imaging
January 2025
Department of Translational Medicine, Wallenberg Center for Molecular Medicine, Lund University, Malmö, Sweden.
Background: Positron emission tomography (PET) response criteria in solid tumours (PERCIST 1.0) is a systematic assessment of therapy response with fluorine 18 fluorodeoxyglucose ([F]FDG) PET. The ordered subset expectation maximization (OSEM) and block sequential regularized expectation maximization (BSREM) reconstruction algorithms are both commonly used.
View Article and Find Full Text PDFImprove myocardial strain estimation based on deformable groupwise registration with a locally low-rank dissimilarity metric.
BMC Med Imaging
December 2024
National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Background: Current mainstream cardiovascular magnetic resonance-feature tracking (CMR-FT) methods, including optical flow and pairwise registration, often suffer from the drift effect caused by accumulative tracking errors. Here, we developed a CMR-FT method based on deformable groupwise registration with a locally low-rank (LLR) dissimilarity metric to improve myocardial tracking and strain estimation accuracy.
Methods: The proposed method, Groupwise-LLR, performs feature tracking by iteratively updating the entire displacement field across all cardiac phases to minimize the sum of the patchwise signal ranks of the deformed movie.
Inter-site comparability of 4D flow cardiovascular magnetic resonance measurements in healthy traveling volunteers-a multi-site and multi-magnetic field strength study.
Front Cardiovasc Med
November 2024
Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Article Synopsis
- Time-resolved 3D cine phase-contrast cardiovascular magnetic resonance (4D flow CMR) is a method used to analyze blood flow, but it can be affected by various confounders like field strength and scanner configurations.
- This study involved 19 healthy volunteers who underwent 4D flow CMR at four different sites, with measurements taken from the thoracic aorta and the entire heart to assess the impact of these confounding factors.
- Results indicated that while some parameters showed good inter-site reproducibility (e.g., in the ascending aorta), others had significant discrepancies, particularly at Site IV, highlighting the need for standardization in 4D flow CMR measurements.
Assessing coronary artery stenosis exacerbated impact on left ventricular function and deformation in metabolic syndrome patients by 3.0 T cardiac magnetic resonance imaging.
Cardiovasc Diabetol
November 2024
Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
Background: Metabolic syndrome (MetS) and coronary artery stenosis (CAS) independently increase the risk of cardiovascular events, while the impact of CAS on left ventricular (LV) function and deformation in MetS patients remains unclear. This study investigates how varying degrees of CAS exacerbate LV function and myocardial deformation in MetS patients.
Methods: One hundred thirty-one MetS patients who underwent CMR examinations were divided into two groups: the MetS(CAS-) group (n = 47) and the MetS(CAS+) group (n = 84).
Quantification of Replacement Fibrosis in Aortic Stenosis: A Narrative Review on the Utility of Cardiovascular Magnetic Resonance Imaging.
Diagnostics (Basel)
October 2024
Division of Cardiology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University and Tygerberg Hospital, Cape Town 7505, South Africa.
Aortic stenosis (AS) is associated with the development of replacement myocardial fibrosis/scar. Given the dose-dependent relationship between scar and clinical outcomes after aortic valve replacement (AVR) surgery, scar quantity may serve as an important risk-stratification tool to aid decision-making on the optimal timing of AVR. Scar is non-invasively assessed and quantified by cardiovascular magnetic resonance (CMR) imaging.
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