A5088131678- Cardiac Imaging and Diagnostics
- Aortic aneurysm repair treatments
- Advanced X-ray and CT Imaging
- Aortic Thrombus and Embolism
- Cardiovascular Health and Disease Prevention
- MRI in cancer diagnosis
- Cardiovascular Effects of Exercise
- Radiation Dose and Imaging
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Cardiovascular Function and Risk Factors
- Blood Pressure and Hypertension Studies
Consejo Nacional de Investigaciones Científicas y Técnicas
2020-2024
Favaloro University
2019-2024
Medical Technologies (Czechia)
2019
Abstract Objectives. In cardiovascular magnetic resonance, the 3D time-resolved phase-contrast technique, also known as 4D flow, is gaining increasing attention due to applications that exploit three-directional velocity encoding throughout cardiac cycle. Blood flow volume assessment usually requires an expert draw regions of interest (ROI) around vessel cross section, whereas errors involved in this estimation have not been thoroughly investigated. Our objective quantify influence ROI...
Arterial calcification is an independent predictor of cardiovascular disease (CVD) events whereas thoracic aorta calcium (TAC) detection might anticipate extracoronary outcomes. In this work, we trained six convolutional neural networks (CNNs) to detect aortic calcifications and automate the TAC score assessment in intermediate CVD risk patients. Cardiac computed tomography images from 1415 patients were analyzed together with their geometry previously assessed. Orthogonal patches centered...
Thoracic aorta calcium (TAC) can be assessed from cardiac computed tomography (CT) studies to improve cardiovascular risk prediction. The aim of this study was develop a fully automatic system detect TAC and evaluate its performance for classifying the patients into four categories. method started by segmenting thoracic aorta, combining three UNets trained with axial, sagittal coronal CT images. Afterwards, surrounding lesion candidates were classified using combined convolutional neural...