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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...
Cross-Tracer and Cross-Scanner Transfer Learning-Based Attenuation Correction for Brain SPECT
Cross-Tracer and Cross-Scanner Transfer Learning-Based Attenuation Correction for Brain SPECT
This study aims to investigate robust attenuation correction (AC) by generating attenuation maps $(\mu $ -maps) from non...
PBPK-Adapted Deep Learning for Pretherapy Prediction of Voxelwise Dosimetry: In-Silico Proof of Concept
PBPK-Adapted Deep Learning for Pretherapy Prediction of Voxelwise Dosimetry: In-Silico Proof of Concept
Pretherapy dosimetry prediction is a prerequisite for treatment planning and personalized optimization of the emerging rad...
Comparison of Timing Measurement Methods of Dual-Ended Readout Scintillator Array PET Detectors
Comparison of Timing Measurement Methods of Dual-Ended Readout Scintillator Array PET Detectors
The main focus of this work is to compare different timing measurement methods of individual silicon photomultiplier (SiPM...
A Multiscale Spatial Transformer U-Net for Simultaneously Automatic Reorientation and Segmentation of 3-D Nuclear Cardiac Images
A Multiscale Spatial Transformer U-Net for Simultaneously Automatic Reorientation and Segmentation of 3-D Nuclear Cardiac Images
Accurate reorientation and segmentation of the left ventricular (LV) is essential for the quantitative analysis of myocard...
Context-Aware Transformer GAN for Direct Generation of Attenuation and Scatter Corrected PET Data
Context-Aware Transformer GAN for Direct Generation of Attenuation and Scatter Corrected PET Data
We present a context-aware generative deep learning framework to produce photon attenuation and scatter corrected (ASC) po...
Emphasizing Cherenkov Photons From Bismuth Germanate by Single Photon Response Deconvolution
Emphasizing Cherenkov Photons From Bismuth Germanate by Single Photon Response Deconvolution
Bismuth germanate (BGO) has been receiving attention again because it is a potential scintillator for future time-of-fligh...
Experimental Uses of Positronium and Potential for Biological Applications
Experimental Uses of Positronium and Potential for Biological Applications
Positrons are widely used in molecular imaging through the positron emission tomography (PET) imaging technique. However P...
Antibiofilm Efficacies of Direct and Remote Plasmas and Plasma-Treated Water on Extremophile Halomonas Caseinilytica
Antibiofilm Efficacies of Direct and Remote Plasmas and Plasma-Treated Water on Extremophile Halomonas Caseinilytica
In this study, three plasma treatments on biofilm forms of Halomonas caseinilytica (an extremophile organism) i.e., direct...
Stability of Radiomic Models and Strategies to Enhance Reproducibility
Stability of Radiomic Models and Strategies to Enhance Reproducibility
Radiomics is a progressive field aiming to quantitatively assess the diversity within and between tumors using image analy...
Technological Developments and Future Perspectives in Particle Therapy: A Topical Review
Technological Developments and Future Perspectives in Particle Therapy: A Topical Review
In the last decades, important technological progress has been made to enhance the quality and efficiency of particle ther...
Semi-Monolithic Meta-Scintillator Simulation Proof-of-Concept, Combining Accurate DOI and TOF
Semi-Monolithic Meta-Scintillator Simulation Proof-of-Concept, Combining Accurate DOI and TOF
In this study, we propose and examine a unique semimonolithic metascintillator (SMMS) detector design, where slow scintill...
A Parametric Physical Model-Based X-Ray Spectrum Estimation Approach for CT Imaging
A Parametric Physical Model-Based X-Ray Spectrum Estimation Approach for CT Imaging
X-ray spectrum plays an essential role in CT applications. Since it is difficult to measure X-ray spectrum directly in pra...
A High-Resolution Portable Gamma-Camera for Estimation of Absorbed Dose in Molecular Radiotherapy
A High-Resolution Portable Gamma-Camera for Estimation of Absorbed Dose in Molecular Radiotherapy
Molecular radiotherapy is a treatment modality that requires personalized dosimetry for efficient treatment and reduced to...
Implementing an Integrated Neural Network for Real-Time Position Reconstruction in Emission Tomography With Monolithic Scintillators
Implementing an Integrated Neural Network for Real-Time Position Reconstruction in Emission Tomography With Monolithic Scintillators
Embedding signal processing in the front-end of radiation detectors represents an approach to cope with the growing comple...
Medical Multimodal Image Transformation With Modality Code Awareness
Medical Multimodal Image Transformation With Modality Code Awareness
In the planning phase of radiation therapy, positron emission tomography (PET) images are frequently integrated with compu...
Two-Stage Deep Denoising With Self-Guided Noise Attention for Multimodal Medical Images
Two-Stage Deep Denoising With Self-Guided Noise Attention for Multimodal Medical Images
Medical image denoising is considered among the most challenging vision tasks. Despite the real-world implications, existi...
PET Detectors Based on Multi-Resolution SiPM Arrays
PET Detectors Based on Multi-Resolution SiPM Arrays
Almost all high spatial resolution positron emission tomography (PET) detectors based on pixelated scintillator arrays uti...
IEEE Nuclear Science Symposium
IEEE Nuclear Science Symposium
IEEE Xplore, delivering full text access to the world's highest quality technical literature in engineering and technology...
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...
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