AIMC Topic: Diffusion Magnetic Resonance Imaging

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Combination of DCE-MRI and NME-DWI via Deep Neural Network for Predicting Breast Cancer Molecular Subtypes.

Clinical breast cancer Mar 13, 2024
BACKGROUND: To explore whether the combination of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and nonmono-exponential (NME) model-based diffusion-weighted imaging (DWI) via deep neural network (DNN) can improve the prediction of ...
Contrast Media Magnetic Resonance Imaging Receptor, ErbB-2 Adult Breast Neoplasms Middle Aged Diffusion Magnetic Resonance Imaging Humans Neural Networks, Computer Prospective Studies Female Aged
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Fully Automated Identification of Lymph Node Metastases and Lymphovascular Invasion in Endometrial Cancer From Multi-Parametric MRI by Deep Learning.

Journal of magnetic resonance imaging : JMRI Mar 12, 2024
BACKGROUND: Early and accurate identification of lymphatic node metastasis (LNM) and lymphatic vascular space invasion (LVSI) for endometrial cancer (EC) patients is important for treatment design, but difficult on multi-parametric MRI (mpMRI) images...
Female Aged Adult Humans Retrospective Studies Magnetic Resonance Imaging Image Processing, Computer-Assisted Neoplasm Invasiveness Endometrial Neoplasms Lymph Nodes Image Interpretation, Computer-Assisted Lymphatic Metastasis Diffusion Magnetic Resonance Imaging Middle Aged Multiparametric Magnetic Resonance Imaging Deep Learning ROC Curve
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Deep learning-based diffusion tensor cardiac magnetic resonance reconstruction: a comparison study.

Scientific reports Mar 7, 2024
In vivo cardiac diffusion tensor imaging (cDTI) is a promising Magnetic Resonance Imaging (MRI) technique for evaluating the microstructure of myocardial tissue in living hearts, providing insights into cardiac function and enabling the development o...
Magnetic Resonance Spectroscopy Algorithms Diffusion Tensor Imaging Deep Learning Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging
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DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI.

IEEE transactions on medical imaging Mar 5, 2024
Parcellation of anatomically segregated cortical and subcortical brain regions is required in diffusion MRI (dMRI) analysis for region-specific quantification and better anatomical specificity of tractography. Most current dMRI parcellation approache...
Deep Learning Image Processing, Computer-Assisted Connectome Diffusion Magnetic Resonance Imaging Humans Brain Reproducibility of Results
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TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance.

Medical image analysis Feb 23, 2024
We propose a geometric deep-learning-based framework, TractGeoNet, for performing regression using diffusion magnetic resonance imaging (dMRI) tractography and associated pointwise tissue microstructure measurements. By employing a point cloud repres...
Connectome Young Adult Neural Pathways Deep Learning White Matter Diffusion Magnetic Resonance Imaging Humans Brain Language
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Increased brain fractional perfusion in obesity using intravoxel incoherent motion (IVIM) MRI metrics.

Obesity (Silver Spring, Md.) Feb 21, 2024
OBJECTIVE: This research seeks to shed light on the associations between brain perfusion, cognitive function, and mental health in individuals with and without obesity.
Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging Obesity Perfusion Humans Artificial Intelligence Brain
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Comments on "A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI".

Journal of magnetic resonance imaging : JMRI Feb 17, 2024
Humans Breast Female Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Breast Neoplasms Deep Learning Image Processing, Computer-Assisted
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Responds to the Comments on "A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI".

Journal of magnetic resonance imaging : JMRI Feb 16, 2024
Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Deep Learning Image Processing, Computer-Assisted Breast Humans Female Breast Neoplasms
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Development and Validation of Interpretable Machine Learning Models for Clinically Significant Prostate Cancer Diagnosis in Patients With Lesions of PI-RADS v2.1 Score ≥3.

Journal of magnetic resonance imaging : JMRI Feb 16, 2024
BACKGROUND: For patients with PI-RADS v2.1 ≥ 3, prostate biopsy is strongly recommended. Due to the unsatisfactory positive rate of biopsy, improvements in clinically significant prostate cancer (csPCa) risk assessments are required.
Humans Machine Learning Retrospective Studies Reproducibility of Results Prostatic Neoplasms Prostate-Specific Antigen Prostate Risk Assessment Diffusion Magnetic Resonance Imaging ROC Curve Aged Echo-Planar Imaging Biopsy Magnetic Resonance Imaging Male Image Interpretation, Computer-Assisted Middle Aged
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Deep learning-based diffusion tensor image generation model: a proof-of-concept study.

Scientific reports Feb 5, 2024
This study created an image-to-image translation model that synthesizes diffusion tensor images (DTI) from conventional diffusion weighted images, and validated the similarities between the original and synthetic DTI. Thirty-two healthy volunteers we...
Internal Capsule White Matter Diffusion Magnetic Resonance Imaging Corpus Callosum Humans Deep Learning Signal-To-Noise Ratio
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