A5060566170- Coronary Interventions and Diagnostics
- Cardiac Imaging and Diagnostics
- Cerebrovascular and Carotid Artery Diseases
- Cardiovascular Health and Disease Prevention
- Advanced MRI Techniques and Applications
- Cardiovascular Function and Risk Factors
- Cardiovascular Disease and Adiposity
- Advanced X-ray and CT Imaging
- Medical Image Segmentation Techniques
- Acute Ischemic Stroke Management
- Optical Coherence Tomography Applications
- Atherosclerosis and Cardiovascular Diseases
- Elasticity and Material Modeling
- Cardiac Valve Diseases and Treatments
- Radiomics and Machine Learning in Medical Imaging
- Acute Myocardial Infarction Research
- Photoacoustic and Ultrasonic Imaging
- Bone Tissue Engineering Materials
- Machine Learning in Healthcare
- Electrospun Nanofibers in Biomedical Applications
- Intracranial Aneurysms: Treatment and Complications
- Orthopaedic implants and arthroplasty
- Mathematical Biology Tumor Growth
- Angiogenesis and VEGF in Cancer
- Advanced Fluorescence Microscopy Techniques
University of Ioannina
2015-2024
FORTH Institute of Molecular Biology and Biotechnology
2017-2024
Montanuniversität Leoben
2023
Newcastle University
2023
Ionian University
2021
Foundation for Research and Technology Hellas
2012-2021
Azienda Ospedaliera Universitaria Pisana
2021
Hippocration General Hospital
2018
National and Kapodistrian University of Athens
2018
University of Cyprus
2013
Optical coherence tomography (OCT) is a light-based intracoronary imaging modality that provides high-resolution cross-sectional images of the luminal and plaque morphology. Currently, segmentation OCT identification composition are mainly performed manually by expert observers. However, this process laborious time consuming its accuracy relies on expertise observer. To address these limitations, we present methodology able to data in fully automated fashion. The proposed detect lumen...
To develop and validate a new methodology that allows accurate 3-dimensional (3-D) coronary artery reconstruction using standard, simple angiographic intravascular ultrasound (IVUS) data acquired during routine catheterisation enabling reliable assessment of the endothelial shear stress (ESS) distribution.Twenty-two patients (22 arteries: 7 LAD; LCx; 8 RCA) who underwent angiography IVUS examination were included. The used for 3-D conventional method utilised luminal centreline to place...
Atherosclerosis is a systemic disease with local manifestations. Low-density lipoprotein (LDL) accumulation in the subendothelial layer one of hallmarks atherosclerosis onset and ignites plaque development progression. Blood flow-induced endothelial shear stress (ESS) causally related to heterogenic distribution atherosclerotic lesions critically affects LDL deposition vessel wall. In this work we modeled blood flow transport coronary arterial wall investigated influence several hemodynamic...
The aim of this study is to present a new methodology for three-dimensional (3D) reconstruction coronary arteries and plaque morphology using Computed Tomography Angiography (CTA). summarized in six stages: 1) pre-processing the initial raw images, 2) rough estimation lumen outer vessel wall borders approximation vessel's centerline, 3) manual adaptation parameters, 4) accurate extraction luminal 5) detection - calcium region, 6) finally 3D surface construction. was compared estimations...
The aim of this study is to describe a new method for three-dimensional (3D) reconstruction coronary arteries using Frequency Domain Optical Coherence Tomography (FD-OCT) images. rationale fuse the information about curvature artery, derived from biplane angiographies, with regarding lumen wall, which produced FD-OCT examination. based on three step approach. In first borders in images are detected. second 3D curve center line vessel two projections. Finally third detected placed...
Computational fluid dynamics methods based on in vivo 3-D vessel reconstructions have recently been identified the influence of wall shear stress endothelial cells as well vascular smooth muscle cells, resulting different events such flow mediated vasodilatation, atherosclerosis, and remodeling. Development image-based modeling technologies for simulating patient-specific local blood flows is introducing a novel approach to risk prediction coronary plaque growth progression. In this study,...
Pressure measurements using finite element computations without the need of a wire could be valuable in clinical practice. Our aim was to compare computed distal coronary pressure values with measured wire, while testing effect different boundary conditions for simulation. Eight arteries (lumen and outer vessel wall) from six patients were reconstructed three-dimensional (3D) space intravascular ultrasound biplane angiographic images. at proximal end flow velocity acquired use combo...
In this work, we present a platform for the development of multiscale patient-specific artery and atherogenesis models. The platform, called ARTool, integrates technologies 3-D image reconstruction from various modalities, blood flow biological models mass transfer, plaque characterization, growth. Patient images are acquired model patient specific arteries. Then, is modeled within arterial calculation wall shear stress distribution (WSS). WSS combined with other parameters progression...
SMARTool aims to the development of a clinical decision support system (CDSS) for management and stratification patients with coronary artery disease (CAD). This will be achieved by performing computational modeling main processes atherosclerotic plaque growth. More specifically, computed tomography angiography (CTCA) is acquired 3-dimensional (3D) reconstruction performed arterial trees. Then, blood flow growth employed simulating major atherosclerosis, such as estimation endothelial shear...
Background: coronary computed tomography angiography (CCTA) is a first line non-invasive imaging modality for detection of atherosclerosis. Computational modeling with lipidomics analysis can be used prediction atherosclerotic plaque progression. Methods: 187 patients (480 vessels) stable artery disease (CAD) undergoing CCTA scan at baseline and after 6.2 ± 1.4 years were selected from the SMARTool clinical study cohort (Clinicaltrial.gov Identifiers NCT04448691) according to (CT) image...
Abstract Aims To test the hypothesis that virtual functional assessment index (vFAI) is related with regional flow parameters derived by quantitative positron emission tomography (PET) and can be used to assess abnormal vasodilating capability in coronary vessels stenotic lesions at computed angiography (CCTA). Methods results vFAI, stress myocardial blood (MBF), reserve (MFR) were assessed 78 patients (mean age 62.2 ± 7.7 years) intermediate pre-test likelihood of artery disease (CAD)....
Background Advances in three-dimensional reconstruction techniques and computational fluid dynamics of coronary CT angiography (CCTA) data sets make feasible evaluation endothelial shear stress (ESS) the vessel wall. Purpose To investigate relationship between CCTA-derived metrics, anatomic morphologic characteristics lesions, their comparative performance predicting impaired vasodilating capability assessed by using PET myocardial perfusion imaging (MPI). Materials Methods In this...
Optical Coherence Tomography (OCT) is a new invasive technology for performing high-resolution cross-sectional imaging of the coronary arteries. In OCT images only Calcified plaque (CA) components can be accurately depicted as light penetrates hard tissue. this work we present an automated method detecting CA in images. The fully no user intervention needed and includes three steps. first step region between lumen maximum penetration depth from border determined. second classified into 3...
We present the architecture and usability testing of a novel cloud-based platform, which integrates cyber-physical systems interoperability standards enabling clinical decision support system for risk stratification, diagnosis, prognosis treatment CAD. In this work multi-disciplinary human data were used development machine learning computational biomechanics based predictive models. Two Lab-on-Chip devices have been integrated into cloud platform. A targeted RNA-panel provides mRNA gene...
The scope of this paper is to present a new carotid vessel segmentation algorithm implementing the U-net based convolutional neural network architecture. With atherosclerosis being major cause stroke in Europe, methods that can provide more accurate image arterial tree and plaque tissue help improve early diagnosis, prevention treatment disease. Herein, we novel methodology combining model morphological active contours an iterative framework accurately segments lumen outer wall. method...
The prediction of obstructive atherosclerotic disease has significant clinical meaning for the decision making. In this study, a machine learning predictive model based on gradient boosting classifier is presented, aiming to identify patients high CAD risk and those low risk. methodology includes five steps: preprocessing input data, class imbalance handling applying Easy Ensemble algorithm, recursive feature elimination technique implementation, implementation classifier, finally...
The estimation of the severity coronary lesions is utmost importance in today's clinical practice, since Cardiovascular diseases often have fatal consequences. most efficient method to estimate a lesion calculation Fractional Flow Reserve. necessary use pressure wire, however, makes this invasive and strenuous for patient. In work, we present novel 3-Dimensional Quantitative Coronary Analysis reconstruction framework computation virtual Functional Assessment Index (vFAI). dataset 5 arterial...
In this work, we present a novel computational approach for the prediction of atherosclerotic plaque growth. particular, patient-specific coronary computed tomography angiography (CCTA) data were collected from 60 patients at two time points. Additionally, blood samples biochemical analysis. The CCTA used 3D reconstruction arteries, which then modeling model growth is based on multi-level approach: i) flow modeled in lumen and arterial wall, ii) low high density lipoprotein monocytes...
Aims: In this study, we evaluate the efficacy of SmartFFR, a new functional index coronary stenosis severity compared with gold standard invasive measurement fractional flow reserve (FFR). We also assess influence type simulation employed on smartFFR (i.e. Fluid Structure Interaction vs. rigid wall assumption). Methods and Results: dataset 167 patients undergoing either computed tomography angiography (CTCA) or only (ICA), as well FFR measurement, SmartFFR was after 3D reconstruction vessels...