Search results for "Medical physics"

showing 9 items of 579 documents

A study of Type B uncertainties associated with the photoelectric effect in low-energy Monte Carlo simulations

2021

The goal of this manuscript is to estimate Type B uncertainties in absorbed-dose calculations arising from the different implementations in current state-of-the-art Monte Carlo codes of low-energy photon cross-sections (<200 keV). Monte Carlo simulations are carried out using three codes widely used in the low-energy domain: PENELOPE-2018, EGSnrc, and MCNP. Mass energy-absorption coefficients for water, air, graphite, and their respective ratios; absorbed dose; and photon-fluence spectra are considered. Benchmark simulations using similar cross-sections have been performed. The differences observed between these quantities when different cross-sections are considered are taken to be a go…

photoelectric effectPhotonbrachytherapyMonte Carlo methodFOS: Physical sciencesSpectral lineMonte Carlo simulations030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineDosimetryRadiology Nuclear Medicine and imagingRadiometryPhysicsPhotonsRadiological and Ultrasound TechnologyPhantoms ImagingUncertaintyEstimatorRadiusPhotoelectric effectPhysics - Medical Physics3. Good healthComputational physics030220 oncology & carcinogenesisAbsorbed doseMedical Physics (physics.med-ph)low energy physicsMonte Carlo Method
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Editorial: Scale Development and Score Validation

2020

psychometricsmedicine.medical_specialtyquantitative measurementreliabilityScale (ratio)Psychometricsquestionnairelcsh:BF1-990Scale developmentscalelcsh:Psychologypsychological testingmedicineMedical physicsPsychological testingPsychologyGeneral PsychologyFrontiers in Psychology
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Radiolabeling of Nanoparticles and Polymers for PET Imaging

2014

Nanomedicine has become an emerging field in imaging and therapy of malignancies. Nanodimensional drug delivery systems have already been used in the clinic, as carriers for sensitive chemotherapeutics or highly toxic substances. In addition, those nanodimensional structures are further able to carry and deliver radionuclides. In the development process, non-invasive imaging by means of positron emission tomography (PET) represents an ideal tool for investigations of pharmacological profiles and to find the optimal nanodimensional architecture of the aimed-at drug delivery system. Furthermore, in a personalized therapy approach, molecular imaging modalities are essential for patient screeni…

radiolabelingmedicine.medical_specialtyPharmaceutical ScienceNanoparticlelcsh:Medicinelcsh:RS1-441NanotechnologyReviewlcsh:Pharmacy and materia medicaDrug DiscoverymedicineMedical physicsPersonalized therapypolymersmedicine.diagnostic_testbusiness.industrylcsh:RPositron emittersimagingPet imagingnanomedicinepositron emitterPETPositron emission tomographyDrug deliverydrug deliveryMolecular MedicineNanomedicinenanoparticlesMolecular imagingbusinessPharmaceuticals
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Topological canal foliations

2019

Regular canal surfaces of $\mathbb{R}^3$ or $\mathbb{S}^3$ admit foliations by circles: the characteristic circles of the envelope. In order to build a foliation of $\mathbb{S}^3$ with leaves being canal surfaces, one has to relax the condition “canal” a little (“weak canal condition”) in order to accept isolated umbilics. Here, we define a topological condition which generalizes this “weak canal” condition imposed on leaves, and classify the foliations of compact orientable 3-manifolds we can obtain this way.

rational parametrizationsQuantitative Biology::Tissues and OrgansGeneral MathematicsPhysics::Medical PhysicssurfacesTopology01 natural sciencesQuantitative Biology::Cell Behavior0103 physical sciencesotorhinolaryngologic diseases57R30[MATH]Mathematics [math]0101 mathematicsMathematicsEnvelope (waves)griddlingQuantitative Biology::Molecular Networks010102 general mathematicsOrder (ring theory)53C12foliationFoliation (geology)sense organsMathematics::Differential Geometry010307 mathematical physicscanal surfaceJournal of the Mathematical Society of Japan
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Structured reporting of rectal cancer staging and restaging: A consensus proposal

2021

Background: Structured reporting (SR) in oncologic imaging is becoming necessary and has recently been recognized by major scientific societies. The aim of this study was to build MRI-based structured reports for rectal cancer (RC) staging and restaging in order to provide clinicians all critical tumor information. Materials and Methods: A panel of radiologist experts in abdominal imaging, called the members of the Italian Society of Medical and Interventional Radiology, was established. The modified Delphi process was used to build the SR and to assess the level of agreement in all sections. The Cronbach’s alpha (Cα) correlation coefficient was used to assess the internal consistency of ea…

re-stagingCancer Researchmedicine.medical_specialtyStagingColorectal cancerIntraclass correlationModified delphiArticle030218 nuclear medicine & medical imaging03 medical and health sciencesRe‐staging0302 clinical medicineMagnetic resonance imagingmagnetic resonance imaging; rectal cancer; re‐staging; staging; structured reportingCronbach's alphaStructured reportingInternal consistencymedicineMedical physicsRectal cancerRC254-282Final versionmedicine.diagnostic_testbusiness.industryNeoplasms. Tumors. Oncology. Including cancer and carcinogensInterventional radiologymedicine.diseaseOncology030220 oncology & carcinogenesisbusinessStructured reporting
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Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion

2020

In this study, we compare six different machine learning methods in the inversion of a stochastic model for light propagation in layered media, and use the inverse models to estimate four parameters of the skin from the simulated data: melanin concentration, hemoglobin volume fraction, and thicknesses of epidermis and dermis. The aim of this study is to determine the best methods for stochastic model inversion in order to improve current methods in skin related cancer diagnostics and in the future develop a non-invasive way to measure the physical parameters of the skin based partially on the results of the study. Of the compared methods, which are convolutional neural network, multi-layer …

skinlcsh:TspektrikuvausPhysics::Medical Physicsconvolutional neural networkneuroverkotdiagnostiikkaneural networkslcsh:Technologylcsh:QC1-999model inversionihosyöpälcsh:Chemistrykoneoppiminenkuvantaminenmachine learninglcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040lcsh:Engineering (General). Civil engineering (General)physical parameter retrievallcsh:QH301-705.5lcsh:PhysicsApplied Sciences
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Measuring the Task Induced Oscillatory Brain Activity Using Tensor Decomposition

2019

The characterization of dynamic electrophysiological brain activity, which form and dissolve in order to support ongoing cognitive function, is one of the most important goals in neuroscience. Here, we introduce a method with tensor decomposition for measuring the task-induced oscillations in the human brain using electroencephalography (EEG). The time frequency representation of source-reconstructed singletrail EEG data constructed a third-order tensor with three factors of time ∗ trails, frequency and source points. We then used a non-negative Canonical Polyadic decomposition (NCPD) to identify the temporal, spectral and spatial changes in electrophysiological brain activity. We validate …

source localizationoscillatorsBrain activity and meditationComputer scienceneural oscillationsPhysics::Medical Physics02 engineering and technologyElectroencephalographyTask (project management)03 medical and health sciencestensor decomposition0302 clinical medicineTensor (intrinsic definition)0202 electrical engineering electronic engineering information engineeringmedicineEEGTensorta515ta113Quantitative Biology::Neurons and Cognitionmedicine.diagnostic_testbusiness.industrybrain modelingPattern recognitionHuman brainoskillaattoritdata modelsElectrophysiologymedicine.anatomical_structuretask analysis020201 artificial intelligence & image processingArtificial intelligencebusinesstietomallitelectroencephalography030217 neurology & neurosurgeryICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Assessing Transfer Entropy in cardiovascular and respiratory time series: A VARFI approach

2021

In the study of complex biomedical systems represented by multivariate stochastic processes, such as the cardiovascular and respiratory systems, an issue of great relevance is the description of the system dynamics spanning multiple temporal scales. Recently, the quantification of multiscale complexity based on linear parametric models, incorporating autoregressive coefficients and fractional integration, encompassing short term dynamics and long-range correlations, was extended to multivariate time series. Within this Vector AutoRegressive Fractionally Integrated (VARFI) framework formalized for Gaussian processes, in this work we propose to estimate the Transfer Entropy, or equivalently G…

symbols.namesakeAutoregressive modelDynamical systems theoryGranger causalityComputer scienceStochastic processPhysics::Medical PhysicsParametric modelsymbolsTransfer entropyStatistical physicsGaussian processSystem dynamicsProceedings of Entropy 2021: The Scientific Tool of the 21st Century
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CERN IRRADIATION FACILITIES.

2017

CERN provides unique irradiation facilities for applications in dosimetry, metrology, intercomparison of radiation protection devices, benchmark of Monte Carlo codes and radiation damage studies to electronics.

säteilytysPhysics::Instrumentation and DetectorsComputer scienceNuclear engineeringPhysics::Medical PhysicsMonte Carlo methodRadiation Dosage01 natural sciences030218 nuclear medicine & medical imagingradiation physics03 medical and health sciences0302 clinical medicineRadiation ProtectionRadiation Monitoring0103 physical sciencesRadiation damageDosimetryHumansRadiology Nuclear Medicine and imagingComputer SimulationIrradiationNeutronsRadiationLarge Hadron Colliderta114irradiationRadiological and Ultrasound Technology010308 nuclear & particles physicsbusiness.industryPublic Health Environmental and Occupational HealthGeneral MedicineMetrologysäteilyfysiikkaBenchmark (computing)Physics::Accelerator PhysicsRadiation protectionbusinessMonte Carlo MethodRadiation protection dosimetry
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