AIMC Topic: Diffusion Magnetic Resonance Imaging
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Recovering high-quality fiber orientation distributions from a reduced number of diffusion-weighted images using a model-driven deep learning architecture.
Magnetic resonance in medicine
Jun 9, 2024
PURPOSE: The aim of this study was to develop a model-based deep learning architecture to accurately reconstruct fiber orientation distributions (FODs) from a reduced number of diffusion-weighted images (DWIs), facilitating accurate analysis with red...
Identification of Multiclass Pediatric Low-Grade Neuroepithelial Tumor Molecular Subtype with ADC MR Imaging and Machine Learning.
AJNR. American journal of neuroradiology
Jun 7, 2024
BACKGROUND AND PURPOSE: Molecular biomarker identification increasingly influences the treatment planning of pediatric low-grade neuroepithelial tumors (PLGNTs). We aimed to develop and validate a radiomics-based ADC signature predictive of the molec...
Investigating the discrimination ability of 3D convolutional neural networks applied to altered brain MRI parametric maps.
Artificial intelligence in medicine
May 17, 2024
Convolutional neural networks (CNNs) are gradually being recognized in the neuroimaging community as a powerful tool for image analysis. Despite their outstanding performances, some aspects of CNN functioning are still not fully understood by human o...
Deep learning with diffusion MRI as in vivo microscope reveals sex-related differences in human white matter microstructure.
Scientific reports
May 14, 2024
Biological sex is a crucial variable in neuroscience studies where sex differences have been documented across cognitive functions and neuropsychiatric disorders. While gross statistical differences have been previously documented in macroscopic brai...
Voxel level dense prediction of acute stroke territory in DWI using deep learning segmentation models and image enhancement strategies.
Japanese journal of radiology
May 10, 2024
PURPOSE: To build a stroke territory classifier model in DWI by designing the problem as a multiclass segmentation task by defining each stroke territory as distinct segmentation targets and leveraging the guidance of voxel wise dense predictions.
Accelerated Diffusion-Weighted Magnetic Resonance Imaging of the Liver at 1.5 T With Deep Learning-Based Image Reconstruction: Impact on Image Quality and Lesion Detection.
Journal of computer assisted tomography
May 6, 2024
OBJECTIVE: To perform image quality comparison between deep learning-based multiband diffusion-weighted sequence (DL-mb-DWI), accelerated multiband diffusion-weighted sequence (accelerated mb-DWI), and conventional multiband diffusion-weighted sequen...
Automatic assessment of DWI-ASPECTS for acute ischemic stroke based on deep learning.
Medical physics
Apr 30, 2024
BACKGROUND: Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is a standardized semi-quantitative method for early ischemic changes in acute ischemic stroke.
Study on the differential diagnosis of benign and malignant breast lesions using a deep learning model based on multimodal images.
Journal of cancer research and therapeutics
Apr 30, 2024
OBJECTIVE: To establish a multimodal model for distinguishing benign and malignant breast lesions.
Predictive value of magnetic resonance imaging diffusion parameters using artificial intelligence in low-and intermediate-risk prostate cancer patients treated with stereotactic ablative radiotherapy: A pilot study.
Radiography (London, England : 1995)
Apr 27, 2024
INTRODUCTION: To investigate the predictive value of the pre-treatment diffusion parameters of diffusion-weighted magnetic resonance imaging (DW-MRI) using artificial intelligence (AI) for prostate-specific antigen (PSA) response in patients with low...
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study.
Medical image analysis
Apr 25, 2024
Diffusion-weighted magnetic resonance imaging (dMRI) is widely used to assess the brain white matter. Fiber orientation distribution functions (FODs) are a common way of representing the orientation and density of white matter fibers. However, with s...
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