Search results for "Computer-aided"

showing 10 items of 416 documents

Prosthetically‐Driven Full‐Mouth Implant‐Supported Prostheses Using Guided Surgical Implant Planning with Composite Resin Markers: A Case Report

2021

This report describes a prosthetically-driven implant planning method, guided by the alignment procedures between the cone beam computed tomography, intraoral digital scans, and digitized maxillary and mandibular interim complete dentures using intraoral composite resin markers as a common reference. The markers were attached to the keratinized oral mucosa of the edentulous ridges using cyanoacrylate and kept in place during the digitizing procedures. The technique provides a simpler and more economical alternative to conventional prosthetically-driven static implant planning methods.

Cone beam computed tomographymedicine.medical_treatment0206 medical engineering02 engineering and technologyComposite Resinslaw.invention03 medical and health sciences0302 clinical medicinelawPlanning methodmedicineHumansGeneral DentistryDental ImplantsOrthodonticsMouthbusiness.industry030206 dentistry020601 biomedical engineeringSurgical implantCyanoacrylateComputer-Aided DesignDental Prosthesis Implant-SupportedImplantDenturesProsthodonticsbusinessImplant supportedJournal of Prosthodontics
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Chebyshev’s Method on Projective Fluids

2020

We demonstrate the acceleration potential of the Chebyshev semi-iterative approach for fluid simulations in Projective Dynamics. The Chebyshev approach has been successfully tested for deformable bodies, where the dynamical system behaves relatively linearly, even though Projective Dynamics, in general, is fundamentally nonlinear. The results for more complex constraints, like fluids, with a particular nonlinear dynamical system, remained unknown so far. We follow a method describing particle-based fluids in Projective Dynamics while replacing the Conjugate Gradient solver with Chebyshev’s method. Our results show that Chebyshev’s method can be successfully applied to fluids and potentially…

Conjugate gradient solverComputer sciencesimulace tekutinanimationAcceleration (differential geometry)02 engineering and technologyDynamical systemChebyshev filternonlinear optimization0202 electrical engineering electronic engineering information engineeringanimaceProjective testnelineární optimalizaceprojektivní dynamikaconstraint-based simulationsimulace založená na omezeníMathematical analysis020207 software engineeringComputer Graphics and Computer-Aided DesignComputational MathematicsNonlinear systemprojective dynamicsParticle020201 artificial intelligence & image processingfluid simulationProjective dynamicsSoftware
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A completely automated CAD system for mass detection in a large mammographic database

2006

Mass localization plays a crucial role in computer-aided detection (CAD) systems for the classification of suspicious regions in mammograms. In this article we present a completely automated classification system for the detection of masses in digitized mammographic images. The tool system we discuss consists in three processing levels: (a) Image segmentation for the localization of regions of interest (ROIs). This step relies on an iterative dynamical threshold algorithm able to select iso-intensity closed contours around gray level maxima of the mammogram. (b) ROI characterization by means of textural features computed from the gray tone spatial dependence matrix (GTSDM), containing secon…

Contextual image classificationPixelDatabasemedicine.diagnostic_testComputer scienceImage processingGeneral MedicineImage segmentationmedicine.diseasecomputer.software_genreBreast cancerImage textureComputer-aided diagnosismedicineMedical imagingMammographycomputerMedical Physics
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Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images

2017

International audience; In this paper, we present a fast and interactive graph cut method for 3D segmentation of the endocardial wall of the left ventricle (LV) adapted to work on two of the most widely used modalities: magnetic resonance imaging (MRI) and echocardiography. Our method accounts for the fundamentally different nature of both modalities: 3D echocardiographic images have a low contrast, a poor signal-to-noise ratio and frequent signal drop, while MR images are more detailed but also cluttered and contain highly anisotropic voxels. The main characteristic of our method is to work in a 3D Bezier coordinate system instead of the original Euclidean space. This comes with several ad…

Convex hullHeart VentriclesEnergy MinimizationCoordinate systemEchocardiography Three-DimensionalHealth InformaticsBézier curve02 engineering and technology[SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicinecomputer.software_genreAutomated Segmentation030218 nuclear medicine & medical imaging[ SDV.IB.MN ] Life Sciences [q-bio]/Bioengineering/Nuclear medicine03 medical and health sciences0302 clinical medicineVoxelCut0202 electrical engineering electronic engineering information engineering[INFO.INFO-IM]Computer Science [cs]/Medical ImagingMagnetic-Resonance ImagesHumansRadiology Nuclear Medicine and imagingComputer vision[ SDV.IB ] Life Sciences [q-bio]/BioengineeringCardiac MriImage gradientMathematicsWhole MyocardiumLeft ventricular 3-D segmentationRadiological and Ultrasound Technology[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingEuclidean spacebusiness.industryComputer Graphics and Computer-Aided DesignMagnetic Resonance ImagingEchocardiographyConstrained Level-SetGraph (abstract data type)020201 artificial intelligence & image processing[SDV.IB]Life Sciences [q-bio]/BioengineeringComputer Vision and Pattern RecognitionArtificial intelligencebusiness2d-EchocardiographycomputerAlgorithmsGraph cutMRI
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Coupling Mechanics of Antikythera Gearwheels

2012

This paper discusses the gear coupling mechanics of the ancient Antikythera mechanism, among whose distinctive characteristics was the triangular shaping of the teeth. The engagement of the tooth pairs is analyzed in detail, estimating the temporal variation of the speed ratio due to the back and forth shifting of the relative instant center. The admissibility of the theoretical contact points is carefully checked, and the magnitude of the successive tooth collisions is calculated together with the energy losses arising from the particular nature of the coupling. Some interesting results are that only one tooth pair turns out to be active at each time instant and the real path may belong on…

CouplingEngineeringClassical mechanicsMechanics of Materialsbusiness.industryMechanical Engineeringtriangular tooth gearing history of mechanicsMechanicsDissipationbusinessComputer Graphics and Computer-Aided DesignSettore ING-IND/13 - Meccanica Applicata Alle MacchineComputer Science Applications
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Segmentation Integrating Watershed and Shape Priors Applied to Cardiac Delayed Enhancement MR Images

2017

International audience; Background: In recent years, there has been a rapid rise in the use of shape priors applied to segmentation process of medical images. Previous approaches on left ventricle segmentation from Delayed-Enhancement Magnetic Resonance Imaging (DE-MRI) have focused on the extraction of myocardium or just diseased region in short axis orientation. However these studies did not take into account the segmentation of non-diseased myocardium from DE-MRI. The segmentation of non-diseased myocardium from DE-MRI, has some useful applications. For instance it can simplify the PET-MR registration process.Methods: This paper presents a novel semi-automatic segmentation method of non-…

DE-MRIComputer science[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingBiomedical EngineeringBiophysicsScale-space segmentation030204 cardiovascular system & hematology030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineSegmentationSørensen–Dice coefficientInformationMagnetic-Resonance ImagesSegmentationComputer vision[ SDV.IB ] Life Sciences [q-bio]/BioengineeringCardiac imaging[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/ImagingOrientation (computer vision)business.industryImage segmentationGold standard (test)Computer aided diagnosisComputer-aided diagnosisGraph Cuts[SDV.IB]Life Sciences [q-bio]/BioengineeringArtificial intelligencebusinessShape priorsCardiac imaging
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Applying a Data Quality Model to Experiments in Software Engineering

2014

Data collection and analysis are key artifacts in any software engineering experiment. However, these data might contain errors. We propose a Data Quality model specific to data obtained from software engineering experiments, which provides a framework for analyzing and improving these data. We apply the model to two controlled experiments, which results in the discovery of data quality problems that need to be addressed. We conclude that data quality issues have to be considered before obtaining the experimental results.

Data collectionSoftware sizingbusiness.industryComputer scienceData qualitySoftware constructionSoftware verification and validationComputer-aided engineeringbusinessSoftware engineeringSoftware verificationData modeling
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A completely automated CAD system for mass detection in a large mammographic database.

2006

Mass localization plays a crucial role in computer-aided detection (CAD) systems for the classification of suspicious regions in mammograms. In this article we present a completely automated classification system for the detection of masses in digitized mammographic images. The tool system we discuss consists in three processing levels: (a) Image segmentation for the localization of regions of interest (ROIs). This step relies on an iterative dynamical threshold algorithm able to select iso-intensity closed contours around gray level maxima of the mammogram. (b) ROI characterization by means of textural features computed from the gray tone spatial dependence matrix (GTSDM), containing secon…

Databases FactualInformation Storage and RetrievalReproducibility of ResultsBreast NeoplasmsSensitivity and SpecificityNeural networkPattern Recognition AutomatedRadiographic Image EnhancementBreast cancerTextural featuresRadiology Information SystemsImage processingComputer-aided detection (CAD)Artificial IntelligenceCluster AnalysisDatabase Management SystemsHumansRadiographic Image Interpretation Computer-AssistedFemaleBreast cancer; Computer-aided detection (CAD); Image processing; Mammographic mass detection; Neural network; Textural featuresMammographic mass detectionAlgorithmsMammographyMedical physics
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Exudate-based diabetic macular edema detection in fundus images using publicly available datasets

2010

International audience; Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME through the presence of exudation. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publi…

Databases Factualgenetic structuresFeature extractionDiabetic macular edemaHealth Informatics02 engineering and technologySensitivity and SpecificityMacular Edema030218 nuclear medicine & medical imagingPattern Recognition Automated03 medical and health sciences0302 clinical medicineWavelet decompositionWaveletImage Interpretation Computer-Assisted[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringFalse positive paradoxMedicineHumansRadiology Nuclear Medicine and imagingComputer visionGround truthDiabetic RetinopathyRadiological and Ultrasound Technologybusiness.industryReproducibility of ResultsDiabetic retinopathyExudates and Transudatesmedicine.diseaseImage EnhancementComputer Graphics and Computer-Aided Designeye diseases[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessClassifier (UML)AlgorithmsRetinoscopy
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Integrated Computer-Aided Innovation: The PROSIT approach

2009

Abstract The paper presents a methodology aimed at the improvement of the product development cycle through the integration of Computer-Aided Innovation (CAI) with Optimization and PLM systems. The interoperability of these tools is obtained through the adoption of Optimization systems as a bridging element between CAI and PLM systems. This methodology was developed within the PROSIT project ( http://www.kaemart.it/prosit ). The paper describes the main issues related to the integration of these complementary instruments and the solutions proposed by the authors. More specifically, the main idea of the PROSIT project to link CAI and Optimization systems is the adoption of the latter tools n…

Decision support systemGeneral Computer Sciencebusiness.industryComputer scienceKnowledge-based engineeringInteroperabilityKnowledge engineeringGeneral Engineeringlaw.inventionKnowledge baselawNew product developmentComputer-Aided Innovation Knowledge-Based Engineering Optimization systems Product Lifecycle ManagementSystems engineeringTRIZElectronic design automationbusinessSettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria Industriale
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