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Article
Open AccessPrecision of CT-derived alveolar recruitment assessed by human observers and a machine learning algorithm in moderate and severe ARDS
Assessing measurement error in alveolar recruitment on computed tomography (CT) is of paramount importance to select a reliable threshold identifying patients with high potential for alveolar recruitment and t...
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Chapter and Conference Paper
Carotid Artery Wall Segmentation in Ultrasound Image Sequences Using a Deep Convolutional Neural Network
Intima-media thickness (IMT) of the common carotid artery is routinely measured in ultrasound images and its increase is a marker of pathology. Manual measurement being subject to substantial inter- and intra-...
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Article
Open AccessResponse to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter case–control computed tomography study
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 comp...
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Article
Non-invasive quantification of acute macrophagic lung inflammation with [11C](R)-PK11195 using a three-tissue compartment kinetic model in experimental acute respiratory distress syndrome
Imaging of acute lung inflammation is pivotal to evaluate innovative ventilation strategies. We aimed to develop and validate a three-tissue compartment kinetic model (3TCM) of [11C](R)-PK11195 lung uptake in exp...
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Article
Open AccessValidation of a novel system to assess end-expiratory lung volume and alveolar recruitment in an ARDS model
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-expi...
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Chapter and Conference Paper
Software for CT-image Analysis to Assist the Choice of Mechanical-Ventilation Settings in Acute Respiratory Distress Syndrome
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 mechani...
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Article
Voxel-wise assessment of lung aeration changes on CT images using image registration: application to acute respiratory distress syndrome (ARDS)
(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-recruitmen...
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Chapter and Conference Paper
Airway-Tree Segmentation in Subjects with Acute Respiratory Distress Syndrome
Acute respiratory distress syndrome (ARDS) is associated with a high mortality rate in intensive care units. To lower the number of fatal cases, it is necessary to customize the mechanical ventilator parameter...
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Chapter and Conference Paper
Airway Segmentation, Skeletonization, and Tree Matching to Improve Registration of 3D CT Images with Large Opacities in the Lungs
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 combi...
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Article
Simultaneous extraction of carotid artery intima-media interfaces in ultrasound images: assessment of wall thickness temporal variation during the cardiac cycle
The aim of this work is to present and evaluate a novel segmentation method for localizing the contours of the intima-media complex in the carotid artery wall through longitudinal ultrasound B-mode imaging....
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Article
Open AccessReliability of the nitrogen washin-washout technique to assess end-expiratory lung volume at variable PEEP and tidal volumes
End-expiratory lung volume measurement by the nitrogen washin-washout technique (EELVWI-WO) may help titrating positive end-expiratory pressure (PEEP) during acute respiratory distress syndrome (ARDS). Validation...
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Chapter and Conference Paper
A Modular Workflow Architecture for Coronary Centerline Extraction in Computed Tomography Angiography Data
Efficient and reliable extraction of coronary artery centerline from computed tomography angiography data is a prerequisite for a variety of medical imaging applications. Many authors have combined minimum-cos...
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Chapter and Conference Paper
CreaTools: A Framework to Develop Medical Image Processing Software: Application to Simulate Pipeline Stent Deployment in Intracranial Vessels with Aneurysms
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 ...
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Chapter and Conference Paper
A Fast Lesion Registration to Assist Coronary Heart Disease Diagnosis in CTA Images
This work introduces a 3D+t coronary registration strategy to minimize the navigation among cardiac phases during the process of ischaemic heart disease diagnosis. We propose to register image sub-volumes cont...
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Article
Automatic detection of abnormal vascular cross-sections based on density level detection and support vector machines
The goal is to automatically detect anomalous vascular cross-sections to attract the radiologist’s attention to possible lesions and thus reduce the time spent to analyze the image volume.
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Chapter and Conference Paper
Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images
Detecting vascular lesions is an important task in the diagnosis and follow-up of the coronary heart disease. While most existing solutions tackle calcified and non-calcified plaques separately, we present a n...
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Chapter and Conference Paper
Feature Selection for SVM-Based Vascular Anomaly Detection
This work explores feature selection to improve the performance in the vascular anomaly detection domain. Starting from a previously defined classification framework based on Support Vector Machines (SVM), we ...
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Chapter and Conference Paper
Algorithm for Blood-Vessel Segmentation in 3D Images Based on a Right Generalized Cylinder Model: Application to Carotid Arteries
The arterial lumen is modeled by a spatially continuous right generalized cylinder with piece-wise constant parameters. The method is the identifies the parameters of each cylinder piece from a series of plana...
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Chapter and Conference Paper
Can the Coronary Artery Centerline Extraction in Computed Tomography Images Be Improved by Use of a Partial Volume Model?
We propose the use of a statistical partial volume (PV) model to improve coronary artery tracking in 3D cardiac computed tomography images, combined with a modified centerline extraction algorithm. PV effect i...
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Article
Recursive tracking of vascular tree axes in 3D medical images
Object This article describes a method for automated extraction of branching structures in three dimensional (3D) medical images.
