SCI时时刷

search
Structure-Enhanced Unsupervised Domain Adaptation for CT Whole-Brain Segmentation
Structure-Enhanced Unsupervised Domain Adaptation for CT Whole-Brain Segmentation
Early and accurate identification of intracranial hemorrhage (ICH) is crucial for treatment, but the inherently low-contra...
Analyze Methodology of ToF Spectrum on Cherenkov and Scintillation Emission in BGO Scintillator
Analyze Methodology of ToF Spectrum on Cherenkov and Scintillation Emission in BGO Scintillator
A time-of-flight (ToF) spectrum model has been developed to quantitatively understand the emission sequences in realistic ...
One-Sample Diffusion Modeling in Projection Domain for Low-Dose CT Imaging
One-Sample Diffusion Modeling in Projection Domain for Low-Dose CT Imaging
Low-dose computed tomography (CT) is crucial in clinical applications for reducing radiation risks. However, lowering the ...
Data Augmentation Using the Hierarchical Encoding of Deformation Fields Between CT Images
Data Augmentation Using the Hierarchical Encoding of Deformation Fields Between CT Images
The field of medical machine learning has encountered the challenge of constructing a large-scale image database that incl...
Effects of List-Mode-Based Intraframe Motion Correction in Dynamic Brain PET Imaging
Effects of List-Mode-Based Intraframe Motion Correction in Dynamic Brain PET Imaging
Motion is unavoidable in dynamic [18F]-MK6240 positron emission tomography (PET) imaging, especially in Alzheimer’s diseas...
Detector Characterization of a High-Resolution Ring for PET Imaging of Mice Heads With Sub-200-ps TOF
Detector Characterization of a High-Resolution Ring for PET Imaging of Mice Heads With Sub-200-ps TOF
Positron emission tomography (PET) stands out as a highly specific molecular imaging technique. However, its detection sen...
Deep Convolutional Backbone Comparison for Automated PET Image Quality Assessment
Deep Convolutional Backbone Comparison for Automated PET Image Quality Assessment
Pretraining deep convolutional network mappings using natural images helps with medical imaging analysis tasks; this is im...
Deep Learning-Based Fast Volumetric Image Generation for Image-Guided Proton Radiotherapy
Deep Learning-Based Fast Volumetric Image Generation for Image-Guided Proton Radiotherapy
Very fast imaging techniques can enhance the precision of image-guided radiation therapy, which can be useful for external...
Experimental Measurement of Secondary Particle Count for Real-Time Proton Range Verification
Experimental Measurement of Secondary Particle Count for Real-Time Proton Range Verification
The real-time positioning of the particle beam range during treatment is a critical technology for improving the quality o...
Three-Gamma Imaging in Nuclear Medicine: A Review
Three-Gamma Imaging in Nuclear Medicine: A Review
Three-gamma imaging is attracting attention as a futuristic diagnostic imaging method that surpasses positron emission tom...
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,...
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...
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...
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...