AIMC Topic: Diffusion Magnetic Resonance Imaging

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DIMOND: DIffusion Model OptimizatioN with Deep Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 18, 2024
Diffusion magnetic resonance imaging is an important tool for mapping tissue microstructure and structural connectivity non-invasively in the in vivo human brain. Numerous diffusion signal models are proposed to quantify microstructural properties. N...
Brain Deep Learning Humans Image Processing, Computer-Assisted Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging
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High-resolution 3T to 7T ADC map synthesis with a hybrid CNN-transformer model.

Medical physics Apr 17, 2024
BACKGROUND: 7 Tesla (7T) apparent diffusion coefficient (ADC) maps derived from diffusion-weighted imaging (DWI) demonstrate improved image quality and spatial resolution over 3 Tesla (3T) ADC maps. However, 7T magnetic resonance imaging (MRI) curren...
Diffusion Magnetic Resonance Imaging Brain Image Processing, Computer-Assisted Humans Neural Networks, Computer Magnetic Resonance Imaging
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Comparison of Machine Learning Models Using Diffusion-Weighted Images for Pathological Grade of Intrahepatic Mass-Forming Cholangiocarcinoma.

Journal of imaging informatics in medicine Apr 16, 2024
Is the radiomic approach, utilizing diffusion-weighted imaging (DWI), capable of predicting the various pathological grades of intrahepatic mass-forming cholangiocarcinoma (IMCC)? Furthermore, which model demonstrates superior performance among the d...
Bile Duct Neoplasms Cholangiocarcinoma Diffusion Magnetic Resonance Imaging Support Vector Machine Neoplasm Grading Image Interpretation, Computer-Assisted Algorithms Retrospective Studies Female Male Middle Aged Aged Adult Humans Machine Learning
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Reduction of ADC bias in diffusion MRI with deep learning-based acceleration: A phantom validation study at 3.0 T.

Magnetic resonance imaging Apr 15, 2024
PURPOSE: Further acceleration of DWI in diagnostic radiology is desired but challenging mainly due to low SNR in high b-value images and associated bias in quantitative ADC values. Deep learning-based reconstruction and denoising may provide a soluti...
Deep Learning Humans Phantoms, Imaging Image Processing, Computer-Assisted Diffusion Magnetic Resonance Imaging Algorithms Signal-To-Noise Ratio Computer Simulation Reproducibility of Results
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Deep learning-based compressed SENSE improved diffusion-weighted image quality and liver cancer detection: A prospective study.

Magnetic resonance imaging Apr 9, 2024
PURPOSE: To assess whether diffusion-weighted imaging (DWI) with Compressed SENSE (CS) and deep learning (DL-CS-DWI) can improve image quality and lesion detection in patients at risk for hepatocellular carcinoma (HCC).
Humans Adult Male Middle Aged Deep Learning Prospective Studies Female Aged Gadolinium DTPA Diffusion Magnetic Resonance Imaging Liver Image Interpretation, Computer-Assisted Image Enhancement Liver Neoplasms Carcinoma, Hepatocellular Contrast Media
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Posterior circulation ischemic stroke: radiomics-based machine learning approach to identify onset time from magnetic resonance imaging.

Neuroradiology Apr 9, 2024
PURPOSE: Posterior circulation ischemic stroke (PCIS) possesses unique features. However, previous studies have primarily or exclusively relied on anterior circulation stroke cases to build machine learning (ML) models for predicting onset time. To d...
Ischemic Stroke Bayes Theorem Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Male Middle Aged Humans Time Factors Aged Machine Learning Radiomics Female
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NVAM-Net: deep learning networks for reconstructing high-quality fiber orientation distributions.

Neuroradiology Apr 2, 2024
PURPOSE: Diffusion magnetic resonance imaging (dMRI) is a widely used non-invasive method for investigating brain anatomical structures. Conventional techniques for estimating fiber orientation distribution (FOD) from dMRI data often neglect voxel-le...
Image Processing, Computer-Assisted Connectome Humans Diffusion Tensor Imaging Brain Diffusion Magnetic Resonance Imaging Deep Learning
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Intravoxel incoherent motion and diffusion kurtosis imaging and their machine-learning-based texture analysis for detection and assessment of prostate cancer severity at 3 T.

NMR in biomedicine Mar 31, 2024
OBJECTIVES: To evaluate the role of combined intravoxel incoherent motion and diffusion kurtosis imaging (IVIM-DKI) and their machine-learning-based texture analysis for the detection and assessment of severity in prostate cancer (PCa).
Prostatic Neoplasms Motion Diffusion Magnetic Resonance Imaging Male Humans Middle Aged Machine Learning ROC Curve Aged
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Deep Learning Accelerated Brain Diffusion-Weighted MRI with Super Resolution Processing.

Academic radiology Mar 22, 2024
OBJECTIVES: To investigate the clinical feasibility and image quality of accelerated brain diffusion-weighted imaging (DWI) with deep learning image reconstruction and super resolution.
Adult Brain Brain Diseases Male Female Image Processing, Computer-Assisted Humans Diffusion Magnetic Resonance Imaging Middle Aged Aged Feasibility Studies Prospective Studies Deep Learning Aged, 80 and over Image Interpretation, Computer-Assisted Young Adult
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Diffusion-/perfusion-weighted imaging fusion to automatically identify stroke within 4.5 h.

European radiology Mar 15, 2024
OBJECTIVES: We aimed to develop machine learning (ML) models based on diffusion- and perfusion-weighted imaging fusion (DP fusion) for identifying stroke within 4.5 h, to compare them with DWI- and/or PWI-based ML models, and to construct an automati...
Multimodal Imaging Stroke Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Humans Male Machine Learning Middle Aged Female Time Factors Aged Sensitivity and Specificity
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