Search results for "Quantitative Biology - Tissues and Organs"

showing 5 items of 5 documents

Simple Muscle Architecture Analysis (SMA): An ImageJ macro tool to automate measurements in B-mode ultrasound scans

2020

In vivo measurements of muscle architecture (i.e. the spatial arrangement of muscle fascicles) are routinely included in research and clinical settings to monitor muscle structure, function and plasticity. However, in most cases such measurements are performed manually, and more reliable and time-efficient automated methods are either lacking completely, or are inaccessible to those without expertise in image analysis. In this work, we propose an ImageJ script to automate the entire analysis process of muscle architecture in ultrasound images: Simple Muscle Architecture Analysis (SMA). Images are filtered in the spatial and frequency domains with built-in commands and external plugins to hi…

0301 basic medicineMuscle PhysiologyMuscle FunctionsPhysiologyComputer sciencelihaksetDiagnostic RadiologyComputer ArchitectureWorkflowtukikudoksetultrasound imaging0302 clinical medicineSoftwareUltrasound ImagingMedicine and Health SciencesImage Processing Computer-AssistedComputer visionMacroTissues and Organs (q-bio.TO)Musculoskeletal Systemconnective tissueUltrasonographyMultidisciplinaryOrientation (computer vision)Radiology and ImagingMusclesQImage and Video Processing (eess.IV)Gastrocnemius MusclesUltrasoundRultraääniMuscle AnalysisFascicleSMA*Bioassays and Physiological Analysismedicine.anatomical_structureConnective TissueMedicinemuscle analysisAnatomyResearch ArticleComputer and Information SciencesImaging TechniquesScienceFOS: Physical sciencesConnective tissueImage processingmuscle functionsImage Analysisgastrocnemius musclesResearch and Analysis Methods03 medical and health sciencesimage analysisDiagnostic MedicineImage Interpretation Computer-AssistedFOS: Electrical engineering electronic engineering information engineeringmedicineHumanskaksoiskantalihascomputer architectureRM695_Physicalbusiness.industryBiology and Life SciencesQuantitative Biology - Tissues and Organs030229 sport sciencesElectrical Engineering and Systems Science - Image and Video ProcessingPhysics - Medical PhysicsQPimaging techniquesBiological Tissue030104 developmental biologykuva-analyysiFOS: Biological sciencesMedical Physics (physics.med-ph)Artificial intelligenceMuscle architecturebusinessSoftware
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Bone Fusion in Normal and Pathological Development is Constrained by the Network Architecture of the Human Skull

2016

The premature fusion of cranial bones, craniosynostosis, affects the correct development of the skull producing morphological malformations in newborns. To assess the susceptibility of each craniofacial articulation to close prematurely, we used a network model of the skull to quantify the link reliability (an index based on stochastic block modeling and Bayesian inference) of each articulation. We show that, of the 93 human skull articulations at birth, the few articulations that are associated with nonsyndromic craniosynostosis conditions have statistically significant lower reliability scores than the others. In a similar way, articulations that close during the normal postnatal developm…

Craniometria0301 basic medicineSciencemedicine.medical_treatmentBiologyCraniosynostosesQuantitative Biology - Quantitative MethodsBone and BonesArticleCraniosynostosisXarxes (Matemàtica)Craniosynostoses03 medical and health sciencesHuman skullChemical engineeringCraniosynostosismedicineHumansCraniofacialTissues and Organs (q-bio.TO)PathologicalQuantitative Methods (q-bio.QM)Bone DevelopmentMultidisciplinarySkullQInfant NewbornRIngeniería químicaBayes TheoremQuantitative Biology - Tissues and OrgansAnatomymedicine.diseaseSkullSpinal Fusion030104 developmental biologymedicine.anatomical_structureFOS: Biological sciencesSpinal fusion2045-2322Crani--Malformacions--TractamentMedicineNeural Networks ComputerArticulation (phonetics)Enginyeria químicaAlgorithmsScientific Reports
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Fast PET Scan Tumor Segmentation Using Superpixels, Principal Component Analysis and K-Means Clustering

2018

Positron Emission Tomography scan images are extensively used in radiotherapy planning, clinical diagnosis, assessment of growth and treatment of a tumor. These all rely on fidelity and speed of detection and delineation algorithm. Despite intensive research, segmentation remained a challenging problem due to the diverse image content, resolution, shape, and noise. This paper presents a fast positron emission tomography tumor segmentation method in which superpixels are extracted first from the input image. Principal component analysis is then applied on the superpixels and also on their average. Distance vector of each superpixel from the average is computed in principal components coordin…

FOS: Computer and information sciencespositron emission tomographyprincipal component analysisComputer scienceComputer Vision and Pattern Recognition (cs.CV)k-meansCoordinate systemComputer Science - Computer Vision and Pattern RecognitionFOS: Physical sciences02 engineering and technologyBenchmarkQuantitative Biology - Quantitative MethodsBiochemistry Genetics and Molecular Biology (miscellaneous)030218 nuclear medicine & medical imagingsuperpixels03 medical and health sciences0302 clinical medicineStructural Biology0202 electrical engineering electronic engineering information engineeringmedicineSegmentationComputer visionTissues and Organs (q-bio.TO)Cluster analysisQuantitative Methods (q-bio.QM)Pixelmedicine.diagnostic_testbusiness.industrysegmentationk-means clusteringQuantitative Biology - Tissues and OrgansPattern recognitionPhysics - Medical PhysicsPositron emission tomographyFOS: Biological sciencesPhysics - Data Analysis Statistics and ProbabilityPrincipal component analysis020201 artificial intelligence & image processingMedical Physics (physics.med-ph)Artificial intelligenceNoise (video)businessData Analysis Statistics and Probability (physics.data-an)BiotechnologyMethods and Protocols
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Cardiac kinematic parameters computed from video of in situ beating heart

2017

AbstractMechanical function of the heart during open-chest cardiac surgery is exclusively monitored by echocardiographic techniques. However, little is known about local kinematics, particularly for the reperfused regions after ischemic events. We report a novel imaging modality, which extracts local and global kinematic parameters from videos of in situ beating hearts, displaying live video cardiograms of the contraction events. A custom algorithm tracked the movement of a video marker positioned ad hoc onto a selected area and analyzed, during the entire recording, the contraction trajectory, displacement, velocity, acceleration, kinetic energy and force. Moreover, global epicardial veloc…

Malemedicine.medical_specialtyBeating heartSystoleVideo RecordingCardiac kinematic parametersFOS: Physical sciencesMyocardial ReperfusionKinematics030204 cardiovascular system & hematologyQuantitative Biology - Quantitative MethodsArticleDisplacement (vector)03 medical and health sciencesAcceleration0302 clinical medicineDiastoleInternal medicinemedicineAnimalsHumansComputer Simulation030212 general & internal medicineCoronary Artery BypassAtrioventricular BlockTissues and Organs (q-bio.TO)Quantitative Methods (q-bio.QM)PhysicsLive videoMultidisciplinaryopen-chest cardiac surgeryReproducibility of ResultsQuantitative Biology - Tissues and OrgansHeartPhysics - Medical Physicscontact-free and non-invasive modeMyocardial ContractionBiomechanical PhenomenaRatsCardiac surgeryCardiac kinematic parameters open-chest cardiac surgery contact-free and non-invasive modemedicine.anatomical_structureParticle image velocimetryFOS: Biological sciencesCardiologyFemaleMedical Physics (physics.med-ph)RheologyArteryScientific Reports
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Gyrification from constrained cortical expansion

2014

The exterior of the mammalian brain - the cerebral cortex - has a conserved layered structure whose thickness varies little across species. However, selection pressures over evolutionary time scales have led to cortices that have a large surface area to volume ratio in some organisms, with the result that the brain is strongly convoluted into sulci and gyri. Here we show that the gyrification can arise as a nonlinear consequence of a simple mechanical instability driven by tangential expansion of the gray matter constrained by the white matter. A physical mimic of the process using a layered swelling gel captures the essence of the mechanism, and numerical simulations of the brain treated a…

Models AnatomicCompressive StrengthModels NeurologicalLissencephalyFOS: Physical sciencesGeometryPattern Formation and Solitons (nlin.PS)Condensed Matter - Soft Condensed MatterNerve Fibers MyelinatedWhite matterNeural PathwaysPolymicrogyriamedicineHumansDimethylpolysiloxanesPhysics - Biological PhysicsTissues and Organs (q-bio.TO)GyrificationCell ProliferationPhysicsCerebral CortexNeuronsMultidisciplinaryta114PachygyriaQuantitative Biology - Tissues and OrgansAnatomymedicine.diseaseNonlinear Sciences - Pattern Formation and SolitonsElasticitymedicine.anatomical_structureCerebral cortexBiological Physics (physics.bio-ph)FOS: Biological sciencesBrain sizePhysical SciencesSoft Condensed Matter (cond-mat.soft)Stress MechanicalBrain morphogenesisGels
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