Search results for " MRI"

showing 10 items of 290 documents

CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study

2020

Prostate cancer is the most common cancer among US men. However, prostate imaging is still challenging despite the advances in multi-parametric magnetic resonance imaging (MRI), which provides both morphologic and functional information pertaining to the pathological regions. Along with whole prostate gland segmentation, distinguishing between the central gland (CG) and peripheral zone (PZ) can guide toward differential diagnosis, since the frequency and severity of tumors differ in these regions; however, their boundary is often weak and fuzzy. This work presents a preliminary study on deep learning to automatically delineate the CG and PZ, aiming at evaluating the generalization ability o…

Urologic DiseasesComputer scienceContext (language use)32 Biomedical and Clinical Sciences-Convolutional neural networkDeep convolutional neural networks Prostate zonal segmentation Cross-dataset generalizationProstate cancer46 Information and Computing SciencesProstateDeep convolutional neural networksmedicineAnatomical MRISegmentationProstate zonal segmentation; Prostate cancer; Anatomical MRI; Deep convolutional neural networks; Cross-dataset generalization;3202 Clinical SciencesCancerSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniProstate cancerSettore INF/01 - Informaticamedicine.diagnostic_testbusiness.industryDeep learningINF/01 - INFORMATICAMagnetic resonance imagingPattern recognitionmedicine.disease3211 Oncology and Carcinogenesismedicine.anatomical_structureCross-dataset generalizationProstate zonal segmentationBiomedical ImagingArtificial intelligenceDeep convolutional neural networkbusinessT2 weightedAnatomical MRI; Cross-dataset generalization; Deep convolutional neural networks; Prostate cancer; Prostate zonal segmentation
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P13. Dendato-thalamo-cortical pathways in association with otolith dysfunction

2015

Introduction The processing of otolith information within the human cortex is still poorly understood (Lopez and Blanke, 2011). Two distinct anatomical otolith pathways within the thalamo-cortical vestibular network were proposed in patients with thalamic infarctions who presented with contra- or ipsiversive tilts of the subjective visual vertical (SVV) (Dieterich and Brandt, 1993; Baier et al., submitted for publication). Aim of this study was to investigate the dendato-thalamo-cortical pathways in association with otolith dysfunction by means of DTI (diffusion tensor imaging) based on the regions found in a recent patient study using statistical lesion-behavior mapping (Baier et al., subm…

Vestibular systemPutamenThalamusCaudate nucleusAnatomySensory SystemsPonsmedicine.anatomical_structureNeurologyVestibular nucleiPhysiology (medical)Cortex (anatomy)medicineNeurology (clinical)PsychologyNeuroscienceDiffusion MRIClinical Neurophysiology
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Brainstem Anatomy of White Matter Tracts Using Diffusion Weighted Imaging

1998

White mattermedicine.anatomical_structureRadiological and Ultrasound Technologybusiness.industryMedicineRadiology Nuclear Medicine and imagingNeurology (clinical)AnatomyBrainstembusinessDiffusion MRIRivista di Neuroradiologia
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Water capillary absorption in porous media in different wettability conditions studied by Quantitative MRI and X-ray CT

2007

X-ray computed tomography (CT) and magnetic resonance imaging (MRI) have been successfully applied to study both the capillary properties of several samples of Lecce stone and the performances of treatments used for protection and conservation of historical stone artifacts. The presence of water inside the sample may be visualized by both MRI and X-ray CT. For the treated samples, the different dynamics of water absorption gives indirectly the efficacy of the polymer in the rock.

X-ray CTstone protectionMaterials sciencewater capillary rise in porous mediaCapillary actionXCTBiomedical EngineeringBiophysicsAnalytical chemistryX-raystone wettabilityQuantitative MRIADSORBTION KINETICSporous mediaRadiology Nuclear Medicine and imagingWettingIDROPHOBIC TREATMENTSAbsorption (electromagnetic radiation)Porous mediumWETTABILITYMRI
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Definition of a mutual reference shape based on information theory and active contours

2013

In this paper, we propose to consider the estimation of a reference shape from a set of different segmentation results using both active contours and information theory. The reference shape is then defined as the minimum of a criterion that benefits from both the mutual information and the joint entropy of the input segmentations. This energy criterion is here justified using similarities between information theory quantities and area measures, and presented in a continuous variational framework. This framework brings out some interesting evaluation measures such as the specificity and sensitivity. In order to solve this shape optimization problem, shape derivatives are computed for each te…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingsegmentation evaluation[ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingaverage shape[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging[INFO.INFO-IM] Computer Science [cs]/Medical ImagingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingactive contours[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]shape gradientsImage processingcardiac MRI.[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processingshape optimizationcardiac MRI[INFO.INFO-IM]Computer Science [cs]/Medical Imaging[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processinginformation theory
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Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR

2021

International audience; In medical image segmentation, several studies have used Bayesian neural networks to segment and quantify the uncertainty of the images. These studies show that there might be an increased epistemic uncertainty in areas where there are semantically and visually challenging pixels. The uncertain areas of the image can be of a great interest as they can possibly indicate the regions of incorrect segmentation. To leverage the uncertainty information, we propose a segmentation model that incorporates the uncertainty into its learning process. Firstly, we generate the uncertainty estimate (sample variance) using Monte-Carlo dropout during training. Then we incorporate it …

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Bayesian deep learningCardiac MRI Segmentation[INFO.INFO-IM] Computer Science [cs]/Medical ImagingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONUncertainty[INFO.INFO-IM]Computer Science [cs]/Medical ImagingMyocardial scar[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation

2022

Automatic and accurate segmentation of the left atrial (LA) cavity and scar can be helpful for the diagnosis and prognosis of patients with atrial fibrillation. However, automating the segmentation can be difficult due to the poor image quality, variable LA shapes, and small discrete regions of LA scars. In this paper, we proposed a fully-automatic method to segment LA cavity and scar from Late Gadolinium Enhancement (LGE) MRIs. For the loss functions, we propose two different losses for each task. To enhance the segmentation of LA cavity from the multicenter dataset, we present a hybrid loss that leverages Dice loss with a polynomial version of cross-entropy loss (PolyCE). We also utilize …

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]SegmentationPolyLossUncertaintyCardiac MRI Late Gadolinium Enhancement MRI Left Atrium Scar quantification Segmentation Deep learning PolyLoss UncertaintyDeep learningCardiac MRILeft AtriumScar quantificationLate Gadolinium Enhancement MRI
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The distribution of sodium within cooked food and sodium interactions with the matrix depends on both food matrices and salting practices

2021

The quantitative maps results show that the sodium distribution is more heterogeneous in the carrot salted after cooking than in the carrot salted during cooking  The salt diffusion during 5 hours after the 20 minutes of cooking for cooked carrot either salted during cooking or salted after cooking show an homogenization of the sodium

[SDV] Life Sciences [q-bio]discretionary saltSodiumcooked foodscooked foodquantitative MRI
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High performance of intravoxel incoherent motion diffusion MRI in detecting viral hepatitis-b induced liver fibrosis.

2019

Background: Recently a small cohort study demonstrated that intravoxel incoherent motion (IVIM) diffusion MRI can detect early stage liver fibrosis. Using modified IVIM data acquisition parameters, the current study aims to confirm this finding. Methods: Twenty-six healthy volunteers, three patients of chronic viral hepatitis-b but without fibrosis and one mild liver steatosis subject, and 12 viral hepatitis-b patients with fibrosis (stage 1–2=7, stage 3–4=5) were included in this study. With a 1.5-T MR scanner and respiration-gating, IVIM diffusion imaging was acquired using a single-shot echo-planar sequence with a b -value series of 2, 0, 1, 15, 20, 30, 45, 50, 60, 80, 100, 200, 300, 600…

business.industryLiver fibrosisViral hepatitis bGeneral Medicinemedicine.disease030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineFibrosismedicine030211 gastroenterology & hepatologyOriginal ArticleStage (cooking)Nuclear medicinebusinessViral hepatitisPerfusionIntravoxel incoherent motionDiffusion MRIAnnals of translational medicine
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Large Mediastinal mass in pregnancy: utility of echocardiography and cardiac MRI. A case report

2011

cardiac MRIechocardiographypregnancylarge mediastinal ma
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