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Deep Image Prior-Based PET Reconstruction From Partial Data
Deep Image Prior-Based PET Reconstruction From Partial Data
In this article, we propose an unsupervised deep learning method for positron emission tomography (PET) reconstruction fro...
Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising
Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising
Deep image prior (DIP) has been successfully applied to positron emission tomography (PET) image restoration, enabling rep...
A Total-Body Ultralow-Dose PET Reconstruction Method via Image Space Shuffle U-Net and Body Sampling
A Total-Body Ultralow-Dose PET Reconstruction Method via Image Space Shuffle U-Net and Body Sampling
Low-dose positron emission tomography (PET) reconstruction algorithms manage to reduce the injected dose and/or scanning t...
Unified Noise-Aware Network for Low-Count PET Denoising With Varying Count Levels
Unified Noise-Aware Network for Low-Count PET Denoising With Varying Count Levels
As positron emission tomography (PET) imaging is accompanied by substantial radiation exposure and cancer risk, reducing r...
Effects of Loss Functions and Supervision Methods on Total-Body PET Denoising
Effects of Loss Functions and Supervision Methods on Total-Body PET Denoising
Introduction of the total-body positron emission tomography (TB PET) system is a remarkable advancement in noninvasive ima...
PET Synthesis via Self-Supervised Adaptive Residual Estimation Generative Adversarial Network
PET Synthesis via Self-Supervised Adaptive Residual Estimation Generative Adversarial Network
Positron emission tomography (PET) is a widely used, highly sensitive molecular imaging in clinical diagnosis. There is in...
Cross-Scanner Low-Dose Brain-PET Image Noise Reduction With Self-Ensembling
Cross-Scanner Low-Dose Brain-PET Image Noise Reduction With Self-Ensembling
Deep learning models have shown great potential in reducing low-dose (LD) positron emission tomography (PET) image noise b...
A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising With Neural Network Approaches
A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising With Neural Network Approaches
Low-dose emission tomography (ET) plays a crucial role in medical imaging, enabling the acquisition of functional informat...
Bidirectional Condition Diffusion Probabilistic Models for PET Image Denoising
Bidirectional Condition Diffusion Probabilistic Models for PET Image Denoising
Low-count positron emission tomography (PET) imaging is an effective way to reduce the radiation risk of PET at the cost o...
DEMIST: A Deep-Learning-Based Detection-Task-Specific Denoising Approach for Myocardial Perfusion SPECT
DEMIST: A Deep-Learning-Based Detection-Task-Specific Denoising Approach for Myocardial Perfusion SPECT
There is an important need for methods to process myocardial perfusion imaging (MPI) single-photon emission computed tomog...
A Low Cost, Flexible Atmospheric Pressure Plasma Jet Device With Good Antimicrobial Efficiency
A Low Cost, Flexible Atmospheric Pressure Plasma Jet Device With Good Antimicrobial Efficiency
Plasma sources suitable to generate low-temperature plasmas has been fundamental for the advances in plasma medicine. In t...
A Scalable Dynamic TOT Circuit for a 100 ps TOF-PET Detector Design to Improve Energy Linearity and Dynamic Range
A Scalable Dynamic TOT Circuit for a 100 ps TOF-PET Detector Design to Improve Energy Linearity and Dynamic Range
This article focuses on adapting linearization strategies for annihilation photon energy measurement for a time-of-flight ...
A Model for a Linear a-Se Detector in Simulated X-Ray Breast Imaging With Monte Carlo Software
A Model for a Linear a-Se Detector in Simulated X-Ray Breast Imaging With Monte Carlo Software
In-silico clinical trials with digital patient models and simulated devices are an alternative to expensive and long clini...
A Review of Dielectric Barrier Discharge Cold Atmospheric Plasma for Surface Sterilization and Decontamination
A Review of Dielectric Barrier Discharge Cold Atmospheric Plasma for Surface Sterilization and Decontamination
Numerous investigations have shown that nonequilibrium discharges at atmospheric pressure, also known as “cold atmospheric...
Infrared Spectroscopy for Tracking Changes in Proteins Secondary Structure and Lipids During Wound Healing Process of Diabetic Mice After Treated by a Cold Atmospheric Plasma Jet
Infrared Spectroscopy for Tracking Changes in Proteins Secondary Structure and Lipids During Wound Healing Process of Diabetic Mice After Treated by a Cold Atmospheric Plasma Jet
The attenuated total reflection Fourier transform infrared spectroscopy attenuated total reflection-Fourier transform infr...
Evaluation of an MRI-Guided PET Image Reconstruction Approach With Adaptive Penalization Strength
Evaluation of an MRI-Guided PET Image Reconstruction Approach With Adaptive Penalization Strength
MRI-guided (MRIg) positron emission tomography (PET) reconstruction can potentially reduce noise and increase spatial reso...
Development and Evaluation of a Portable MVT-Based All-Digital Helmet PET Scanner
Development and Evaluation of a Portable MVT-Based All-Digital Helmet PET Scanner
Novel design solutions for dedicated portable brain positron emission tomography systems with improved performance facilit...
A Novel Peak Picking Multi-Voltage Threshold Digitizer for Pulse Sampling
A Novel Peak Picking Multi-Voltage Threshold Digitizer for Pulse Sampling
The multi-voltage threshold (MVT) method employs comparators and time-to-digital converters to acquire the samples of a sc...
DOI- and TOF-Capable PET Array Detector Using Double-Ended Light Readout and Stripline-Based Row and Column Electronic Readout
DOI- and TOF-Capable PET Array Detector Using Double-Ended Light Readout and Stripline-Based Row and Column Electronic Readout
We investigate a highly multiplexing readout for depth-of-interaction (DOI) and time-of-flight PET detector consisting of ...
Performance Comparison of DOI-Encoding PET Detectors Based on 1.1-mm Pitch BGO Arrays With Different Reflectors
Performance Comparison of DOI-Encoding PET Detectors Based on 1.1-mm Pitch BGO Arrays With Different Reflectors
Bismuth germanate (BGO)-based positron emission tomography (PET) detectors are potential candidates for low-dose imaging P...
Axial Consistent Memory GAN With Interslice Consistency Loss for Low Dose Computed Tomography Image Denoising
Axial Consistent Memory GAN With Interslice Consistency Loss for Low Dose Computed Tomography Image Denoising
Degradation of the diagnostic quality of Low Dose CT (LDCT) due to noise is a major bottleneck that hinders the widespread...
RegFormer: A Local–Nonlocal Regularization-Based Model for Sparse-View CT Reconstruction
RegFormer: A Local–Nonlocal Regularization-Based Model for Sparse-View CT Reconstruction
Sparse-view computed tomography (CT) is one of the primal means to reduce radiation risk. However, the reconstruction of s...
Generative Modeling in Sinogram Domain for Sparse-View CT Reconstruction
Generative Modeling in Sinogram Domain for Sparse-View CT Reconstruction
The radiation dose in computed tomography (CT) examinations is harmful for patients but can be significantly reduced by in...
Systematic Review on Learning-Based Spectral CT
Systematic Review on Learning-Based Spectral CT
Spectral computed tomography (CT) has recently emerged as an advanced version of medical CT and significantly improves con...
A Review of Deep Learning CT Reconstruction From Incomplete Projection Data
A Review of Deep Learning CT Reconstruction From Incomplete Projection Data
Computed tomography (CT) is a widely used imaging technique in both medical and industrial applications. However, accurate...
Uconnect: Synergistic Spectral CT Reconstruction With U-Nets Connecting the Energy Bins
Uconnect: Synergistic Spectral CT Reconstruction With U-Nets Connecting the Energy Bins
Spectral computed tomography (CT) offers the possibility to reconstruct attenuation images at different energy levels, whi...
Rotational Augmented Noise2Inverse for Low-Dose Computed Tomography Reconstruction
Rotational Augmented Noise2Inverse for Low-Dose Computed Tomography Reconstruction
In this work, we present a novel self-supervised method for low-dose computed tomography (LDCT) reconstruction. Reducing t...
CT Image Denoising and Deblurring With Deep Learning: Current Status and Perspectives
CT Image Denoising and Deblurring With Deep Learning: Current Status and Perspectives
This article reviews the deep learning methods for computed tomography image denoising and deblurring separately and simul...
2-D Slice-Driven Physics-Based 3-D Motion Estimation Framework for Pancreatic Radiotherapy
2-D Slice-Driven Physics-Based 3-D Motion Estimation Framework for Pancreatic Radiotherapy
Pancreatic diseases are difficult to treat with high doses of radiation, as they often present both periodic and aperiodic...
Discrete Wavelet Transformation for the Sensitive Detection of Ultrashort Radiation Pulse With Radiation-Induced Acoustics
Discrete Wavelet Transformation for the Sensitive Detection of Ultrashort Radiation Pulse With Radiation-Induced Acoustics
Radiation-induced acoustics (RIA) shows promise in advancing radiological imaging and radiotherapy dosimetry methods. Howe...
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