0000000000319283

AUTHOR

Alessandro Cristoforetti

0000-0003-1665-6656

showing 5 related works from this author

A Novel Approach to Propagation Pattern Analysis in Intracardiac Atrial Fibrillation Signals

2010

The purpose of this study is to investigate propagation patterns in intracardiac signals recorded during atrial fibrillation (AF) using an approach based on partial directed coherence (PDC), which evaluates directional coupling between multiple signals in the frequency domain. The PDC is evaluated at the dominant frequency of AF signals and tested for significance using a surrogate data procedure specifically designed to assess causality. For significantly coupled sites, the approach allows also to estimate the delay in propagation. The methods potential is illustrated with two simulation scenarios based on a detailed ionic model of the human atrial myocyte as well as with real data recordi…

Frequency analysiComputer scienceBiomedical EngineeringElectrogramAction PotentialsIntracardiac injectionPattern Recognition AutomatedSurrogate datalaw.inventionHeart Conduction SystemlawAtrial FibrillationmedicineHumansCoherence (signal processing)Computer SimulationDiagnosis Computer-AssistedSimulationFrequency analysisbusiness.industryBody Surface Potential MappingPartial directed coherenceModels CardiovascularPropagation patternAtrial fibrillationPattern recognitionAtrial arrhythmiamedicine.diseaseInformation engineeringMappingFrequency domainSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityMultivariate autoregressive modelingArtificial intelligencebusinessSimulationAnnals of Biomedical Engineering
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A stochastic approach for automatic registration and fusion of left atrial electroanatomic maps with 3D CT anatomical images.

2007

The integration of electroanatomic maps with highly resolved computed tomography cardiac images plays an important role in the successful planning of the ablation procedure of arrhythmias. In this paper, we present and validate a fully-automated strategy for the registration and fusion of sparse, atrial endocardial electroanatomic maps (CARTO maps) with detailed left atrial (LA) anatomical reconstructions segmented from a pre-procedural MDCT scan. Registration is accomplished by a parameterized geometric transformation of the CARTO points and by a stochastic search of the best parameter set which minimizes the misalignment between transformed CARTO points and the LA surface. The subsequent …

MaleRadiology Nuclear Medicine and ImagingPhysics and Astronomy (miscellaneous)Computer sciencemedicine.medical_treatmentBiomedical EngineeringComputed tomographySensitivity and SpecificityPattern Recognition AutomatedImaging Three-DimensionalLeft atrialArtificial IntelligenceAtrial FibrillationmedicineHumansComputer visionStochastic Processesmedicine.diagnostic_testRadiological and Ultrasound Technologybusiness.industryGeometric transformationBody Surface Potential MappingReproducibility of ResultsAblationCatheterSubtraction TechniqueFemaleArtificial intelligencebusinessTomography X-Ray ComputedAlgorithmsPhysics in medicine and biology
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A Multi-Variate Predictability Framework to Assess Invasive Cardiac Activity and Interactions during Atrial Fibrillation

2017

Objective: This study introduces a predictability framework based on the concept of Granger causality (GC), in order to analyze the activity and interactions between different intracardiac sites during atrial fibrillation (AF). Methods: GC-based interactions were studied using a three-electrode analysis scheme with multi-variate autoregressive models of the involved preprocessed intracardiac signals. The method was evaluated in different scenarios covering simulations of complex atrial activity as well as endocardial signals acquired from patients. Results: The results illustrate the ability of the method to determine atrial rhythm complexity and to track and map propagation during AF. Conc…

medicine.medical_specialtyComputer science0206 medical engineeringAtrial fibrillation (AF)Biomedical EngineeringCardiac activity02 engineering and technology030204 cardiovascular system & hematologyIntracardiac injectionmulti-variate autoregressive (MVAR) modeling03 medical and health sciences0302 clinical medicineHeart Conduction SystemInternal medicineAtrial Fibrillationmultielectrode cathetermedicineHumansComputer SimulationPredictabilityModels Statisticalbusiness.industryBody Surface Potential MappingModels CardiovascularPattern recognitionAtrial fibrillationmedicine.disease020601 biomedical engineeringRandom variateAutoregressive modelData Interpretation Statisticalbipolar electrograms (EGMs)Multivariate AnalysisSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaCardiologyGranger causality (GC)Artificial intelligencebusiness
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Isolation of the left atrial surface from cardiac multi-detector CT images based on marker controlled watershed segmentation

2006

The delineation of left atrium (LA) and pulmonary veins (PVs) anatomy from high resolution images holds importance for atrial fibrillation (AF) investigation and treatment. In this study, a semiautomatic segmentation procedure for LA and PVs inner surface from contrast enhanced CT data was developed. The procedure consists of a three dimensional marker controlled watershed segmentation applied to the external morphological gradient, followed by variable threshold surface extraction from the original intensity image. A preliminary anisotropic non-linear filtering was implemented to improve the S/N ratio of CT images. The performance of segmentation was evaluated on cardiac CT scans of 12 AF …

Morphological gradientPsychology (all)Computer scienceBiomedical EngineeringBiophysicsContrast MediaMathematical morphologycomputer.software_genreSensitivity and SpecificityPattern Recognition AutomatedImaging Three-DimensionalVoxelAtrial FibrillationHumansSegmentationOrthopedics and Sports MedicineHeart AtriaComputed tomographyAnisotropic filteringImage segmentationAnisotropic filteringModels CardiovascularReproducibility of ResultsGold standard (test)Image segmentationAnatomy RegionalWatershedIntensity (physics)Pulmonary VeinsMathematical morphologySubtraction TechniqueLeft atriumSettore ING-INF/06 - Bioingegneria Elettronica E Informaticacardiovascular systemTomography X-Ray ComputedcomputerBiomedical engineering
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Registration and fusion of segmented left atrium CT images with CARTO electrical maps for the ablative treatment of atrial fibrillation

2005

This study aims to extract the interior surface of the left atrium (LA) and pulmonary veins (PVs) from threedimensional tomographic data and to integrate it with LA CARTO electrical maps. The separation of LA and PVs from other overlapping structures of the heart was performed processing 3D CT data by marker-controlled watershed segmentation and surface extraction. CARTO maps were then registered on the L A internal surface by a stochastic optimization algorithm based on simulated annealing. The residual registration error resulted inferior to 3 mm. The integration between electrophysiological and high resolved anatomic information of LA results feasible and may constitute a significant sup…

Stochastic optimization algorithmmedicine.medical_specialtybusiness.industryLeft atriumImage registrationAtrial fibrillationImage segmentationmedicine.diseasemedicine.anatomical_structureAblative caseSettore ING-INF/06 - Bioingegneria Elettronica E Informaticacardiovascular systemmedicineRadiologyOverlapping structuresbusinessCardiology and Cardiovascular MedicineSoftwareBiomedical engineering
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