AIMC Topic: Magnetic Resonance Imaging, Cine
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Precision measurement of cardiac structure and function in cardiovascular magnetic resonance using machine learning.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Mar 10, 2022
BACKGROUND: Measurement of cardiac structure and function from images (e.g. volumes, mass and derived parameters such as left ventricular (LV) ejection fraction [LVEF]) guides care for millions. This is best assessed using cardiovascular magnetic res...
Predicting adverse cardiac events in sarcoidosis: deep learning from automated characterization of regional myocardial remodeling.
The international journal of cardiovascular imaging
Feb 22, 2022
Recognizing early cardiac sarcoidosis (CS) imaging phenotypes can help identify opportunities for effective treatment before irreversible myocardial pathology occurs. We aimed to characterize regional CS myocardial remodeling features correlating wit...
Fully automated intracardiac 4D flow MRI post-processing using deep learning for biventricular segmentation.
European radiology
Feb 17, 2022
OBJECTIVES: 4D flow MRI allows for a comprehensive assessment of intracardiac blood flow, useful for assessing cardiovascular diseases, but post-processing requires time-consuming ventricular segmentation throughout the cardiac cycle and is prone to ...
Improving robustness of automatic cardiac function quantification from cine magnetic resonance imaging using synthetic image data.
Scientific reports
Feb 14, 2022
Although having been the subject of intense research over the years, cardiac function quantification from MRI is still not a fully automatic process in the clinical practice. This is partly due to the shortage of training data covering all relevant c...
Untangling and segmenting the small intestine in 3D cine-MRI using deep learning.
Medical image analysis
Feb 7, 2022
Cine-MRI of the abdomen is a non-invasive imaging technique allowing assessment of small intestinal motility. This is valuable for the evaluation of gastrointestinal disorders. While 2D cine-MRI is increasingly used for this purpose in both clinical ...
Stable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia.
BMC cardiovascular disorders
Feb 5, 2022
BACKGROUND: Machine-Learning Computed Tomography-Based Fractional Flow Reserve (CT-FFR) is a novel tool for the assessment of hemodynamic relevance of coronary artery stenoses. We examined the diagnostic performance of CT-FFR compared to stress perfu...
Implementation and prospective clinical validation of AI-based planning and shimming techniques in cardiac MRI.
Medical physics
Nov 23, 2021
PURPOSE: Cardiovascular magnetic resonance (CMR) is a vital diagnostic tool in the management of cardiovascular diseases. The advent of advanced CMR technologies combined with artificial intelligence (AI) has the potential to simplify imaging, reduce...
Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Nov 11, 2021
BACKGROUND: Artificial intelligence can assist in cardiac image interpretation. Here, we achieved a substantial reduction in time required to read a cardiovascular magnetic resonance (CMR) study to estimate left atrial volume without compromising acc...
Automated segmentation of biventricular contours in tissue phase mapping using deep learning.
NMR in biomedicine
Sep 2, 2021
Tissue phase mapping (TPM) is an MRI technique for quantification of regional biventricular myocardial velocities. Despite its potential, clinical use is limited due to the requisite labor-intensive manual segmentation of cardiac contours for all tim...
Automatic left ventricle volume calculation with explainability through a deep learning weak-supervision methodology.
Computer methods and programs in biomedicine
Jul 9, 2021
BACKGROUND AND OBJECTIVE: Magnetic resonance imaging is the most reliable imaging technique to assess the heart. More specifically there is great importance in the analysis of the left ventricle, as the main pathologies directly affect this region. I...
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