Search results for "region of interest"

showing 10 items of 48 documents

Comparison of Elastic and Rigid Registration during Magnetic Resonance Imaging/Ultrasound Fusion-Guided Prostate Biopsy: A Multi-Operator Phantom Stu…

2018

The relative value of rigid or elastic registration during magnetic resonance imaging/ultrasound fusion guided prostate biopsy has been poorly studied. We compared registration errors (the distance between a region of interest and fiducial markers) between rigid and elastic registration during fusion guided prostate biopsy using a prostate phantom model.Four gold fiducial markers visible on magnetic resonance imaging and ultrasound were placed throughout 1 phantom prostate model. The phantom underwent magnetic resonance imaging and the fiducial markers were labeled as regions of interest. An experienced user and a novice user of fusion guided prostate biopsy targeted regions of interest and…

Image-Guided BiopsyMaleProstate biopsyUrology030232 urology & nephrologyImaging phantom03 medical and health sciencesImaging Three-Dimensional0302 clinical medicineFiducial MarkersRegion of interestProstatemedicineHumansUltrasonography Interventionalmedicine.diagnostic_testPhantoms Imagingbusiness.industryUltrasoundProstateProstatic NeoplasmsMagnetic resonance imagingequipment and suppliesmedicine.anatomical_structure030220 oncology & carcinogenesisElasticity Imaging TechniquesFeasibility StudiesbusinessImage-Guided BiopsyFiducial markerNuclear medicineAlgorithmsJournal of Urology
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Real-Time Temporal Superpixels for Unsupervised Remote Photoplethysmography

2018

International audience; Segmentation is a critical step for many computer vision applications. Among them, the remote photoplethys-mography technique is significantly impacted by the quality of region of interest segmentation. With the heart-rate estimation accuracy, the processing time is obviously a key issue for real-time monitoring. Recent face detection algorithms can perform real-time processing, however for unsupervised algorithms, i.e. without any subject detection based on supervised learning, existing methods are not able to achieve real-time on regular platform. In this paper, we propose a new method to perform real-time un-supervised remote photoplethysmograhy based on efficient…

Iterative methodComputer sciencebusiness.industry[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing0206 medical engineeringSupervised learning[INFO.INFO-IM] Computer Science [cs]/Medical Imaging[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognition02 engineering and technologyImage segmentationFrame rate020601 biomedical engineering[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingRegion of interest0202 electrical engineering electronic engineering information engineering[INFO.INFO-IM]Computer Science [cs]/Medical ImagingRGB color model020201 artificial intelligence & image processingSegmentationArtificial intelligenceFace detectionbusiness
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A smart and operator independent system to delineate tumours in Positron Emission Tomography scans

2018

Abstract Positron Emission Tomography (PET) imaging has an enormous potential to improve radiation therapy treatment planning offering complementary functional information with respect to other anatomical imaging approaches. The aim of this study is to develop an operator independent, reliable, and clinically feasible system for biological tumour volume delineation from PET images. Under this design hypothesis, we combine several known approaches in an original way to deploy a system with a high level of automation. The proposed system automatically identifies the optimal region of interest around the tumour and performs a slice-by-slice marching local active contour segmentation. It automa…

Lung NeoplasmsComputer sciencemedicine.medical_treatmentPET imagingPattern Recognition Automated030218 nuclear medicine & medical imaging0302 clinical medicineNeoplasmsImage Processing Computer-AssistedSegmentationDiagnosis Computer-AssistedNeoplasm MetastasisRadiation treatment planningSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniObserver VariationActive contour modelmedicine.diagnostic_testBrain NeoplasmsPhantoms ImagingComputer Science ApplicationsHead and Neck NeoplasmsPositron emission tomography030220 oncology & carcinogenesis18F-fluoro-2-deoxy-d-glucoseAlgorithms18F-fluoro-2-deoxy-d-glucose and 11C-labeled methionine PET imagingSimilarity (geometry)Health InformaticsSensitivity and SpecificityNOActive contour algorithm03 medical and health sciencesFluorodeoxyglucose F18Predictive Value of TestsRegion of interestmedicineHumansFalse Positive ReactionsRetrospective Studies18F-fluoro-2-deoxy-d-glucose 11C-labeled methionine PET imaging Active contour algorithm Biological target volume Cancer segmentationbusiness.industryRadiotherapy Planning Computer-Assisted11C-labeled methionineReproducibility of ResultsPattern recognitionGold standard (test)Cancer segmentationRadiation therapyBiological target volumePositron-Emission TomographyArtificial intelligenceTomography X-Ray ComputedbusinessSoftwareComputers in Biology and Medicine
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Increased cortical curvature reflects white matter atrophy in individual patients with early multiple sclerosis

2014

Objective White matter atrophy occurs independently of lesions in multiple sclerosis. In contrast to lesion detection, the quantitative assessment of white matter atrophy in individual patients has been regarded as a major challenge. We therefore tested the hypothesis that white matter atrophy (WMA) is present at the very beginning of multiple sclerosis (MS) and in virtually each individual patient. To find a new sensitive and robust marker for WMA we investigated the relationship between cortical surface area, white matter volume (WMV), and whole-brain-surface-averaged rectified cortical extrinsic curvature. Based on geometrical considerations we hypothesized that cortical curvature increa…

MalePathologyROI region of interestFOV field of viewlcsh:RC346-429ImagingGRAPPA generalized autocalibrating partially parallel acquisitionCortex (anatomy)Image Processing Computer-AssistedFA fractional anisotropyWMV white matter volumeTE echo timeCerebral Cortexmedicine.diagnostic_testEVAL Münster Neuroimaging Evaluation SystemMiddle AgedMagnetic Resonance ImagingWhite MatterTR repetition timemedicine.anatomical_structureNeurologyGMV gray matter volumeCerebral cortexCortexlcsh:R858-859.7FemaleAlzheimer's diseasePsychologyCIS clinically isolated syndromeMRITSE turbo spin-echoAdultmedicine.medical_specialtyAdolescentCognitive NeuroscienceCortical curvatureICV intracranial volumelcsh:Computer applications to medicine. Medical informaticsCurvatureArticleEDSS Expanded Disability Status ScaleMultiple sclerosisWhite matterYoung AdultAtrophyAlzheimer DiseasemedicineHumansRadiology Nuclear Medicine and imagingWM white matterlcsh:Neurology. Diseases of the nervous systemAgedMultiple sclerosis3D three-dimensionaleWMV estimated white matter volumeMagnetic resonance imagingmedicine.diseaseΔWMV WMV − eWMVCI confidence intervalCase-Control StudiesGM gray matterAnisotropyDTI diffusion tensor imagingNeurology (clinical)AtrophySD standard deviationDemyelinating DiseasesNeuroImage: Clinical
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Mathematical models for the diffusion magnetic resonance signal abnormality in patients with prion diseases

2014

In clinical practice signal hyperintensity in the cortex and/or in the striatum on magnetic resonance (MR) diffusion-weighted images (DWIs) is a marker of sporadic Creutzfeldt–Jakob Disease (sCJD). MR diagnostic accuracy is greater than 90%, but the biophysical mechanisms underpinning the signal abnormality are unknown. The aim of this prospective study is to combine an advanced DWI protocol with new mathematical models of the microstructural changes occurring in prion disease patients to investigate the cause of MR signal alterations. This underpins the later development of more sensitive and specific image-based biomarkers. DWI data with a wide a range of echo times and diffusion weightin…

MalePathologysCJD sporadic Creutzfeldt–Jakob diseaseROI region of interestPrion diseasePrPSc prion protein scrapieElectroencephalographyFOV field of viewlcsh:RC346-429Prion DiseasesADC apparent diffusion coefficientTI inversion timeRPE rapidly progressive encephalopathyAged 80 and overTE echo timeBrain Mappingmedicine.diagnostic_testBrainRegular ArticleMiddle AgedBIC Bayesian information criterionTR repetition timemedicine.anatomical_structureNeurologylcsh:R858-859.7FemaleMPRAGE magnetization-prepared rapid acquisition gradient-echoAbnormalitySS-SE single shot spin-echoAdultmedicine.medical_specialtyCognitive NeuroscienceCreutzfeldt–Jakob diseaseCNR contrast to noise ratioEPI echo-planar imagingNeuropathologyPrPC prion protein cellularGrey matterSpongiform degenerationlcsh:Computer applications to medicine. Medical informaticsEEG electroencephalogramDiffusion MRINeuroimagingImage Interpretation Computer-AssistedmedicineHumansRadiology Nuclear Medicine and imaginglcsh:Neurology. Diseases of the nervous systemAgedCJD Creutzfeldt–Jakob diseaseGSS Gerstmann–Sträussler–Scheinker syndromebusiness.industryDWI diffusion weighted imagingDiffusion MRI; Biophysical models; Creutzfeldt-Jakob disease; Prion disease; Spongiform degenerationMagnetic resonance imagingModels TheoreticalHyperintensityCreutzfeldt-Jakob diseaseDiffusion Magnetic Resonance ImagingNeurology (clinical)businessBiophysical modelsDiffusion MRINeuroImage: Clinical
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Reproducible coronary plaque quantification by multislice computed tomography

2007

BACKGROUND: The aim of this study was to investigate reproducibility and accuracy of computer-assisted coronary plaque measurements by multislice computed tomography coronary angiography (QMSCT-CA). METHODS AND RESULTS: Forty-eight patients undergoing MSCT-CA and coronary arteriography for symptomatic coronary artery disease and quantitative intravascular ultrasound (IVUS, QCU) were examined. Two investigators performed the QMSCT-CA twice and a third investigator performed the QCU, all blinded for each other's results. There was no difference found for the matched region of interest (ROI) lengths (QCU 29.4 +/- 13 mm vs. QMSCT-CA 29.6 +/- 13 mm, P = 0.6; total length = 1,400 mm). The compari…

Malemedicine.medical_specialtyLumen (anatomy)Coronary Angiographymultislice computed tomographyintravascular ultrasoundCoronary artery diseasePredictive Value of TestsRegion of interestCoronary plaqueImage Interpretation Computer-AssistedIntravascular ultrasoundmedicineHumansRadiology Nuclear Medicine and imagingUltrasonography InterventionalAgedObserver VariationReproducibilitymedicine.diagnostic_testbusiness.industryReproducibility of ResultsGeneral MedicineMultislice computed tomographyMiddle Agedmedicine.diseaseimage processingResearch DesignPredictive value of testsFemaleRadiologyTomography X-Ray ComputedSettore MED/36 - Diagnostica Per Immagini E RadioterapiaCardiology and Cardiovascular Medicinebusinesscoronary artery diseaseCatheterization and Cardiovascular Interventions
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CBCT location of the fusion between the buccal and lingual cortical in the mandibular ramus : importance to sagittal split osteotomy

2016

Background Mandibular Sagittal Split Osteotomy (MSSO) is a popular technique in orthognathic surgery used both to advance and to retreat the mandible. However, MSSO may incur in important complications, such as bad splits and sensorineural injuries. Knowing the location of the fusion between the buccal and lingual cortical (FBLC) in the mandibular ramus and the bone thickness in the region where osteotomies will be performed is determinant in MSSO planning to avoid complications. The aim of this study was to document and evaluate possible differences between sexes regarding the location of the FBLC in relation to the superior cortical of mandibular foramen (MF) and bone thickness in the reg…

Malemedicine.medical_treatmentOsteotomy Sagittal Split RamusOrthognathic surgeryDentistryMandibular canalSagittal split osteotomyMandibleMandibular second molarYoung Adult03 medical and health sciences0302 clinical medicineTonguestomatognathic systemRegion of interestHumansMedicineGeneral DentistryMouthSex Characteristicsbusiness.industryResearchMandibular foramen030206 dentistryBuccal administrationTOMOGRAFIA COMPUTADORIZADA POR RAIOS XCone-Beam Computed Tomography:CIENCIAS MÉDICAS [UNESCO]stomatognathic diseasesmedicine.anatomical_structureOtorhinolaryngology030220 oncology & carcinogenesisUNESCO::CIENCIAS MÉDICASFemaleSurgeryOral SurgerybusinessBrazilMandibular ramus
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IRA-EMO : Interactive Method Using Reservation and Aspiration Levels for Evolutionary Multiobjective Optimization

2019

We propose a new interactive evolutionary multiobjective optimization method, IRA-EMO. At each iteration, the decision maker (DM) expresses her/his preferences as an interesting interval for objective function values. The DM also specifies the number of representative Pareto optimal solutions in these intervals referred to as regions of interest one wants to study. Finally, a real-life engineering three-objective optimization problem is used to demonstrate how IRA-EMO works in practice for finding the most preferred solution. peerReviewed

Mathematical optimization021103 operations researchOptimization problemComputer sciencemieltymykset0211 other engineering and technologiesReservation02 engineering and technologyInterval (mathematics)interactive methodsMulti-objective optimizationmonitavoiteoptimointievolutionary multi-objective optimization0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingregion of interestreference point
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Age and gender variations in the cone-beam computed tomographic location of mandibular canal: Implications for mandibular sagittal split osteotomy

2019

Background Mandibular sagittal split osteotomy (MSSO) may incur unfavorable split and sensorineural injuries. Knowledge of the anatomic location of the mandibular canal (MC) and bone thickness in the region of interest for MSSO, and the possible variations by age and gender can assist in avoiding such complications. Purpose: To study the location of the MC and bone thickness in the region of MSSO by cone-beam computed tomography (CBCT) radiographs and to evaluate the possible variations by age and gender in a Jordanian population. Material and Methods This retrospective radio-anatomical study examined all CBCT radiographs for patients treated over three years at the University of Jordan Hos…

MolarAdultMaleCone beam computed tomographyAdolescentmedicine.medical_treatmentRadiographyMandibular canalMandibleOsteotomyMandibular second molar03 medical and health sciencesYoung Adult0302 clinical medicinestomatognathic systemRegion of interestmedicineHumansGeneral DentistryAgedRetrospective StudiesOrthodonticsAged 80 and overbusiness.industryResearchMandibular foramen030206 dentistryCone-Beam Computed TomographyMiddle Aged:CIENCIAS MÉDICAS [UNESCO]MolarOsteotomymedicine.anatomical_structureOtorhinolaryngologyUNESCO::CIENCIAS MÉDICASSurgeryFemaleOral SurgerybusinessMedicina Oral, Patología Oral y Cirugía Bucal
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2015

We present a method to discover discriminative brain metabolism patterns in [18F] fluorodeoxyglucose positron emission tomography (PET) scans, facilitating the clinical diagnosis of Alzheimer's disease. In the work, the term "pattern" stands for a certain brain region that characterizes a target group of patients and can be used for a classification as well as interpretation purposes. Thus, it can be understood as a so-called "region of interest (ROI)". In the literature, an ROI is often found by a given brain atlas that defines a number of brain regions, which corresponds to an anatomical approach. The present work introduces a semi-data-driven approach that is based on learning the charac…

Multidisciplinarymedicine.diagnostic_testbusiness.industryComputer scienceModel selectionBrain atlasMagnetic resonance imagingPattern recognitionMixture modelmedicine.diseasecomputer.software_genreBrain regionNeuroimagingDiscriminative modelPositron emission tomographyVoxelRegion of interestmedicineArtificial intelligenceAlzheimer's diseaseNuclear medicinebusinesscomputerAlzheimer's Disease Neuroimaging InitiativePLOS ONE
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