About this Research Topic
The goal of this Research Topic is to present novel vascular imaging methods, single and multi-modality techniques, their relative strengths and weaknesses, and the advantages of combining information from different modalities (Ultrasound, CT, MRI, PET and SPECT). We aim to collect reviews, opinion and original research articles on the development and validation of image acquisition and analysis methods, as well as reports on pilot and proof of concept studies using vascular imaging as surrogate endpoints in clinical trials. Our intention is to discuss emerging methods, challenges and future opportunities for multi-modality vascular imaging approaches that provide insights into vascular blood flow, vessel wall morphology and function. We hope this Research Topic will highlight promising techniques that could potentially translate from bench to bedside and directly benefit patients, acknowledging current limitations to their clinical implementation and adoption.
We invite the submission of manuscripts that describe emerging methods for vascular imaging and highlight their potential clinical applications, with particular interest in multimodality and ‘full-stack’ approaches integrating image acquisition and AI-based analysis.
We welcome original research articles, methods, perspectives, opinions and reviews on the following themes:
1) Measuring the severity of vascular disease in the aorta, carotid, intracranial, peripheral arteries and veins;
2) Potential clinical applications, risk stratification, and support for therapeutic decisions;
3) Technical improvements in Ultrasound, CT, MRI, PET and SPECT for vascular imaging;
4) Characterization of atherosclerotic plaque morphology and composition, intra-plaque haemorrhage, angiogenesis and inflammation;
5) Quantification of vascular blood flow, arterial compliance, biomechanical wall shear stress, stenosis and aneurysm;
6) Deep Learning in vascular image acquisition, reconstruction and processing;
7) AI-based automated vessel wall, plaque tissue segmentation and classification algorithms;
8) Novel vascular imaging biomarkers and vascular imaging as surrogate endpoint in clinical trials.
Keywords: vascular disease, atherosclerosis, carotid arteries, aorta, Ultrasound, MRI, PET, CT, quantitative imaging, image analysis, artificial intelligence, machine learning, intracranial arteries, peripheral arteries, veins, aneurysm, blood flow, plaque characterization, Magnetic Resonance Imaging, Positron Emission Tomography, Computed Tomography, Single-photon emission computed tomography, SPECT, US, Doppler US, multiparametric mapping, deep learning, tissue segmentation and classification, quantitative imaging biomarkers
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.