Search results for "image resolution"

showing 10 items of 377 documents

Performance evaluation of a high resolution dedicated breast PET scanner

2016

Purpose: Early stage breast cancers may not be visible on a whole-body PET scan. To overcome whole-body PET limitations, several dedicated breast positron emission tomography (DbPET) systems have emerged nowadays aiming to improve spatial resolution. In this work the authors evaluate the performance of a high resolution dedicated breast PET scanner (Mammi-PET, Oncovision). Methods: Global status, uniformity, sensitivity, energy, and spatial resolution were measured. Spheres of different sizes (2.5, 4, 5, and 6 mm diameter) and various 18 fluorodeoxyglucose (18F-FDG) activity concentrations were randomly inserted in a gelatine breast phantom developed at our institution. Several lesion-to-ba…

FluorodeoxyglucoseMaterials sciencemedicine.diagnostic_testbusiness.industryResolution (electron density)General MedicineIterative reconstructioncomputer.software_genre030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicinePositron emission tomographyVoxel030220 oncology & carcinogenesisPet scannermedicineImage sensorNuclear medicinebusinesscomputerImage resolutionmedicine.drugMedical Physics
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Testing Ikonos and Landsat 7 ETM+ Potential for Stand-Level Forest Type Mapping by Soft Supervised Approaches

2003

Forest types can be adopted as a suitable reference for classifying survey units within multipurpose forest resources inventories, at the properly considered level. This kind of hierarchical classification approach integrates an ecologically meaningful per-habitat perspective with practical survey, planning and management requirements. Advanced remote sensing technologies can be valuable tools for a cost-effective implementation of such an approach. In the present paper, data from high (Landsat 7 ETM+) and very high (Ikonos) spatial resolution satellite sensors were tested to understand their potential contribution supporting stand-level forest type mapping under Mediterranean conditions. I…

Forest typeRemote sensing (archaeology)Computer scienceMaximum likelihoodPerspective (graphical)SatelliteSubpixel renderingImage resolutionFuzzy logicRemote sensing
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k-Space filtering in 2D gradient-echo breath-hold hyperpolarized3He MRI: Spatial resolution and signal-to-noise ratio considerations

2002

In this work some of the factors that can influence the signal-to-noise ratio (SNR) and spatial resolution in MR images of inhaled hyperpolarized gases are systematically addressed. In particular, the effects of RF depletion of longitudinal polarization and image gradient diffusion dephasing were assessed in terms of their contribution to a k-space filter. By means of theoretical simulations and a novel method of experimental validation using a variable transverse magnetization of the 1H signal, systematic quantitative and qualitative investigations of the effects of k-space filtering intrinsic to imaging of hyperpolarized gas were made. A 2D gradient-echo image is considered for a range of…

Fourier Analysisbusiness.industryChemistryDephasingk-spaceFilter (signal processing)Polarization (waves)HeliumMagnetic Resonance Imaginglaw.inventionOpticsNuclear magnetic resonanceIsotopeslawImage Processing Computer-AssistedHumansRadiology Nuclear Medicine and imagingCartesian coordinate systemHyperpolarization (physics)businessImage resolutionImage gradientMagnetic Resonance in Medicine
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Estimation of Purkinje trees from electro-anatomical mapping of the left ventricle using minimal cost geodesics

2015

The electrical activation of the heart is a complex physiological process that is essential for the understanding of several cardiac dysfunctions, such as ventricular tachycardia (VT). Nowadays, patient-specific activation times on ventricular chambers can be estimated from electro-anatomical maps, providing crucial information to clinicians for guiding cardiac radio-frequency ablation treatment. However, some relevant electrical pathways such as those of the Purkinje system are very difficult to interpret from these maps due to sparsity of data and the limited spatial resolution of the system. We present here a novel method to estimate these fast electrical pathways from the local activati…

GeodesicHeart VentriclesAction PotentialsHealth InformaticsVentricular tachycardiaSensitivity and SpecificityVentricular Function LeftPurkinje FibersImage Interpretation Computer-AssistedmedicineHumansRadiology Nuclear Medicine and imagingImage resolutionFast marching methodSimulationMathematicsRadiological and Ultrasound Technologybusiness.industryBody Surface Potential MappingProcess (computing)Reproducibility of ResultsPattern recognitionImage Enhancementmedicine.diseaseComputer Graphics and Computer-Aided Designmedicine.anatomical_structureRadiology Nuclear Medicine and imagingVentricleSimulated dataFeasibility StudiesComputer Vision and Pattern RecognitionArtificial intelligencebusinessDistance transformAlgorithmsMedical Image Analysis
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Sensitivity of the C-band SRTM DEM Vertical Accuracy to Terrain Characteristics and Spatial Resolution

2008

This work reports the results of a careful regional analysis of the SRTM DEM (Shuttle Radar Topography Mission – Digital Elevation Model) vertical accuracy as a function of both topography and Land-Use/Land Cover (LULC). Absolute vertical errors appear LULC-dependent, with some values greater than the stated accuracy of the SRTM dataset, mostly over forested areas. The results show that the structure of the errors is well modeled by a cosine power n of the local incidence angle (θloc). SRTM quality is further assessed using slope and topographical similarity indexes. The results show a lower relative accuracy on slope with a R2 = 0.5 and a moderate agreement (Kappa ≈ 0.4) between SRTM- and …

GeographyResamplingInterferometric synthetic aperture radarElevationTerrainShuttle Radar Topography MissionLand coverDigital elevation modelImage resolutionRemote sensing
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Quantification of the microstructural evolution of polycrystalline fabrics using FAME: Application to in situ deformation of ice

2014

Abstract In geology, glaciology and material science new technological advances result in an ever increasing amount of data and datasets, in particular when in situ experiments are conducted. Rapid, rigorous and reliable statistical treatment is needed to allow researchers to access these large datasets for further analysis. Here, we present FAME (Fabric Analyser based Microstructure Evaluation), a suite of Matlab® scripts that utilize the Matlab® open-source toolboxes MTEX and PolyLX (optional) for rapid quantification of thin section data. The data has been collected using an automated Fabric Analyser at a spatial resolution of 5 μm/pixel. From the dataset, grain maps are reconstructed an…

GlaciologyOrientation tensorPixelOrientation (computer vision)AnalyserGeologyGrain boundaryDeformation (meteorology)Image resolutionGeologyRemote sensingJournal of Structural Geology
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Growing stock volume from multi-temporal landsat imagery through google earth engine

2019

Growing stock volume (GSV) is one of the most important variables for.forest management and is traditionally- estimated from ground measurements. These measurements are expensive and therefore sparse and hard to maintain in time on a regular basis. Remote sensing data combined with national forest inventories constitute a helpful tool to estimate and map forest attributes. However, most studies on GSV estimation from remote sensing data focus on small forest areas with a single or only a few species. The current study aims to map GSV in peninsular Spain, a rather large and very heterogeneous area. Around 50 000 wooded land plots from the Third Spanish National Forest Inventory (NFI3) were u…

Global and Planetary ChangeMean squared errorGrowing stock volumeForest managementManagement Monitoring Policy and LawReflectivityRandom forestSpainMulticollinearityEnvironmental scienceShort wave infraredComputers in Earth SciencesGuided regularized random forestsGoogle Earth EngineLandsatImage resolutionStock (geology)Earth-Surface ProcessesRemote sensingInternational Journal of Applied Earth Observation and Geoinformation
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Quantitative comparison of new image processing methods for volumetric analysis of left ventricular contrast echocardiograms

2003

An effort has been made to develop image processing methods which allow a definite and precise tracking of the borderline of the ventricle in two-dimensional echocardiograms. Experience is reported with two new methods, which are based on the gray-level rise (GL) and the signal-to-noise ratio (SNR) in combined heart-phase-triggered image series. A quantitative comparison of these time-series methods is presented with respect to the interpretation of a single native image (noncontrast image), a single contrast-material image, the corresponding subtraction image, and the corresponding color superposition image. The comparison is based on the calculation of the ejection fraction using the abov…

Image SeriesComputer sciencebusiness.industrymedia_common.quotation_subjectSubtractionImage processingSuperposition principleSignal-to-noise ratio (imaging)Computer Science::Computer Vision and Pattern RecognitionMedical imagingContrast (vision)Computer visionArtificial intelligencebusinessImage resolutionmedia_common[1989] Proceedings. Computers in Cardiology
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Multitemporal fusion of Landsat and MERIS images

2011

Monitoring Earth dynamics from current and future observation satellites is one of the most important objectives for the remote sensing community. In this regard, the exploitation of image time series from sensors with different characteristics provides an opportunity to increase the knowledge about environmental changes, which are needed in many operational applications, such as monitoring vegetation dynamics and land cover/use changes. Many studies in the literature have proven that high spatial resolution sensors like Landsat are very useful for monitoring land cover changes. However, the cloud cover probability of many areas and the 15-days temporal resolution restrict its use to monito…

Image SeriesImage fusionTemporal resolutionEnvironmental scienceLand coverImage sensorSensor fusionImage resolutionNormalized Difference Vegetation IndexRemote sensing
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Introduction to the Issue on Advances in Remote Sensing Image Processing

2011

The papers in this special issue span a wide range of problems arising in modern remote sensing data analysis and provide a snapshot in the state-of-the-art of remote sensing image processing. More advances are expected in the near future, mainly due to the increasing user demands in terms of spatial, spectral, and temporal resolutions of data, and of products generated from these data by automatic processing techniques.

Image fusion010504 meteorology & atmospheric sciencesRemote sensing applicationbusiness.industryComputer scienceReal-time computing0211 other engineering and technologiesRemote sensing image processingAutomatic processingImage processing02 engineering and technology01 natural sciences[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingSignal ProcessingDigital image processingSnapshot (computer storage)Computer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessImage resolution[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciences
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