AIMC Topic: Signal-To-Noise Ratio

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An efficient dual-domain deep learning network for sparse-view CT reconstruction.

Computer methods and programs in biomedicine Aug 16, 2024
BACKGROUND AND OBJECTIVE: We develop an efficient deep-learning based dual-domain reconstruction method for sparse-view CT reconstruction with small training parameters and comparable running time. We aim to investigate the model's capability and its...
Radiographic Image Interpretation, Computer-Assisted Humans Signal-To-Noise Ratio Neural Networks, Computer Algorithms Deep Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Deep learning improves quality of intracranial vessel wall MRI for better characterization of potentially culprit plaques.

Scientific reports Aug 16, 2024
Intracranial vessel wall imaging (VWI), which requires both high spatial resolution and high signal-to-noise ratio (SNR), is an ideal candidate for deep learning (DL)-based image quality improvement. Conventional VWI (Conv-VWI, voxel size 0.51 × 0.51...
Signal-To-Noise Ratio Plaque, Atherosclerotic Deep Learning Magnetic Resonance Imaging Humans Retrospective Studies Adult Female Male Aged Middle Aged
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Effect of deep learning reconstruction on the assessment of pancreatic cystic lesions using computed tomography.

Radiological physics and technology Aug 15, 2024
This study aimed to compare the image quality and detection performance of pancreatic cystic lesions between computed tomography (CT) images reconstructed by deep learning reconstruction (DLR) and filtered back projection (FBP). This retrospective st...
Retrospective Studies Tomography, X-Ray Computed Humans Female Aged Image Processing, Computer-Assisted Aged, 80 and over Middle Aged Signal-To-Noise Ratio Male Deep Learning Pancreatic Cyst
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An accurate paradigm for denoising degraded ultrasound images based on artificial intelligence systems.

Microscopy research and technique Aug 15, 2024
Ultrasound images are susceptible to various forms of quality degradation that negatively impact diagnosis. Common degradations include speckle noise, Gaussian noise, salt and pepper noise, and blurring. This research proposes an accurate ultrasound ...
Support Vector Machine Signal-To-Noise Ratio Humans Neural Networks, Computer Artificial Intelligence Algorithms Ultrasonography Image Processing, Computer-Assisted
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Comparison of the Accuracy of a Deep Learning Method for Lesion Detection in PET/CT and PET/MRI Images.

Molecular imaging and biology Aug 14, 2024
PURPOSE: Develop a universal lesion recognition algorithm for PET/CT and PET/MRI, validate it, and explore factors affecting performance.
Positron Emission Tomography Computed Tomography Signal-To-Noise Ratio Aged Male Middle Aged Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Algorithms Female
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An effective no-reference image quality index prediction with a hybrid Artificial Intelligence approach for denoised MRI images.

BMC medical imaging Aug 12, 2024
As the quantity and significance of digital pictures in the medical industry continue to increase, Image Quality Assessment (IQA) has recently become a prevalent subject in the research community. Due to the wide range of distortions that Magnetic Re...
Humans Neural Networks, Computer Artificial Intelligence Fuzzy Logic Signal-To-Noise Ratio Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Linear diffusion noise boosted deep image prior for unsupervised sparse-view CT reconstruction.

Physics in medicine and biology Aug 9, 2024
Deep learning has markedly enhanced the performance of sparse-view computed tomography reconstruction. However, the dependence of these methods on supervised training using high-quality paired datasets, and the necessity for retraining under varied p...
Humans Signal-To-Noise Ratio Image Processing, Computer-Assisted Tomography, X-Ray Computed Unsupervised Machine Learning Deep Learning Diffusion
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Progressive Feature Fusion Attention Dense Network for Speckle Noise Removal in OCT Images.

IEEE/ACM transactions on computational biology and bioinformatics Aug 9, 2024
Although deep learning for Big Data analytics has achieved promising results in the field of optical coherence tomography (OCT) image denoising, the low recognition rate caused by complex noise distribution and a large number of redundant features is...
Retina Deep Learning Humans Signal-To-Noise Ratio Image Processing, Computer-Assisted Algorithms Tomography, Optical Coherence
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Self-Supervised Image Denoising of Third Harmonic Generation Microscopic Images of Human Glioma Tissue by Transformer-Based Blind Spot (TBS) Network.

IEEE journal of biomedical and health informatics Aug 6, 2024
Third harmonic generation (THG) microscopy shows great potential for instant pathology of brain tumor tissue during surgery. However, due to the maximal permitted exposure of laser intensity and inherent noise of the imaging system, the noise level o...
Signal-To-Noise Ratio Glioma Supervised Machine Learning Microscopy Humans Brain Neoplasms Algorithms Deep Learning Image Processing, Computer-Assisted
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Attention-Based MultiOffset Deep Learning Reconstruction of Chemical Exchange Saturation Transfer (AMO-CEST) MRI.

IEEE journal of biomedical and health informatics Aug 6, 2024
One challenge of chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) is the long scan time due to multiple acquisitions of images at different saturation frequency offsets. k-space under-sampling strategy is commonly used to...
Algorithms Brain Mice Magnetic Resonance Imaging Signal-To-Noise Ratio Animals Deep Learning Image Processing, Computer-Assisted
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