Segmentation of Deep Inferior Epigastric Artery Perforators for Breast Reconstruction using Deep Learning in Computed Tomography Angiography: A Quantitative and Qualitative Evaluation

<b>Introduction: </b>Breast reconstruction after a mastectomy is crucial to improve a patient’s quality of life. The Deep Inferior Epigastric artery Perforator (DIEP) flap procedure is considered the golden standard for breast reconstruction. Three-dimensional (3D) visualization methods have shown promise in providing a better understanding of...

From CTA to 3D modelling: A computational framework for morphometrical assessment and biomechanical analysis of atherosclerotic carotid arteries

Background: Ischemic stroke is a major cause of death worldwide. Atherosclerosis in the carotid arteries is an established predictor of these events. Ideally, patient-specific prevention plans can be developed that target advanced plaque development prior to events. Morphometry of advanced calcified plaque phenotypes can be assessed through...

A patient-specific visualization tool for comprehensive analysis of coronary CTA and perfusion MRI data

Cardiac magnetic resonance perfusion imaging (CMR) and computed tomography angiography (CTA) are widely used to assess heart disease. CMR is used to measure the global and regional myocardial function and to evaluate the presence of ischemia; CTA is used for diagnosing coronary artery disease, such as coronary stenoses. Nowadays, the hemodynamic...

Fully automatic cardiac segmentation from 3D CTA data: A multi-atlas based approach