Search results for "vox"

showing 10 items of 126 documents

Approximation of Pore Space with Ellipsoids: A Comparison of a Geometrical Method with a Statistical one

2018

We work with tomographic images of pore space in soil. The images have large dimensions and so in order to speed-up biological simulations (as drainage or diffusion process in soil), we want to describe the pore space with a number of geometrical primitives significantly smaller than the number of voxels in pore space. In this paper, we use the curve skeleton of a volume to segment it into some regions. We describe the method to compute the curve skeleton and to segment it with a simple segment approximation. We approximate each obtained region with an ellipsoid. The set of final ellipsoids represents the geometry of pore space and will be used in future simulations. We compare this method …

EllipsoidsGeometry02 engineering and technologyImage segmentation010502 geochemistry & geophysicscomputer.software_genreCurve skeleton01 natural sciencesEllipsoidPhysics::GeophysicsSet (abstract data type)SegmentationDiffusion processVoxelSimple (abstract algebra)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSegmentationCluster analysisPore space approximationcomputer0105 earth and related environmental sciencesMathematics2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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Diffusion map for clustering fMRI spatial maps extracted by Indipendent Component Analysis

2013

Functional magnetic resonance imaging (fMRI) produces data about activity inside the brain, from which spatial maps can be extracted by independent component analysis (ICA). In datasets, there are n spatial maps that contain p voxels. The number of voxels is very high compared to the number of analyzed spatial maps. Clustering of the spatial maps is usually based on correlation matrices. This usually works well, although such a similarity matrix inherently can explain only a certain amount of the total variance contained in the high-dimensional data where n is relatively small but p is large. For high-dimensional space, it is reasonable to perform dimensionality reduction before clustering.…

FOS: Computer and information sciencesDiffusion (acoustics)Computer sciencediffusion mapMachine Learning (stat.ML)02 engineering and technologycomputer.software_genreMachine Learning (cs.LG)Computational Engineering Finance and Science (cs.CE)Correlation03 medical and health sciencesTotal variation0302 clinical medicineStatistics - Machine LearningVoxel0202 electrical engineering electronic engineering information engineeringComputer Science - Computational Engineering Finance and ScienceCluster analysisdimensionality reductionta113spatial mapsbusiness.industryDimensionality reductionfunctional magnetic resonance imaging (fMRI)Pattern recognitionIndependent component analysisSpectral clusteringComputer Science - Learningindependent component analysista6131020201 artificial intelligence & image processingArtificial intelligenceDYNAMICAL-SYSTEMSbusinesscomputer030217 neurology & neurosurgeryclustering
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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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Unsupervised tissue classification of brain MR images for voxel-based morphometry analysis

2016

In this article, a fully unsupervised method for brain tissue segmentation of T1-weighted MRI 3D volumes is proposed. The method uses the Fuzzy C-Means (FCM) clustering algorithm and a Fully Connected Cascade Neural Network (FCCNN) classifier. Traditional manual segmentation methods require neuro-radiological expertise and significant time while semiautomatic methods depend on parameter's setup and trial-and-error methodologies that may lead to high intraoperator/interoperator variability. The proposed method selects the most useful MRI data according to FCM fuzziness values and trains the FCCNN to learn to classify brain’ tissues into White Matter, Gray Matter, and Cerebro-Spinal Fluid in …

Fuzzy clusteringComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONcomputer.software_genreFuzzy logicImaging phantom030218 nuclear medicine & medical imaging03 medical and health sciencesbrain images segmentation0302 clinical medicinevoxel-based morphometryBrain segmentationSegmentationElectrical and Electronic EngineeringCluster analysisSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniArtificial neural networkbusiness.industryUsabilityneural networksElectronic Optical and Magnetic MaterialsComputingMethodologies_PATTERNRECOGNITIONfuzzy clusteringunsupervised tissues classificationComputer Vision and Pattern RecognitionData miningbusinesscomputer030217 neurology & neurosurgerySoftwareInternational Journal of Imaging Systems and Technology
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Low-cost approximate reconstructing of heterogeneous microstructures

2016

We propose an approximate reconstruction of random heterogeneous microstructures using the two-exponent power-law (TEPL). This rule originates from the entropic descriptor (ED) that is a multi-scale measure of spatial inhomogeneity for a given microstructure. A digitized target sample is a cube of linear size L in voxels. Then, a number of trial configurations can be generated by a model of overlapping spheres of a fixed radius, which are randomly distributed on a regular lattice. The TEPL describes the averaged maximum of the ED as a function of the phase concentration and the radius. Thus, it can be used to determine the radius. The suggested approach is tested on surrogate samples of cer…

General Computer SciencePhase (waves)FOS: Physical sciencesGeneral Physics and Astronomyentropic descriptor02 engineering and technologycomputer.software_genre01 natural sciencesMeasure (mathematics)heterogeneous microstructuresVoxel0103 physical sciencesGeneral Materials Science010306 general physicsCondensed Matter - Statistical MechanicsMathematicsStatistical Mechanics (cond-mat.stat-mech)3D microstructure reconstructiontwo-exponent power-lawGeneral ChemistryRadiusFunction (mathematics)021001 nanoscience & nanotechnologyMicrostructureSample (graphics)Computational MathematicsMechanics of MaterialsSPHERES0210 nano-technologycomputerAlgorithm
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A generic TG-186 shielded applicator for commissioning model-based dose calculation algorithms for high-dose-rate Ir-192 brachytherapy

2017

PurposeA joint working group was created by the American Association of Physicists in Medicine (AAPM), the European Society for Radiotherapy and Oncology (ESTRO), and the Australasian Brachytherapy Group (ABG) with the charge, among others, to develop a set of well-defined test case plans and perform calculations and comparisons with model-based dose calculation algorithms (MBDCAs). Its main goal is to facilitate a smooth transition from the AAPM Task Group No. 43 (TG-43) dose calculation formalism, widely being used in clinical practice for brachytherapy, to the one proposed by Task Group No. 186 (TG-186) for MBDCAs. To do so, in this work a hypothetical, generic high-dose rate (HDR) Ir-19…

HDR brachytherapymedicine.medical_specialtyComputer sciencemedicine.medical_treatmentBrachytherapyEQUATION SOLVERIr-192computer.software_genreGEC-ESTROImaging phantom030218 nuclear medicine & medical imaginglaw.invention03 medical and health sciences0302 clinical medicineMONTE-CARLOlawVoxelGEOMETRIESShielded cableAAPMmedicineMedical physicsRadiation treatment planningGEANT4business.industryMonte Carlo methodsGeneral MedicineDOSIMETRIC ACCURACYTRANSPORTmodel based dose calculation3. Good healthRadiation therapyTG-186030220 oncology & carcinogenesisAbsorbed doseSIMULATIONshielded applicatorTG-43 FORMALISMNuclear medicinebusinessDose rateAlgorithmcomputer
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Three-dimensional image analytical detection of intussusceptive pillars in murine lung

2015

A variety of diseases can lead to loss of lung tissue. Currently, this can be treated only symptomatically. In mice, a complete compensatory lung growth within 21 days after resection of the left lung can be observed. Understanding and transferring this concept of compensatory lung growth to humans would greatly improve therapeutic options. Lung growth is always accompanied by a process called angiogenesis forming new capillary blood vessels from preexisting ones. Among the processes during lung growth, the formation of transluminal tissue pillars within the capillary vessels (intussusceptive pillars) is observed. Therefore, pillars can be understood as an indicator for active angiogenesis …

HistologyComputer scienceAnatomyMathematical morphologyPathology and Forensic MedicineResectionMurine lungCapillary vesselssense organsTomographyLung tissueProcess (anatomy)Voxel sizeBiomedical engineeringJournal of Microscopy
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Quadrature coils for magnetic resonance spectroscopy in the detection of prostate cancer: Single voxel acquisition does not improve the diagnostic ac…

2011

Abstract Objective To determine the viability of quadrature coils for detecting prostate cancer using single voxel and multivoxel spectroscopy images. Material and methods We used a quadrature coil on a 1.5T MR scanner to evaluate 23 patients with suspected prostate cancer and prostate specific antigen levels greater than 4 ng/ml (mean 12 ± 8 ng/ml), independently of findings at digital rectal examination. We acquired T2-weighted images and MR spectroscopy images. We also acquired single voxel studies in areas in which the T2-weighted images or the multivoxel images were altered. We used a citrate solution to verify the spectroscopic calibration. Results Using spectroscopy images and a (Cho…

In vivo magnetic resonance spectroscopyMaterials sciencebusiness.industrySingle voxelDiagnostic accuracyNuclear magnetic resonance spectroscopymedicine.diseaseProstate cancerProstate-specific antigenNuclear magnetic resonancemedicineGeneral Earth and Planetary SciencesCutoffSpectroscopyNuclear medicinebusinessGeneral Environmental ScienceRadiología (English Edition)
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Grey matter reduction in the occipitotemporal cortex in Spanish children with dyslexia: A voxel-based morphometry study

2020

Abstract Structural and functional neuroimaging studies have reported brain alterations in occipitotemporal, temporoparietal, and left frontal areas in dyslexic patients. These areas have been linked to reading skill impairments, due to their involvement in word recognition and processing. However, most of the patients in these studies were speakers of languages with a deep orthography. In this study, we used voxel-based morphometry (VBM) to investigate brain differences in grey matter volume associated with a transparent language in a sample of 25 native Spanish participants (13 dyslexic and 12 non-dyslexic children). Results revealed a volume reduction in the left occipitotemporal cortex …

Linguistics and Languagemedicine.medical_specialtyCognitive Neurosciencemedia_common.quotation_subjectoccipitotemporal cortexExperimental and Cognitive PsychologyAudiologyGrey mattercomputer.software_genre050105 experimental psychology03 medical and health sciences0302 clinical medicineArts and Humanities (miscellaneous)Functional neuroimagingVoxelReading (process)medicinevoxel-based morphometry0501 psychology and cognitive sciencesmedia_common05 social sciencesDyslexiaVoxel-based morphometrymedicine.diseasedevelopmental dyslexiamedicine.anatomical_structureWord recognitionPsychologycomputer030217 neurology & neurosurgeryOrthographyshallow orthographyJournal of Neurolinguistics
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STUDIO DI SEGMENTAZIONE MORFOVOLUMETRICA IN PAZIENTI CON DECLINO COGNITIVO LIEVE, MALATTIA DI ALZHEIMER E MALATTIA DI PARKINSON

Magnetic Resonance Imaging (MRI) voxel-based morphometry (VBM) Alzheimer Disease (AD) Parkinson Disease (PD) Mild Cognitive Impairment (MCI)Settore MED/37 - Neuroradiologiarisonanza magnetica (MRI) segmentazione morfovolumetrica (VBM) malattia di Alzheimer (AD) malattia di Parkinson PD) declino cognitivo lieve (MCI)Settore MED/36 - Diagnostica Per Immagini E Radioterapia
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