Maciej Orkisz

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Verified

Maciej verified their affiliation via an institutional email.

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• PhD
• Professor (Full) at Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé, French National Centre for Scientific Research

Background Patients with ARDS have heterogeneous lungs which exposes them to the risk of lung injury exacerbation by mechanical ventilation. Functional lung CT imaging gives a comprehensive description of regional lung mechanical behaviour. Here, we investigated whether CT registration-based regional lung function parameters are associated with sur...

Background Experimentally, ultra-protective ventilation (UPV, tidal volumes [VT] < 4 mL.kg⁻¹) strategies in conjunction with veno-venous extracorporeal membrane oxygenation (VV-ECMO) are associated with lesser ventilator-induced lung injuries (VILI) during acute respiratory distress syndrome (ARDS). However, whether these strategies reduce lung inf...

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-observer variability, automated methods have been proposed to find the contours of the intima-media complex (IMC) and to deduce the IMT there...

Background 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 to rationalize positive end-expiratory pressure (PEEP) setting in acute respiratory distress syndrome (ARDS). The aim of this study...

Whether prone positioning (PP) modulates acute lung inflammation by the modulation of biomechanical forces of ventilator-induced lung injuries (VILI) remains unclear. We aimed to demonstrate that PP decreases acute lung inflammation in animals with experimental ARDS. Animals were under general anesthesia and protective ventilation (tidal volume 6 m...

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...

Purpose 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 experimental acute respiratory distress syndrome (ARDS) to help quantify macrophagic inflammation, while accounting for the impact of...

CT registration-derived indices provide data on regional lung functional changes in COPD. However, because unlike spirometry which involves dynamic maximal breathing maneuvers, CT-based functional parameters are assessed between two static breath-holds, it is not clear how regional and global lung function parameters relate to each other. We assess...

After publishing an in-depth study that analyzed the ability of computerized methods to assist or replace human experts in obtaining carotid intima-media thickness (CIMT) measurements leading to correct therapeutic decisions, here the same consortium joined to present technical outlooks on computerized CIMT measurement systems and provide considera...

The objective of this study is the segmentation of the intima-media complex of the common carotid artery, on longitudinal ultrasound images, to measure its thickness. We propose a fully automatic region-based segmentation method, involving a supervised region-based deep-learning approach based on a dilated U-net network. It was trained and evaluate...

Purpose. Motion‐mask segmentation from thoracic computed tomography (CT) images is the process of extracting the region that encompasses lungs and viscera, where large displacements occur during breathing. It has been shown to help image registration between different respiratory phases. This registration step is, for example, useful for radiothera...

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...

Assessing arterial-wall motion and deformations may reveal pathologic alterations in biomechanical properties of the parietal tissues and, thus, contribute to the detection of vascular disease onset. Ultrasound image sequences allow the observation of this motion and many methods have been developed to estimate temporal changes in artery diameter a...

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...

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...

Motion extracted from the carotid artery wall provides unique information for vascular health evaluation. Carotid artery longitudinal wall motion corresponds to the multiphasic arterial wall excursion in the direction parallel to blood flow during the cardiac cycle. While this motion phenomenon has been well characterized, there is a general lack o...

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...

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...

Background: Macrophagic lung infiltration is pivotal in the development of lung biotrauma due to ventilation-induced lung injury (VILI). We assessed the performance of [11C](R)-PK11195, positron emission tomography (PET) radiotracer binding the translocator protein (TSPO), to quantify macrophage lung recruitment during experimental VILI. Methods:...

Objectifs L’évaluation de la courbure (EC) est un challenge dans la maladie de Peyronie (MP) et est une étape cruciale dans l’évaluation du patient. L’évaluation en consultation utilisant l’injection intracaverneuse (IC) combinée au goniomètre (IG) est probablement l’approche la plus standard. L’objectif de cette étude était d’évaluer l’utilité d’u...

The aim of this work is to delineate the lungs in three-dimensional image sequences of the same subject, with decreasing inhomogeneous contrasts, and to assess the applicability of the method to quantify the aeration in subjects diagnosed with acute respiratory distress syndrome (ARDS).

Objectives. The context of the study is the early detection of atherosclerosis. The specific aim of the article is to estimate the longitudinal displacements of the carotid artery wall and assess the discriminative power of the estimated motion patterns to distinguish at-risk individuals from healthy subjects. Methods. Motion estimation builds on...

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 parameters according to the patient’s clinical condition. For this, lung segmentation is required to assess aeration and alveolar recruitment. Airway...

Curvature assessment (CA) in Peyronie’s disease (PD) is a critical step in the evaluation of the PD patient. Office assessment using combined intracavernosal injection and goniometry (IG) is the standard approach. The aim of this study was to evaluate the utility of novel software (GoSoft) for the measurement of the PD deformity. Population include...

Carotid longitudinal kinetics (LOKI) has proven to be modified by arteriosclerosis. Although most teams use only LOKI amplitude to distinguish at-risk patients from healthy controls, the whole motion may be useful to detect pathological behaviors. In this study typical motion patterns were isolated and their association with cardiovascular risk was...

The carotid-artery intima-media thickness (IMT) is strongly correlated with cardio-vascular disease, but tends to overestimate the risk. Recently a promising predictor has been discovered: the IMT temporal variation during the cardiac cycle, which reflects the arterial stiffness and may be more sensitive than classical risk markers. Few teams have...

A cylindrical geometric model, the right generalized cylinder (RGC) model, is presented in this chapter. This model follows the definition given by Binford in his taxonomy. The model can define complex (as well as simple) cylinders with few parameters, and it could be used to construct digital phantoms, simulate vascular shapes, create 3D models to...

The aim of this study was to introduce and evaluate a contour segmentation method to extract the interfaces of the intima-media complex in carotid B-mode ultrasound images. The method was applied to assess the temporal variation of the intima-media thickness during the cardiac cycle. The main methodological contribution of the proposed approach is...

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...

p>L\textquoterightinvention concerne les matériaux utilisés pour la réalisation de répliques (ou fantômes) de vaisseaux sanguins patient-spécifiques par une technique de fabrication additive. Ces répliques sont fabriquées en matériaux synthétiques dont les propriétés sont très représentatives de celles déterminées sur des vaisseaux sanguins humains...

To match anatomical trees such as airways, we propose a graph-based strategy combined with an appropriate distance function. The strategy was devised to cope with topological and geometrical differences that may arise between trees corresponding to the same subject, but extracted from images acquired in different conditions. The proposed distance f...

Abstract The aim of the present study was to define biomechanical parameters of the healthy human abdominal aorta, usable to develop materials for the aortic phantom production. Such phantoms used in the training of endovascular treatment must describe the same morphology and mechanical behavior properties as the patient's aorta. To accurately iden...

A software to quantify the 2D motion of the arterial wall and the variation of the intima-media thickness during the cardiac cycle in clinical B-mode ultrasound imaging download link : https://www.creatis.insa-lyon.fr/carolab/

L'objectif de ce travail est de générer une description symbolique d'arbres bronchiques à partir d'images scanner 3D acquises dans des conditions de ventilation différentes, afin de pouvoir comparer ces arbres entre eux. La méthode s'applique au résultat binaire d'un algorithme de segmentation. Son originalité réside dans une utilisation exhaustive...

Les maladies cardiovasculaires étant la première cause de mortalité dans le monde, l'imagerie médicale vasculaire est depuis longtemps mise à contribution pour apporter des éléments clés au diagnostic et au choix thérapeutique. La notion d'angiographie est traditionnellement associée à l'imagerie de la lumière vasculaire, car les recommandations th...

The aim of the present study was to develop and validate a method based on medical imaging to identify the parameters of a hyper-viscoelastic model suitable for describing the mechanical behavior of vascular tissues, focusing on the aorta. The method uses an inflation-extension test, and the model comprises one hyperelastic element in parallel with...

This work was carried out within a research project aiming to produce replicas (or phantoms) representing the mechanical behavior of the cardiovascular system as faithfully as possible. Healthy vessels as well as vessels suffering from pathologies should be considered. Various applications of these phantoms can be forecast: repeating surgical proce...

The microstructure evolution of the aortic tissue in cardiovascular pathologies, such as aneurysm or arthrosclerosis, leads to an overall change of biomechanical properties. Successful treatment (e.g endovascular) of these pathologies depends on the comprehension of these properties and on the surgeon expertise. Many investigators have created gene...

The overall goal of the study is to detect coronary artery lesions regardless their nature, calcified or hypo-dense. To avoid explicit modelling of heterogeneous lesions, we adopted an approach based on machine learning and using unsupervised or semi-supervised classifiers. The success of the classifiers based on machine learning strongly depends o...

The proposed method automatically segments the lungs in different mechanical ventilation conditions in an animal model with ARDS induced. It consists of one initial automatic lung segmentation combined with a cascade registration and transformation process. The results present a high agreement with lung slices manually traced. Although the bottom r...

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,...

This work aims to develop aortic phantoms able to mimic the real healthy or pathologic shape and mechanical behavior for a specific patient. These specific replicas must also be usable in physiological dynamic condition for the research and surgery education. Thus, the mechanical behavior of these replicas must comprise both hyperelastic and viscoe...

Longitudinal kinetics (LOKI) of the arterial wall consists in the shearing motion of the intima-media complex over the adventitia layer in the direction parallel to the blood flow during the cardiac cycle. The aim of this study is to investigate the local variability of LOKI amplitude along the length of the vessel. Using a previously validated mot...

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. The method is used to investigate the association between atherosclerosis risk factors and the cyclic variation of the intima-media thickness d...

The VESSEL12 (VESsel SEgmentation in the Lung) challenge objectively compares the performance of different algorithms to identify vessels in thoracic computed tomography (CT) scans. Vessel segmentation is fundamental in computer aided processing of data generated by 3D imaging modalities. As manual vessel segmentation is prohibitively time consumin...

The aim of this study is to propose a motion tracking framework dedicated to estimate the trajectory of the common carotid artery wall in B-mode ultrasound sequences. As the image quality of routinely acquired scans is often degraded by a number of factors, accurate estimation of the tissue motion is a challenging task. To address this issue, the m...

Acute Respiratory Distress Syndrome (ARDS) has a mortality estimated between 40% and 50% in adults. Its management relies on mechanical ventilation to support the respiration. However, it is estimated that 25% of the deaths might be avoided with parameter setting of the ventilation better adapted to the particular patients. A new medical research s...

BACKGROUND. 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 of this technique has been previously performed using computed tomography (EELVCT), but at mild PEEP levels, and relatively l...

Recent studies emphasized the role of the bone lacuno-canalicular network (LCN) in the understanding of bone diseases such as osteoporosis. However, suitable methods to investigate this structure are lacking. The aim of this paper is to introduce a methodology to segment the LCN from three-dimensional (3D) synchrotron radiation nano-CT images. Segm...

BACKGROUND Computed tomography angiography (CTA) images are increasingly used to diagnose coronary artery disease. Various (semi-) automatic image processing techniques can assist the physicians in the detection and quantification of the lesions. Extraction of the artery centerline is a key to "unroll" the artery and generate a curved planar reform...

Acute Respiratory Distress Syndrome (ARDS) has a mortality estimated between 40% and 50% in adults. Its management relies on mechanical ventilation to support the respiration process. However, it is estimated that 25% of the deaths might be avoided with parameter setting of the ventilation better adapted to the particular patients. A new medical re...

Objectives The long-term goal of this project is to quantify the aeration of lung parenchyma in 3D CT scans of patients with acute respiratory distress syndrome. This task requires lung delineation, as well as elimination of airways and vessels. The objective of this article was to present and evaluate the method used to segment out the vascular tr...

The long-term goal of our study is to understand the internal organization of the octocoral stem canals, as well as their physiological and functional role in the growth of the colonies, and finally to assess the influence of climatic changes on this species. Here we focus on imaging tools, namely acquisition and processing of three-dimensional hig...

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...

L'évolution de la microstructure des tissus aortiques est à l'origine de pathologies cardiovasculaires tels que les anévrismes [1] ou les dissections aortiques, qui se traduisent par un changement global des propriétés biomécaniques. La réussite des interventions chirurgicales pour ces maladies, telles que la pose d'endoprothèse, dépend de la compr...

We aim at investigating arterial diseases at early stage, by assessing the longitudinal (i.e. in the same direction as the blood flow) motion of the intima-media complex. This recently evidenced phenomenon has been shown to provide relevant and complementary information about vascular health. Our method assesses the longitudinal and radial motion f...

Though conventional coronary angiography (CCA) has been the standard of reference for diagnosing coronary artery disease in the past decades, computed tomography angiography (CTA) has rapidly emerged, and is nowadays widely used in clinical practice. Here, we introduce a standardized evaluation framework to reliably evaluate and compare the perform...

The method requires the artery endpoints as input. A modified minimal path approach is used to extract a centerline between these points. A Fast-Marching algorithm with appropriate speed function and stopping criterion is then used to extract 2D contours in cross-sectional planes. These contours are used to progressively reconstruct a regularized c...

A method to semi-automatically segment the pulmonary vascular tree from computed axial tomography (CAT) images is presented. The main goal is to aid the diagnosis and treatment of acute respiratory distress syndrome and pulmonary embolism. The proposed methodology is based on a variational region growing method and a multi-scale vessel enhancement...

This work presents an original 2D motion estimation framework, applied to the carotid artery in ultrasound B mode sequences. Our method is based on a specific block matching approach, in which the reference block is updated in each frame by a Kalman filtering scheme. Applied in vivo to a cohort of 28 subjects, our method showed a high robustness an...

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...

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...

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 containing suspected arterial lesions at two cardiac phases, in-stead of performing a registration of the complete cardiac volume through the who...

This paper highlights the first results delivered when modelling the blood flow within a stented intracranial aneurysm. This research is carried out in the framework of the THROMBUS project (European FP7 project), whose main objective is the theoretical understanding of the complex thrombosis process within intracranial aneurysms, its cause in term...

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...

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...

We present here an enhancement of our Contour and Speckle Tracking (CST) method, dedicated to assess the bi-dimensional (radial and longitudinal) movement of the common carotid artery walls in ultrasound B-mode sequences, in an attempt to detect early-stage atherosclerosis. CST is based on a speckle tracking approach guided by contour segmentation....

This paper presents an approach for the segmentation of bone lacunar-canalicular networks in Synchrotron Radiation micro CT images. Segmentation of such structures is challenging due to several factors such as limited contrast and signal to noise ratio, partial volume effects and the large amount of data that needs to be processed which restrains u...

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 new algorithm capable of detecting both types of lesions in CT images. It builds up on a semi-supervised classification framework, in which th...

This work presents a method dedicated to estimate the bidimensional (radial and longitudinal) movement of the carotid artery walls in in-vivo B-mode ultrasound sequences. The goal is the early detection of atherosclerosis. Our approach is based on a dual technique of segmentation and speckle tracking. Applied on 10 clinical sequences, it showed a h...

This paper describes an evaluation framework that allows a standardized and objective quantitative comparison of carotid artery lumen segmentation and stenosis grading algorithms. We describe the data repository comprising 56 multi-center, multi-vendor CTA datasets, their acquisition, the creation of the reference standard and the evaluation measur...

Arterial tree segmentation is a major step for pulmonary embolism analysis and detection. The present document proposes a technique applied to CT images already diagnosed as embolism positive. In order to perform the segmentation of the arterial tree, the lung's region is transformed into a mask, so that the processed volume gets reduced. Then, thr...

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. We assume that both lesions and calcifications can be considered as local outliers compared to a normal cross-section. Our approach uses an intensity metric with...

This paper describes the adaptations of MARACAS algorithm to the segmentation and quantification of vascular structures in CTA images of the carotid artery. The MARACAS algorithm, which is based on an elastic model and on a multi-scale eigen-analysis of the inertia matrix, was originally designed to segment a single artery in MRA images. The modifi...

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 modi�fied centerline extraction algorithm. PV eff�ect is a challenge when trying to separate arteries from blood-fi�lled cardiac cavities, causing leakage and erroneous segmentations. We include...

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 planar contours extracted along an approximate axis of the artery. This curve is defined by a minimal path between the artery end-points. The cont...

Detecting vascular lesions is an important task in the diagnosis and follow-up of the coronary heart disease. While most existing solutions tackle calci�ed and non-calci�ed plaques separately, we present a new algorithm capable of detecting both types of lesions in CT images. It builds up on a semi-supervised classi�cation framework, in which the t...

This paper describes the adaptations of MARACAS algorithm to the segmentation and quantification of vascular structures in CTA images of the carotid artery. The MARACAS algorithm, which is based on an elastic model and on a multi-scale eigen-analysis of the inertia matrix, was originally designed to segment a single artery in MRA images. The modifi...