Articles with "weighted images" as a keyword



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Linear gadolinium‐based contrast agent (gadodiamide and gadopentetate dimeglumine)‐induced high signal intensity on unenhanced T1‐weighted images in pediatric patients

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Published in 2019 at "Journal of Magnetic Resonance Imaging"

DOI: 10.1002/jmri.26311

Abstract: Recent studies of adults have found an association between hyperintensity of the dentate nucleus (DN) and globus pallidus (GP) on T1‐weighted images (T1WI) and a history of linear gadolinium‐based contrast agent (GBCA) administration. Several reports… read more here.

Keywords: gadolinium based; contrast agent; based contrast; weighted images ... See more keywords
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Diffusional kurtosis imaging in head and neck cancer: On the use of trace‐weighted images to estimate indices of non‐Gaussian water diffusion

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Published in 2018 at "Medical Physics"

DOI: 10.1002/mp.13238

Abstract: PURPOSE While previous studies have demonstrated the feasibility and potential usefulness of quantitative non-Gaussian diffusional kurtosis imaging (DKI) of the brain, more recent research has focused on oncological application of DKI in various body regions… read more here.

Keywords: diffusion; diffusional kurtosis; kurtosis; weighted images ... See more keywords
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Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks.

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Published in 2019 at "Medical physics"

DOI: 10.1002/mp.13642

Abstract: PURPOSE To effectively grade hepatocellular carcinoma (HCC) based on deep features derived from diffusion weighted images (DWI) with multiple b-values using convolutional neural networks (CNN). MATERIALS AND METHODS Ninety-eight subjects with 100 pathologically confirmed HCC… read more here.

Keywords: hepatocellular carcinoma; features derived; diffusion weighted; deep features ... See more keywords
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Radiomics analysis of T2‐weighted images for differentiating invasive placentas in women at high risks

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Published in 2022 at "Magnetic Resonance in Medicine"

DOI: 10.1002/mrm.29396

Abstract: To develop and validate an MRI‐based radiomics model for differentiating invasive placentas in patients with high risks. read more here.

Keywords: invasive placentas; differentiating invasive; high risks; weighted images ... See more keywords
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Relevance of apparent diffusion coefficient features for a radiomics-based prediction of response to induction chemotherapy in sinonasal cancer.

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Published in 2020 at "NMR in biomedicine"

DOI: 10.1002/nbm.4265

Abstract: In this paper, several radiomics-based predictive models of response to induction chemotherapy (IC) in sinonasal cancers (SNCs) are built and tested. Models were built as a combination of radiomic features extracted from three types of… read more here.

Keywords: radiomics based; response; chemotherapy sinonasal; weighted images ... See more keywords
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MR findings of the orbit in patients with Vogt–Koyanagi–Harada disease

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Published in 2018 at "Neuroradiology"

DOI: 10.1007/s00234-018-1999-z

Abstract: PurposeWe aimed to evaluate the MR findings of the orbit in patients with Vogt–Koyanagi–Harada disease (VKHD).MethodsWe included 14 patients with clinically diagnosed VKHD, who underwent orbital MR imaging before treatment between May 2011 and August… read more here.

Keywords: vogt koyanagi; orbit patients; patients vogt; weighted images ... See more keywords
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Added value of diffusion-weighted magnetic resonance imaging for the diagnosis of perianal fistula.

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Published in 2017 at "Diagnostic and interventional imaging"

DOI: 10.1016/j.diii.2016.11.002

Abstract: PURPOSE To evaluate the added value of diffusion-weighted (DWI) magnetic resonance imaging (MRI) by comparison with T2-weighted images alone in the diagnosis of perianal fistula. MATERIAL AND METHODS MRI examinations of 123 patients (97 men,… read more here.

Keywords: combination; added value; perianal fistula; weighted images ... See more keywords
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Histogram parameters derived from T1 and T2 weighted images correlate with tumor infiltrating lymphocytes and tumor-stroma ratio in head and neck squamous cell cancer.

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Published in 2021 at "Magnetic resonance imaging"

DOI: 10.1016/j.mri.2021.05.003

Abstract: PURPOSE The present study used histogram analysis values derived from T1- and T2- weighted (w) images to elucidate possible associations with Tumor-infiltrating lymphocytes (TIL) and Vimentin expression in head and neck squamous cell cancer (HNSCC).… read more here.

Keywords: tumor; infiltrating lymphocytes; tumor infiltrating; expression ... See more keywords
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Morphological prediction of glaucoma by quantitative analyses of ocular shape and volume using 3-dimensional T2-weighted MR images

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Published in 2019 at "Scientific Reports"

DOI: 10.1038/s41598-019-51611-0

Abstract: Elongated axial length of the eye increases the morbidity of glaucoma. Myopia also associates with elongated axial length, and such ellipsoid shape of the eyeball strongly contributes its pathogenesis. Morphological features of the eyeballs, which… read more here.

Keywords: volume; shape; glaucoma; weighted images ... See more keywords
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Pre-examinations Improve Automated Metastases Detection on Cranial MRI.

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Published in 2020 at "Investigative Radiology"

DOI: 10.1097/rli.0000000000000745

Abstract: The aim of this study was to assess the diagnostic value of inclusion of prediagnosis magnetic resonance imaging (MRI) and different MRI sequences when training a convolutional neural network (CNN) in detection of metastases from… read more here.

Keywords: mri; weighted images; inclusion; enhanced weighted ... See more keywords
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Multimodal MEMPRAGE, FLAIR, and R2* Segmentation to Resolve Dura and Vessels from Cortical Gray Matter

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Published in 2017 at "Frontiers in Neuroscience"

DOI: 10.3389/fnins.2017.00258

Abstract: While widely in use in automated segmentation approaches for the detection of group differences or of changes associated with continuous predictors in gray matter volume, T1-weighted images are known to represent dura and cortical vessels… read more here.

Keywords: dura; matter; segmentation; gray matter ... See more keywords