Search results for " MRI."

showing 10 items of 211 documents

Eine Kombination niedrig und hochauflösender dynamischer T1-gewichteter Sequenzen zur besseren Beurteilung der Morphologie Kontrastmittel aufnehmende…

2002

Purpose: Presentation of a new protocol for simultaneous acquisition of both low and high resolution T 1 -weighted images of breast lesions for dynamic contrast-enhanced MR mammography. Demonstration of possible diagnostic improvement with representative measurements in patients with suspected breast cancer by adding morphologic parameters from high resolution sequences to the analysis of the signal-time curve. Materials and Methods: Dynamic MR imaging was performed with a 1.5 T system (Magnetom SONATA, Siemens Medical Systems, Germany) and the manufacturer's double-breast coil. Coronal T 1 -weighted 3D FLASH sequences (spatial resolution 1.25 ×1.25 mm 2 ; slice thickness 1.7 mm) were acqui…

Contrast mediumNuclear magnetic resonanceMaterials sciencePulse (signal processing)Dynamic contrast-enhanced MRIResolution (electron density)Radiology Nuclear Medicine and imagingSensitivity (control systems)Image resolutionSignalImaging phantomBiomedical engineeringRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
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Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images

2017

International audience; In this paper, we present a fast and interactive graph cut method for 3D segmentation of the endocardial wall of the left ventricle (LV) adapted to work on two of the most widely used modalities: magnetic resonance imaging (MRI) and echocardiography. Our method accounts for the fundamentally different nature of both modalities: 3D echocardiographic images have a low contrast, a poor signal-to-noise ratio and frequent signal drop, while MR images are more detailed but also cluttered and contain highly anisotropic voxels. The main characteristic of our method is to work in a 3D Bezier coordinate system instead of the original Euclidean space. This comes with several ad…

Convex hullHeart VentriclesEnergy MinimizationCoordinate systemEchocardiography Three-DimensionalHealth InformaticsBézier curve02 engineering and technology[SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicinecomputer.software_genreAutomated Segmentation030218 nuclear medicine & medical imaging[ SDV.IB.MN ] Life Sciences [q-bio]/Bioengineering/Nuclear medicine03 medical and health sciences0302 clinical medicineVoxelCut0202 electrical engineering electronic engineering information engineering[INFO.INFO-IM]Computer Science [cs]/Medical ImagingMagnetic-Resonance ImagesHumansRadiology Nuclear Medicine and imagingComputer vision[ SDV.IB ] Life Sciences [q-bio]/BioengineeringCardiac MriImage gradientMathematicsWhole MyocardiumLeft ventricular 3-D segmentationRadiological and Ultrasound Technology[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingEuclidean spacebusiness.industryComputer Graphics and Computer-Aided DesignMagnetic Resonance ImagingEchocardiographyConstrained Level-SetGraph (abstract data type)020201 artificial intelligence & image processing[SDV.IB]Life Sciences [q-bio]/BioengineeringComputer Vision and Pattern RecognitionArtificial intelligencebusiness2d-EchocardiographycomputerAlgorithmsGraph cutMRI
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Advanced techniques in Magnetic Resonance Imaging: characterization of non-gaussian water diffusion using DIFFUSION KURTOSIS IMAGING (DKI)

2014

DKI DTI MRISettore FIS/01 - Fisica SperimentaleSettore MED/37 - NeuroradiologiaSettore MED/36 - Diagnostica Per Immagini E RadioterapiaSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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Looking into the architecture of the brain with MRI: quantification of non-Gaussian water diffusion by Diffusion Kurtosis Imaging (DKI)

2015

The aim of this work is the definition of an MRI protocol for Diffusion Kurtosis Imaging (DKI) by using a 1.5T clinical scanner and the development of a software for DKI analysis.

DKI MRI Gaussinan KurtosisSettore MED/37 - NeuroradiologiaSettore MED/36 - Diagnostica Per Immagini E RadioterapiaSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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Neuroimaging and electrophysiology meet invasive neurostimulation for causal interrogations and modulations of brain states.

2020

Deep brain stimulation (DBS) has developed over the last twenty years into a highly effective evidenced-based treatment option for neuropsychiatric disorders. Moreover, it has become a fascinating tool to provide illustrative insights into the functioning of brain networks. New anatomical and pathophysiological models of DBS action have accelerated our understanding of neurological and psychiatric disorders and brain functioning. The description of the brain networks arose through the unique ability to illustrate long-range interactions between interconnected brain regions as derived from state-of-the-art neuroimaging (structural, diffusion, and functional MRI) and the opportunity to record…

Deep brain stimulationBrain networksComputer scienceCognitive Neurosciencemedicine.medical_treatmentDeep Brain StimulationMicroelectrode recordingNeuroimagingLocal field potentialElectroencephalography050105 experimental psychologyDiffusion MRIlcsh:RC321-57103 medical and health sciences0302 clinical medicineNeuroimagingmedicineHumans0501 psychology and cognitive scienceslcsh:Neurosciences. Biological psychiatry. NeuropsychiatryNeurostimulationFunctional MRImedicine.diagnostic_test05 social sciencesBrainMagnetoencephalographyElectroencephalographyMagnetoencephalographyMagnetic Resonance ImagingPathophysiologyNeuromodulation (medicine)Structural MRIMicroelectrodeElectrophysiologyNeurologyNeuroscience030217 neurology & neurosurgeryDiffusion MRINeuroImage
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Lesion load may predict long-term cognitive dysfunction in multiple sclerosis patients

2015

Background: Magnetic Resonance Imaging (MRI) techniques provided evidences into the understanding of cognitive impairment (CIm) in Multiple Sclerosis (MS). Objectives: To investigate the role of white matter (WM) and gray matter (GM) in predicting long-term CIm in a cohort of MS patients. Methods: 303 out of 597 patients participating in a previous multicenter clinical-MRI study were enrolled (49.4% were lost at follow-up). The following MRI parameters, expressed as fraction (f) of intracranial volume, were evaluated: cerebrospinal fluid (CSF-f), WM-f, GM-f and abnormal WM (AWM-f), a measure of lesion load. Nine years later, cognitive status was assessed in 241 patients using the Symbol Dig…

EMTREE medical terms: Articlerecalllcsh:MedicineAudiologyNeuropsychological TestsNerve Fibers Myelinated030218 nuclear medicine & medical imagingCohort Studies0302 clinical medicinecognitive defectnuclear magnetic resonance imaginglcsh:ScienceModified Card Sorting TestMultidisciplinaryneuroimagingSemantically Related Word List TestMultiple Sclerosis Cognitive Dysfunction MRImedicine.diagnostic_testpredictive valueBrainCognitionNeuropsychological testgray matterMiddle AgedPrognosisMagnetic Resonance ImagingMemory Short-Termfemalebrain sizemultiple sclerosiCohortDisease ProgressionSettore MED/26 - Neurologiawhite matterResearch ArticleAdultmedicine.medical_specialtyMultiple SclerosisPaced Auditory Serial Addition Testverbal memorycerebrospinal fluidworking memory03 medical and health sciencesmalemedicineHumanscontrolled studyhumanRecallbusiness.industryMultiple sclerosislcsh:RMagnetic resonance imagingmedicine.diseasemajor clinical studyattentionexecutive functionSymbol Digit Modalities TestPaced Auditory Serial Addition Testneuropsychological testlcsh:QVerbal memorybusinessCognition Disorders030217 neurology & neurosurgeryFollow-Up Studies
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TRANS-CRANIAL MRI-GUIDED FOCUSED ULTRASOUND SURGERY (TCMRGFUS): ITALIAN AND WORLD-FIRST EXPERIENCE AT 1.5 TESLA

2016

Introduction: Transcranial magnetic resonance-guided focused ultrasound surgery (tcMRgFUS) is a promising new technology for the noninvasive treatment of various brain disorders. Here, we present our preliminary results achieved with the first Italian installation of a transcranial MRI-guided focused ultrasound surgery (tcMRgFUS) certified system for functional neurosurgery. Technical issues faced to achieve a safe and effective treatment will be discussed focusing on MR high-resolution live imaging and thermometry sequences optimization. Materials and Methods: Patient enrollment was based on indication for functional neurosurgery and evidence of medication-refractory disease; a detailed me…

Engineeringbusiness.industryTCMRGFUS MRI MDCTBiophysicsGeneral Physics and AstronomySettore MED/37 - NeuroradiologiaGeneral MedicineFocused ultrasound surgerySettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Radiology Nuclear Medicine and imagingNuclear medicinebusinessSettore MED/36 - Diagnostica Per Immagini E RadioterapiaMri guided
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GEL DOSIMETERS FOR RADIOTHERAPY APPLICATIONS: RESULTS OF A “RESEARCH PROJECT OF NATIONAL INTEREST” (PRIN)

2016

Introduction: Gel dosimeters for three-dimensional mapping of radiotherapy doses were introduced at Yale University in the mid-1980’s. Soon after, research and development in this field also started in Italy. Early work was done at the Istituto Superiore di Sanità and at the Universities of Pisa and Milan. Several institutes now collaborate on this topic with the goal of developing new formulations of hydrogel matrices with improved characteristics of stability, sensitivity and spatial resolution compared to those of earlier Fricke-gel and polymer-gel systems. Materials and methods: Contrary to earlier gels based on natural gelling agents, such as porcine skin gelatin and/or agarose, which …

Engineeringmedicine.medical_specialtyNational interestbusiness.industrySettore ING-IND/20 - Misure E Strumentazione NucleariSettore FIS/01 - Fisica SperimentaleBiophysicsGeneral Physics and AstronomySettore ING-IND/34 - Bioingegneria IndustrialeGeneral MedicineGel Dosimetry PVA GTA Agarose Gelatine MRI NMR Fricke gelSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)medicineRadiology Nuclear Medicine and imagingMedical physicsbusinessTelecommunicationsSettore CHIM/02 - Chimica Fisica
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Multiparametric MRI-based Dosimetric Parameters Best Predict Short-term Time Course of PSA After Iodine 125 Permanent Prostate Implantation for Local…

2012

International audience; D90% and V150% of the entire prostate are recognized as the best dosimetric predictors of outcome after 125 I permanent prostate implantation (PPI). The purpose of this study was 2-fold: 1) to determine the relationship between dose-volume parameters of the Dominant Intraprostatic Lesion (DIL) when compared to the prostate and early biochemical outcome after PPI; 2) to define if dose-volume parameters of the central gland (CG), the peripheral zone (PZ) and the DIL could best predict PSA bounce occurrence. The time course of PSA and mechanisms of bounces still remain unclear after PPI. Patients who had a higher dose in the DIL had a worse PSA level at 1 year which is …

Entire prostateCancer Researchmedicine.medical_specialtyProstate implantationUrology[INFO.INFO-IM] Computer Science [cs]/Medical Imaging030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicineProstatemedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingRadiology Nuclear Medicine and imagingRadiation[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industryMultiparametric MRIPSA bouncemedicine.diseasePeripheral zonemedicine.anatomical_structureOncology030220 oncology & carcinogenesisTime coursebusiness
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USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets

2019

Prostate cancer is the most common malignant tumors in men but prostate Magnetic Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland segmentation, the capability to differentiate between the blurry boundary of the Central Gland (CG) and Peripheral Zone (PZ) can lead to differential diagnosis, since tumor's frequency and severity differ in these regions. To tackle the prostate zonal segmentation task, we propose a novel Convolutional Neural Network (CNN), called USE-Net, which incorporates Squeeze-and-Excitation (SE) blocks into U-Net. Especially, the SE blocks are added after every Encoder (Enc USE-Net) or Encoder-Decoder block (Enc-Dec USE-Net). This study ev…

FOS: Computer and information sciences0209 industrial biotechnologyComputer Science - Machine LearningGeneralizationComputer scienceComputer Vision and Pattern Recognition (cs.CV)Cognitive NeuroscienceComputer Science - Computer Vision and Pattern RecognitionConvolutional neural network02 engineering and technologyConvolutional neural networkMachine Learning (cs.LG)Image (mathematics)Prostate cancer020901 industrial engineering & automationArtificial IntelligenceProstate0202 electrical engineering electronic engineering information engineeringmedicineMedical imagingAnatomical MRISegmentationBlock (data storage)Prostate cancermedicine.diagnostic_testSettore INF/01 - Informaticabusiness.industryAnatomical MRI; Convolutional neural networks; Cross-dataset generalization; Prostate cancer; Prostate zonal segmentation; USE-NetINF/01 - INFORMATICAMagnetic resonance imagingPattern recognitionUSE-Netmedicine.diseaseComputer Science Applicationsmedicine.anatomical_structureCross-dataset generalizationFeature (computer vision)Prostate zonal segmentation020201 artificial intelligence & image processingConvolutional neural networksArtificial intelligencebusinessEncoder
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