0000000000620613

AUTHOR

Federico M. Sukno

0000-0002-2029-1576

showing 3 related works from this author

Sensitivity analysis of mesh warping and subsampling strategies for generating large scale electrophysiological simulation data

2011

The analysis of large-scale simulation data from virtual populations can be effective to gain computational insight into disease mechanisms and treatment strategies, which can serve for generating hypotheses for and focusing subsequent clinical trials. This can be instrumental in shortening the critical path in medical product development and more cost-effective clinical trials. A previously published pipeline established point correspondence among volumetric meshes to enable meaningful statistics on cardiac electrophysiological simulations on the anatomical distribution of a large-scale virtual population. Thin Plate Splines (TPS), derived from surface deformations, were used to warp a tem…

education.field_of_studyComputer scienceComputationPipeline (computing)Population02 engineering and technologyVolume mesh030204 cardiovascular system & hematology03 medical and health sciences0302 clinical medicinePoint distribution model0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPolygon meshImage warpingThin plate splineeducationAlgorithmSimulation
researchProduct

Atlas construction and image analysis using statistical cardiac models

2010

International audience; This paper presents a brief overview of current trends in the construction of population and multi-modal heart atlases in our group and their application to atlas-based cardiac image analysis. The technical challenges around the construction of these atlases are organized around two main axes: groupwise image registration of anatomical, motion and fiber images and construction of statistical shape models. Application-wise, this paper focuses on the extraction of atlas-based biomarkers for the detection of local shape or motion abnormalities, addressing several cardiac applications where the extracted information is used to study and grade different pathologies. The p…

education.field_of_studyAtlas (topology)Computer sciencebusiness.industryPopulationImage registration02 engineering and technologycomputer.software_genreIndependent component analysisMotion (physics)030218 nuclear medicine & medical imagingImage (mathematics)03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringMyocardial motion[INFO.INFO-IM]Computer Science [cs]/Medical Imaging020201 artificial intelligence & image processingComputer visionData miningArtificial intelligenceeducationbusinesscomputer
researchProduct

Influence of geometric variations on LV activation times: A study on an atlas-based virtual population

2010

We present the fully automated pipeline we have developed to obtain electrophysiological simulations of the heart on a large atlas-based virtual population. This virtual population was generated from a statistical model of left ventricular geometry, represented by a surface model. Correspondence between tetrahedralized volumetric meshes was obtained using Thin Plate Spline warps. Simulations are based on the fast solving of Eikonal equations, and stimulation sites correspond to physiological activation. We report variations of total activation time introduced by geometry, as well as variations in the location of last activation. The obtained results suggest that the total activation time ha…

education.field_of_studyAtlas (topology)Eikonal equationPopulationGeometryStatistical modelVolume mesh030204 cardiovascular system & hematology030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineFully automatedLeft ventricular geometryeducationThin plate splineMathematics
researchProduct