Eduardo Enrique Davila Serrano

Eduardo Enrique Davila Serrano
Creatis Medical Imaging Research Center · Electrical Engineering

About

27
Publications
4,207
Reads
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133
Citations
Citations since 2016
10 Research Items
78 Citations
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Introduction

Publications

Publications (27)
Article
Full-text available
Background PEEP selection in severe COVID-19 patients under extracorporeal membrane oxygenation (ECMO) is challenging as no study has assessed the alveolar recruitability in this setting. The aim of the study was to compare lung recruitability and the impact of PEEP on lung aeration in moderate and severe ARDS patients with or without ECMO, using c...
Article
Full-text available
Objective The standard treatment for complicated Stanford type B aortic dissection (TBAD) is thoracic endovascular aortic repair (TEVAR). Functional parameters, specifically blood flow, are not measured in the clinical assessment of TEVAR, yet they are of outmost importance in patient outcome. Consequently, we investigated the impact of TEVAR on th...
Article
Full-text available
Background Personalizing mechanical ventilation requires the development of reliable bedside monitoring techniques. The multiple-breaths nitrogen washin–washout (MBNW) technique is currently available to measure end-expiratory lung volume (EELV MBNW ), but the precision of the technique may be poor, with percentage errors ranging from 28 to 57%. Th...
Chapter
Acute respiratory distress syndrome (ARDS) is a critical impairment of the lung function, which occurs – among others – in severe cases of patients with Covid-19. Its therapeutic management is based on mechanical ventilation, but this may aggravate the patient’s condition if the settings are not adapted to the actual lung state. Computed tomography...
Article
Purpose The aim of this study was to assess whether the computed tomography (CT) features of COVID-19 (COVID+) ARDS differ from those of non-COVID-19 (COVID−) ARDS patients. Materials and methods The study is a single-center prospective observational study performed on adults with ARDS onset ≤72 h and a PaO2/FiO2 ≤ 200 mmHg. CT scans were acquired...
Conference Paper
The CAROLAB software platform is introduced to analyze B-mode ultrasound image sequences of the carotid artery. The main objective of CAROLAB is to enable automatic, accurate, and reproducible measurements of clinical data in the context of cardiovascular risk evaluation. In addition to the most common image-based vascular biomarkers such as intima...
Article
Purpose (1) To improve the accuracy of global and regional alveolar-recruitment quantification in CT scan pairs by accounting for lung-tissue displacements and deformation, (2) To propose a method for local-recruitment calculation. Methods Recruitment was calculated by subtracting the quantity of non-aerated lung tissues between expiration and ins...
Article
Full-text available
Objectives: The aim of this study was to develop a new scoring system based on thoracic aortic calcification (TAC) to predict 1-year cardiovascular and all-cause mortality. Background: A calcified aorta is often associated with poor prognosis after transcatheter aortic valve replacement (TAVR). A risk score encompassing aortic calcification may...
Conference Paper
Full-text available
A good knowledge of the cardiac microarchitecture is essential for better understanding the function of the human heart. This paper investigates the transmural 3D microstructure of the left ventricle of the human heart. An ex-vivo sample (7 × 7 × 15 mm 3 ) extracted from the anterior wall of the myocardium is imaged using X-rays phase contrast micr...
Conference Paper
In this work, we address the registration of pulmonary images, representing the same subject, with large opaque regions within the lungs, and with possibly large displacements. We propose a hybrid method combining alignment based on gray levels and landmarks within the same cost function. The landmarks are nodes of the airway tree obtained by speci...
Conference Paper
Full-text available
Efficient and reliable extraction of coronary artery center-line from computed tomography angiography data is a prerequisite for a variety of medical imaging applications. Many authors have combined minimum-cost path algorithms and vesselness measures to extract coro-nary centerlines. We propose a modular decomposition of this extrac-tion process,...
Conference Paper
Full-text available
CreaTools provides stand-alone applications for end users and a cross-platform framework that helps researchers in the validation of their medical image processing algorithms. As an open source platform initiated at CREATIS, it provides tools to quickly prototype an interface, choose a sophisticated visualization, add interactivity with the image a...
Article
Full-text available
An MR acquisition protocol and a processing method using distributed computing on the European Grid Infrastructure (EGI) to allow 3D liver perfusion parametric mapping after Magnetic Resonance Dynamic Contrast Enhanced (MR-DCE) imaging are presented. Seven patients (one healthy control and six with chronic liver diseases) were prospectively enrolle...
Conference Paper
Full-text available
We present a prototype software to virtually deploy pipeline flow diverting stents in intracranial vessels with aneurysms. The final objective is to understand the biological and biomechanical mechanisms underlying the stent-induced clot formation within the aneurysm. The weaving pattern of the selected pipeline stent is described w.r.t. cylindrica...
Conference Paper
Full-text available
The paper presents a collaborative project that offers stand-alone software applications for end-users and a complete open-source platform to rapidly develop/prototype medical image processing work-flows with sophisticated visualization and user interactions. It builds on top of a flexible cross-platform framework (Linux, Windows and MacOS) develop...
Article
Full-text available
Este artículo presenta un proyecto colaborativo que provee aplicaciones de software autónomas para usuarios finales, al igual que una plataforma de código abierto para generar prototipos/desarrollar rápidamente workflows para el procesamiento de imágenes médicas con sofisticados mecanismos de visualización e interacción con el usuario. Se construye...
Conference Paper
Full-text available
Initiated at CREATIS lab, CreaTools is a collaborative project with los Andes and Javeriana universities from Colombia. It offers stand-alone applications for end users and a complete open-source platform to rapidly develop/prototype medical image processing workflows with sophisticated visualization and user interactions. It builds on top of BBTK...
Conference Paper
Full-text available
In this paper we present two interactive methods for tubular structure fast extraction. The main application and motivation for this work is vessel tracking in 2D and 3D medical images. The basic tools are minimal paths solved using the fast marching algorithm. This allows interactive tools for the physician by clicking on a small number of points...
Article
A method is proposed for vessel segmentation in 3D CT images based in the extraction of the vessel centreline and of vessel contours locally perpendicular to the centerline. The method is divided into three stages: axis extraction, discontinuity detection and contour refinement. Vessel axis is extracted by an extensible skeleton. First, discontinui...
Article
Full-text available
Object This article describes a method for automated extraction of branching structures in three dimensional (3D) medical images. Materials and methods The algorithm recursively tracks branches and detects bifurcations by analyzing the binary connected components on the surface of a sphere that moves along the vessels. Local segmentation within the...
Article
Full-text available
Resumen este artículo describe un método para la extracción automática de estructuras vasculares en imágenes médicas en 3D. el método utiliza un algoritmo iterativo que adiciona puntos al esqueleto del vaso y detecta bifurcaciones que analizan el contenido de una esfera que se mueve a lo largo de su línea central. en cada iteración se realiza una s...
Article
Full-text available
In this paper, we propose a software framework for de- veloping interactive medical applications that execute on remote servers. The D visualization interface of the ap- plication can be disconnected from the computation core to allow rendering of the medical scene on the user dis- play while the heavy computations are executed on a re- mote workst...
Article
Full-text available
D medical images produced in health centers represent tremendous amounts of data spread over different places. Automatic processing of these data often allow quantitative and repeatable measurements on large databases that are valuable for diagnosis and pathology studies. Grid technologies offer large and distributed computing power suited to medic...
Conference Paper
Full-text available
3D medical images represent tremendous amounts of data. Grid technologies offer large and distributed computing power suited to medical images analysis. However, interactive programs with user supervision are made difficult on a grid architecture due to the remote program execution. In this paper we propose a new framework for interactive execution...

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Projects

Project (1)
Project
The acute respiratory distress syndrome (ARDS) is a serious disease secondary to lung injury, causing edema and a severe lung inflammation, hypoxia, and an activation of cellular coagulation. Mechanical ventilation with positive end-expiratory pressure (PEEP) is the first-line of treatment to maintain gas exchange that is compatible with survival. Nevertheless, inappropriate ventilator settings can generate lesions induced by mechanical ventilation (LIMV) and are responsible for excess mortality. While there are compelling arguments for the use of small tidal volumes (VT) in ARDS, the level of PEEP applied remains controversial. Prone ventilation (PV) is also frequently used to improve oxygenation without the pathophysiology of its effects being perfectly known. Finally, the constant high mortality of ARDS (about 50%) justifies experimental and clinical research in an attempt to improve the prognosis. Pulmonary imaging allows us to noninvasively obtain regional information on lung physiology. The thoracic scanner has led to major advances in understanding the pathophysiology mechanisms involved in ARDS and of the effects of ventilator treatment of this disease. The objectives of the research team are to: 1. Evaluate the pathophysiological mechanisms of lung injury and determinants of LIMV on animal tests. 2. Evaluate new pharmacological and ventilator therapies for ARDS and LIMV on animal tests. 3. Describe on humans patients the regional distribution and evolution of pulmonary physiological disturbances occurring during ARDS, to better understand the effects of mechanical ventilation on lung parenchyma to minimize the deleterious effects. 4. Evaluate new therapeutic strategies in humans using imaging modalities. Towards these objectives, new image-processing methods are developed and implemented in software tools, in order to assist make the image analysis and make its duration compatible with decision making in intensive care units.