Maxime Sermesant | INRIA - Academia.edu (original) (raw)
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Papers by Maxime Sermesant
Medecine sciences: M/S
Recent advances in computer science and medical imaging allow the design of new computational mod... more Recent advances in computer science and medical imaging allow the design of new computational models of the patient which are used to assist physicians. These models, whose parameters are optimized to fit in vivo acquired images, from cells to an entire body, are designed to better quantify the observations (computer aided diagnosis), to simulate the evolution of a pathology (computer aided prognosis), to plan and simulate an intervention to optimize its effects (computer aided therapy), therefore addressing some of the major challenges of medicine of 21(st) century.
Bulletin de l'Académie nationale de médecine
pour obtenir le grade de docteur délivré par l’École nationale supérieure des mines de Paris Spéc... more pour obtenir le grade de docteur délivré par l’École nationale supérieure des mines de Paris Spécialité “Informatique temps-réel, robotique et automatique” présentée et soutenue publiquement par Tommaso MANSI 10 Septembre 2010 Modèles physiologiques et statistiques du cœur guidés par imagerie médicale – Application à la tetralogie de Fallot –
This deliverable describes the final status of Task 10.4 of Workpackage 10 of the euHeart project... more This deliverable describes the final status of Task 10.4 of Workpackage 10 of the euHeart project. The aim of this task is to develop a prototype of an endovascular simulator of cardiac radiofrequency ablation. More precisely, its purpose is to simulate the patient-specific catheter navigation and radiofre- quency ablation of ventricular tachycardia. Since deliverable 10.4.1, work on the simulator prototype has focused on the development of a user interface and the integration of two software compo- nents : endovascular simulation and electrophysiology simulation. The first component aims at modeling the deformation of catheters and guidewires inside vessels and to generate a realistic visualization of the vis- ible X-ray images. The second component is focused on the simulation of electrophysiology. We have chosen the Mitchell-Schaeffer phenomenological model to represent the evolution of action potential on the myocardium. The integration of those 2 software components is difficul...
Predictive cardiac electrophysiology models can provide a substantial aid in the success of the t... more Predictive cardiac electrophysiology models can provide a substantial aid in the success of the treatment of cardiac arrhythmias. Sufficiently accurate model predictions highly depend on the personalisation of the model i.e. estimation of patient-specific model parameters. In this paper, we evaluate the prediction ability of a simplified ionic 3D cardiac electrophysiology model, the Mitchell-Schaeffer model (2003), after personalisation. The personalisation is performed by optimising the model parameters, using the epicardial surface depolarisation and repolarisation maps obtained ex-vivo from optical imaging of large porcine healthy heart. We also evaluate the sensitivity of the personalisation method to a pacing location and the estimated parameter values. This is done by comparing the personalisation results obtained with left ventricle endocardial pacing location to those obtained with right ventricle epicardial pacing location. Later, using the personalised electrophysiology mo...
Model personalization is essential for model-based surgical planning and treatment assessment. As... more Model personalization is essential for model-based surgical planning and treatment assessment. As alteration in material elasticity is a fundamental cause to various cardiac pathologies, estimation of material properties is important to model personalization. Although the myocardium is heterogeneous, hyperelastic, and orthotropic, existing image-based estimation frameworks treat the tissue as either heterogeneous but linear, or hyperelastic but homogeneous. In view of these, we present a physiology-based framework for estimating regional, hyperelastic, and orthotropic material properties. A cardiac physiological model is adopted to describe the macroscopic cardiac physiology. By using a strain-based objective function which properly reflects the change of material constants, the regional material properties of a hyperelastic and orthotropic constitutive law are estimated using derivative-free optimization. Experiments were performed on synthetic and real data to show the characteris...
Lecture Notes in Computer Science, 2007
Cardiac arrhythmias can develop complex electrophysiological patterns which complexify the planni... more Cardiac arrhythmias can develop complex electrophysiological patterns which complexify the planning and control of therapies, especially in the context of radio-frequency ablation. The development of electrophysiology models aims at testing different therapy strategies. However, current models are computationally expensive and often too complex to be adjusted with limited clinical data. In this paper, we propose a real-time method to simulate cardiac electrophysiology on triangular meshes. This model is based on a multi-front integration of the Fast Marching Method. This efficient approach opens new possibilities, including the ability to directly integrate modelling in the interventional room.
Lecture Notes in Computer Science, 2003
This article describes an experimental protocol to obtain in vivo macroscopic measures of the car... more This article describes an experimental protocol to obtain in vivo macroscopic measures of the cardiac electrical activity in a canine heart coupled with simulations done using macroscopic models of the canine myocardium. Electrical propagation simulations are conducted along with preliminary qualitative comparisons. Two different models are compared, one built from dissection and highly smoothed and one measured from Diffusion Tensor Imaging (DTI). We believe that validating a macroscopic model with in vivo measurements of the electrical activity should allow a future use of the model in a predictive way, for instance in radio-frequency ablation planning.
Lecture Notes in Computer Science, 2002
This article describes a process to include in a volumetric model various anatomical and mechanic... more This article describes a process to include in a volumetric model various anatomical and mechanical information provided by different sources. Three stages are described, namely a mesh construction, the non-rigid deformation of the tetrahedral mesh into various volumetric images, and the rasterization procedure allowing the transfer of properties from a voxel grid to a tetrahedral mesh. The method is experimented on various imaging modalities, demonstrating its feasibility. By using a biomechanical model, we include physically-based a priori knowledge which should allow to better recover the cardiac motion from images.
Medecine sciences: M/S
Recent advances in computer science and medical imaging allow the design of new computational mod... more Recent advances in computer science and medical imaging allow the design of new computational models of the patient which are used to assist physicians. These models, whose parameters are optimized to fit in vivo acquired images, from cells to an entire body, are designed to better quantify the observations (computer aided diagnosis), to simulate the evolution of a pathology (computer aided prognosis), to plan and simulate an intervention to optimize its effects (computer aided therapy), therefore addressing some of the major challenges of medicine of 21(st) century.
Bulletin de l'Académie nationale de médecine
pour obtenir le grade de docteur délivré par l’École nationale supérieure des mines de Paris Spéc... more pour obtenir le grade de docteur délivré par l’École nationale supérieure des mines de Paris Spécialité “Informatique temps-réel, robotique et automatique” présentée et soutenue publiquement par Tommaso MANSI 10 Septembre 2010 Modèles physiologiques et statistiques du cœur guidés par imagerie médicale – Application à la tetralogie de Fallot –
This deliverable describes the final status of Task 10.4 of Workpackage 10 of the euHeart project... more This deliverable describes the final status of Task 10.4 of Workpackage 10 of the euHeart project. The aim of this task is to develop a prototype of an endovascular simulator of cardiac radiofrequency ablation. More precisely, its purpose is to simulate the patient-specific catheter navigation and radiofre- quency ablation of ventricular tachycardia. Since deliverable 10.4.1, work on the simulator prototype has focused on the development of a user interface and the integration of two software compo- nents : endovascular simulation and electrophysiology simulation. The first component aims at modeling the deformation of catheters and guidewires inside vessels and to generate a realistic visualization of the vis- ible X-ray images. The second component is focused on the simulation of electrophysiology. We have chosen the Mitchell-Schaeffer phenomenological model to represent the evolution of action potential on the myocardium. The integration of those 2 software components is difficul...
Predictive cardiac electrophysiology models can provide a substantial aid in the success of the t... more Predictive cardiac electrophysiology models can provide a substantial aid in the success of the treatment of cardiac arrhythmias. Sufficiently accurate model predictions highly depend on the personalisation of the model i.e. estimation of patient-specific model parameters. In this paper, we evaluate the prediction ability of a simplified ionic 3D cardiac electrophysiology model, the Mitchell-Schaeffer model (2003), after personalisation. The personalisation is performed by optimising the model parameters, using the epicardial surface depolarisation and repolarisation maps obtained ex-vivo from optical imaging of large porcine healthy heart. We also evaluate the sensitivity of the personalisation method to a pacing location and the estimated parameter values. This is done by comparing the personalisation results obtained with left ventricle endocardial pacing location to those obtained with right ventricle epicardial pacing location. Later, using the personalised electrophysiology mo...
Model personalization is essential for model-based surgical planning and treatment assessment. As... more Model personalization is essential for model-based surgical planning and treatment assessment. As alteration in material elasticity is a fundamental cause to various cardiac pathologies, estimation of material properties is important to model personalization. Although the myocardium is heterogeneous, hyperelastic, and orthotropic, existing image-based estimation frameworks treat the tissue as either heterogeneous but linear, or hyperelastic but homogeneous. In view of these, we present a physiology-based framework for estimating regional, hyperelastic, and orthotropic material properties. A cardiac physiological model is adopted to describe the macroscopic cardiac physiology. By using a strain-based objective function which properly reflects the change of material constants, the regional material properties of a hyperelastic and orthotropic constitutive law are estimated using derivative-free optimization. Experiments were performed on synthetic and real data to show the characteris...
Lecture Notes in Computer Science, 2007
Cardiac arrhythmias can develop complex electrophysiological patterns which complexify the planni... more Cardiac arrhythmias can develop complex electrophysiological patterns which complexify the planning and control of therapies, especially in the context of radio-frequency ablation. The development of electrophysiology models aims at testing different therapy strategies. However, current models are computationally expensive and often too complex to be adjusted with limited clinical data. In this paper, we propose a real-time method to simulate cardiac electrophysiology on triangular meshes. This model is based on a multi-front integration of the Fast Marching Method. This efficient approach opens new possibilities, including the ability to directly integrate modelling in the interventional room.
Lecture Notes in Computer Science, 2003
This article describes an experimental protocol to obtain in vivo macroscopic measures of the car... more This article describes an experimental protocol to obtain in vivo macroscopic measures of the cardiac electrical activity in a canine heart coupled with simulations done using macroscopic models of the canine myocardium. Electrical propagation simulations are conducted along with preliminary qualitative comparisons. Two different models are compared, one built from dissection and highly smoothed and one measured from Diffusion Tensor Imaging (DTI). We believe that validating a macroscopic model with in vivo measurements of the electrical activity should allow a future use of the model in a predictive way, for instance in radio-frequency ablation planning.
Lecture Notes in Computer Science, 2002
This article describes a process to include in a volumetric model various anatomical and mechanic... more This article describes a process to include in a volumetric model various anatomical and mechanical information provided by different sources. Three stages are described, namely a mesh construction, the non-rigid deformation of the tetrahedral mesh into various volumetric images, and the rasterization procedure allowing the transfer of properties from a voxel grid to a tetrahedral mesh. The method is experimented on various imaging modalities, demonstrating its feasibility. By using a biomechanical model, we include physically-based a priori knowledge which should allow to better recover the cardiac motion from images.