Reliability of multimodal MRI brain measures in youth at risk for mental illness
Sign Up to like & getrecommendations! Published in 2020 at "Brain and Behavior"
DOI: 10.1002/brb3.1609
Abstract: A new generation of large‐scale studies is using neuroimaging to investigate adolescent brain development across health and disease. However, imaging artifacts such as head motion remain a challenge and may be exacerbated in pediatric clinical… read more here.
Keywords: multimodal mri; risk mental; reliability multimodal; mental illness ... See more keywords
Multimodal MRI assessment for first episode psychosis: A major change in the thalamus and an efficient stratification of a subgroup
Sign Up to like & getrecommendations! Published in 2020 at "Human Brain Mapping"
DOI: 10.1002/hbm.25276
Abstract: Multi‐institutional brain imaging studies have emerged to resolve conflicting results among individual studies. However, adjusting multiple variables at the technical and cohort levels is challenging. Therefore, it is important to explore approaches that provide meaningful… read more here.
Keywords: first episode; multimodal mri; assessment first; mri assessment ... See more keywords
Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.27098
Abstract: MRI‐based radiomics has been used to diagnose breast lesions; however, little research combining quantitative pharmacokinetic parameters of dynamic contrast‐enhanced MRI (DCE‐MRI) and diffusion kurtosis imaging (DKI) exists. read more here.
Keywords: radiomics based; based multimodal; mri differential; breast ... See more keywords
Supervised Learning based Multimodal MRI Brain Tumour Segmentation using Texture Features from Supervoxels#
Sign Up to like & getrecommendations! Published in 2018 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2018.01.003
Abstract: BACKGROUND Accurate segmentation of brain tumour in magnetic resonance images (MRI) is a difficult task due to various tumour types. Using information and features from multimodal MRI including structural MRI and isotropic (p) and anisotropic… read more here.
Keywords: multimodal mri; segmentation; brain; brain tumour ... See more keywords
Multimodal MRI quantification of the common neurostructural bases within the FTD-ALS continuum
Sign Up to like & getrecommendations! Published in 2018 at "Neurobiology of Aging"
DOI: 10.1016/j.neurobiolaging.2017.09.019
Abstract: The continuum hypothesis linking the behavioral variant of frontotemporal dementia (bvFTD) and amyotrophic lateral sclerosis (ALS) is supported by clinical, pathological, genetic, and neuroimaging evidence. In the present multimodal magnetic resonance study, we characterized the… read more here.
Keywords: mri quantification; als continuum; multimodal mri; ftd als ... See more keywords
Multimodal MRI Volumetric Data Fusion With Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3184360
Abstract: Medical image fusion aims to integrate the complementary information captured by images of different modalities into a more informative composite image. However, current study on medical image fusion suffers from several drawbacks: 1) existing methods… read more here.
Keywords: fusion; mri volumetric; multimodal mri; medical image ... See more keywords
Multimodal MRI-Based Radiomic Nomogram for the Early Differentiation of Recurrence and Pseudoprogression of High-Grade Glioma
Sign Up to like & getrecommendations! Published in 2022 at "BioMed Research International"
DOI: 10.1155/2022/4667117
Abstract: Objective To evaluate the diagnostic value of multimodal MRI radiomics based on T2-weighted fluid attenuated inversion recovery imaging (T2WI-FLAIR) combined with T1-weighted contrast enhanced imaging (T1WI-CE) in the early differentiation of high-grade glioma recurrence from… read more here.
Keywords: group; multimodal mri; recurrence pseudoprogression; model ... See more keywords
Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer
Sign Up to like & getrecommendations! Published in 2020 at "BioMedical Engineering OnLine"
DOI: 10.1186/s12938-019-0744-0
Abstract: Background Non-invasive discrimination between lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD) subtypes of non-small-cell lung cancer (NSCLC) could be very beneficial to the patients unfit for the invasive diagnostic procedures. The aim of… read more here.
Keywords: histological subtype; multimodal mri; mri; cell ... See more keywords
Author Response: Multimodal CT or MRI for IV Thrombolysis in Ischemic Stroke With Unknown Time of Onset
Sign Up to like & getrecommendations! Published in 2021 at "Neurology"
DOI: 10.1212/wnl.0000000000012008
Abstract: We thank Kumar and Singh for their interesting comment.1 For patients with acute ischemic stroke, the time to the start of rt-PA is crucial, and any unnecessary delay should be avoided.2 read more here.
Keywords: ischemic stroke; time; author response; mri thrombolysis ... See more keywords
Machine learning-based multimodal MRI texture analysis for assessing renal function and fibrosis in diabetic nephropathy: a retrospective study
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Endocrinology"
DOI: 10.3389/fendo.2023.1050078
Abstract: Introduction Diabetic nephropathy (DN) has become a major public health burden in China. A more stable method is needed to reflect the different stages of renal function impairment. We aimed to determine the possible practicability… read more here.
Keywords: function; multimodal mri; analysis; renal function ... See more keywords
Predict Disease Progression With Reaction Rate Equation Modeling of Multimodal MRI and PET
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers in Aging Neuroscience"
DOI: 10.3389/fnagi.2018.00306
Abstract: Neurodegenerative dementia often has multiple types of underlying pathology, for example, beta-amyloid, misfolded tau, chronic neuroinflammation and neurodegeneration may coexist in Alzheimer’s disease. However, the relationship between them is often unclear, in other words, whether… read more here.
Keywords: multimodal mri; rate; disease progression; pathology ... See more keywords