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Investigating the Role of Active Air Ions and Hydroxyl Radicals on the Eradication of ESKAPE Bacteria Using Non-Equilibrium Atmospheric Air Cold Plasma
Investigating the Role of Active Air Ions and Hydroxyl Radicals on the Eradication of ESKAPE Bacteria Using Non-Equilibrium Atmospheric Air Cold Plasma
Multidrug-resistant bacteria are becoming more common in clinical settings and are posing an increasing threat to hospital...
Semi-Supervised 3-D Medical Image Segmentation Using Multiconsistency Learning With Fuzzy Perception-Guided Target Selection
Semi-Supervised 3-D Medical Image Segmentation Using Multiconsistency Learning With Fuzzy Perception-Guided Target Selection
Semi-supervised learning methods based on the mean teacher model have achieved great success in the field of 3-D medical i...
A New Ensemble Transfer Learning Approach With Rejection Mechanism for Tuberculosis Disease Detection
A New Ensemble Transfer Learning Approach With Rejection Mechanism for Tuberculosis Disease Detection
Transfer learning (TL) is a strategic solution to handle vast data volume requirements in deep learning (DL). It transfers...
Demonstration of LGADs and Cherenkov Gamma Detectors for Prompt Gamma Timing Proton Therapy Range Verification
Demonstration of LGADs and Cherenkov Gamma Detectors for Prompt Gamma Timing Proton Therapy Range Verification
The great potential for precision dose delivery with proton therapy remains to be fully exploited, largely due to uncertai...
Development and Performance Optimization of a Multiplexed DOI-Encoding PET Detector Using the TOFPET2 ASIC
Development and Performance Optimization of a Multiplexed DOI-Encoding PET Detector Using the TOFPET2 ASIC
Depth-of-interaction (DOI) positron emission tomography (PET) detectors are essential in high-resolution small animal PET....
Progressively Prompt-Guided Models for Sparse-View CT Reconstruction
Progressively Prompt-Guided Models for Sparse-View CT Reconstruction
While sparse-view computed tomography (CT) remarkably reduces the ionizing radiation dose, the reconstructed images have b...
Genotype Characterization in Primary Brain Gliomas via Unsupervised Clustering of Dynamic PET Imaging of Short-Chain Fatty Acid Metabolism
Genotype Characterization in Primary Brain Gliomas via Unsupervised Clustering of Dynamic PET Imaging of Short-Chain Fatty Acid Metabolism
The impact of genetics on the diagnosis, treatment, and survival outcomes for patients with brain glioma is significant. A...
Enhanced Risk Stratification of Gastrointestinal Stromal Tumors Through Cross-Modality Synthesis from CT to [¹⁸F]-FDG PET Images
Enhanced Risk Stratification of Gastrointestinal Stromal Tumors Through Cross-Modality Synthesis from CT to [¹⁸F]-FDG PET Images
Risk stratification algorithms for gastrointestinal stromal tumors (GISTs) are mainly based on computed tomography (CT) da...
ConvNeXt-2U: A 3-D Deep Learning-Based Segmentation Model for Unified and Automatic Segmentation of Lungs, Normal Liver and Tumors in Y-90 Radioembolization Dosimetry
ConvNeXt-2U: A 3-D Deep Learning-Based Segmentation Model for Unified and Automatic Segmentation of Lungs, Normal Liver and Tumors in Y-90 Radioembolization Dosimetry
Y-90 radioembolization (RE) is an effective treatment for inoperable liver tumors. Pretreatment planning using Tc-99m-macr...
Timing Performance With Broadcom Metal Trench Silicon Photomultipliers
Timing Performance With Broadcom Metal Trench Silicon Photomultipliers
Single photon time resolution (SPTR), photon detection efficiency (PDE), and correlated noise rate are important performan...
D3Net: A Distribution-Driven Deep Network for Radiotherapy Dose Prediction
D3Net: A Distribution-Driven Deep Network for Radiotherapy Dose Prediction
Radiotherapy is a primary treatment for cancers to apply sufficient radiation dose to the planning target volume (PTV) whi...
Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic Model
Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic Model
Anatomically guided positron emission tomography (PET) reconstruction using magnetic resonance imaging (MRI) information h...
A Statistical Reconstruction Algorithm for Positronium Lifetime Imaging Using Time-of-Flight Positron Emission Tomography
A Statistical Reconstruction Algorithm for Positronium Lifetime Imaging Using Time-of-Flight Positron Emission Tomography
Positron emission tomography (PET) is an important modality for diagnosing diseases, such as cancer and Alzheimer’s diseas...
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Dual-Ended Readout PET Detector Based on Multivoltage Threshold Sampling Combined With Convolutional Neural Network for Energy Calculation
Dual-Ended Readout PET Detector Based on Multivoltage Threshold Sampling Combined With Convolutional Neural Network for Energy Calculation
To minimize parallax errors and achieve high spatial resolution positron emission tomography (PET) systems, developing dep...
Intercrystal Optical Crosstalk in Radiation Detectors: Monte Carlo Modeling and Experimental Validation
Intercrystal Optical Crosstalk in Radiation Detectors: Monte Carlo Modeling and Experimental Validation
High-performance radiation detectors often employ crystal arrays where light can leak between them, a phenomenon called in...
Deep-Learning-Based Cross-Modality Striatum Segmentation for Dopamine Transporter SPECT in Parkinson’s Disease
Deep-Learning-Based Cross-Modality Striatum Segmentation for Dopamine Transporter SPECT in Parkinson’s Disease
Striatum segmentation on dopamine transporter (DaT) SPECT is necessary to quantify striatal uptake for Parkinson’s disease...
Comparative Analysis of Data Acquisition Setups for Fast Timing in ToF-PET Applications
Comparative Analysis of Data Acquisition Setups for Fast Timing in ToF-PET Applications
The signal-to-noise ratio in positron emission tomography (PET) improves with precise timing resolution. PET systems enabl...
Building a Kinetic Induced Voxel-Clustering Filter (KVCF) for Low-Dose Perfusion CT Imaging
Building a Kinetic Induced Voxel-Clustering Filter (KVCF) for Low-Dose Perfusion CT Imaging
Dynamic cerebral perfusion CT (PCT) is an effective imaging technique for the clinical diagnosis and therapy guidance of m...
Temporal Image Sequence Separation in Dual-Tracer Dynamic PET With an Invertible Network
Temporal Image Sequence Separation in Dual-Tracer Dynamic PET With an Invertible Network
Positron emission tomography (PET) is a widely used functional imaging technique in clinic. Compared to single-tracer PET,...
Pyramid Convolutional Recurrent Network for Serial Medical Image Registration With Adaptive Motion Regularizations
Pyramid Convolutional Recurrent Network for Serial Medical Image Registration With Adaptive Motion Regularizations
Objective: Serial medical image registration plays an important role in radiation therapy treatment planning. However, cur...
Performance Evaluation of a Mobile Digital Tomosynthesis System Using a Moving CNT-Based Tube Array for Extremity Scans
Performance Evaluation of a Mobile Digital Tomosynthesis System Using a Moving CNT-Based Tube Array for Extremity Scans
Digital tomosynthesis (DTS) can enhance diagnostic accuracy by providing 3-D volume images with a remarkably low-X-ray dos...
First Results of the 4D-PET Brain System
First Results of the 4D-PET Brain System
Positron emission tomography (PET) imaging is the molecular technique of choice for studying many illnesses, including the...
PPFM: Image Denoising in Photon-Counting CT Using Single-Step Posterior Sampling Poisson Flow Generative Models
PPFM: Image Denoising in Photon-Counting CT Using Single-Step Posterior Sampling Poisson Flow Generative Models
Diffusion and Poisson flow models have shown impressive performance in a wide range of generative tasks, including low-dos...
Toward Sub-100 ps TOF-PET Systems Employing the FastIC ASIC With Analog SiPMs
Toward Sub-100 ps TOF-PET Systems Employing the FastIC ASIC With Analog SiPMs
Time of Flight positron emission tomography (TOF-PET) scanners demand electronics that are power-efficient, low-noise, cos...
Co-Learning Multimodality PET-CT Features via a Cascaded CNN-Transformer Network
Co-Learning Multimodality PET-CT Features via a Cascaded CNN-Transformer Network
Background: Automated segmentation of multimodality positron emission tomography—computed tomography (PET-CT) data is a ma...
Activity Alterations of 37 Tyrosine Kinase Inhibitors Upon kINPen Plasma Exposure in A549 Lung Cancer Cells
Activity Alterations of 37 Tyrosine Kinase Inhibitors Upon kINPen Plasma Exposure in A549 Lung Cancer Cells
Cold physical plasma shows promising preclinical results as an anticancer strategy. The technology generates a variety of ...
Simulation Study of Clinical PET Scanners With Different Geometries, Including TOF and DOI Capabilities
Simulation Study of Clinical PET Scanners With Different Geometries, Including TOF and DOI Capabilities
Total body positron emission tomography (TB-PET) scanners provide high-quality images due to the large sensitivity. Our mo...
The Software System of a Dedicated Brain PET Scanner Using Dual-Ended Readout Detectors With High-DOI Resolution
The Software System of a Dedicated Brain PET Scanner Using Dual-Ended Readout Detectors With High-DOI Resolution
A dedicated brain positron emission tomography (PET) scanner can achieve higher-spatial resolution, sensitivity, and cost-...
Attenuation Correction of the Cerebellum in PET/MR Data
Attenuation Correction of the Cerebellum in PET/MR Data
Attenuation correction (AC) is essential for achieving artefact-free PET/MR images. Many PET studies use the cerebellum as...
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