Technical Note: A preliminary study of dual-tracer PET image reconstruction guided by FDG and/or MR kernels.
Sign Up to like & getrecommendations! Published in 2021 at "Medical physics"
DOI: 10.1002/mp.15089
Abstract: PURPOSE Clinically, single radiotracer positron emission tomography (PET) imaging is a commonly used examination method; however, since each radioactive tracer reflects the information of only one kind of cell, it easily causes false negatives or… read more here.
Keywords: reconstruction; image; pet image; method ... See more keywords
A review on AI in PET imaging
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DOI: 10.1007/s12149-021-01710-8
Abstract: Artificial intelligence (AI) has been applied to various medical imaging tasks, such as computer-aided diagnosis. Specifically, deep learning techniques such as convolutional neural network (CNN) and generative adversarial network (GAN) have been extensively used for… read more here.
Keywords: image; image generation; deep learning; pet image ... See more keywords
Dynamic PET image reconstruction incorporating a median nonlocal means kernel method
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.104713
Abstract: Abstract In dynamic positron emission tomography (PET) imaging, the reconstructed image of a single frame often exhibits high noise due to limited counting statistics of projection data. This study proposed a median nonlocal means (MNLM)-based… read more here.
Keywords: median nonlocal; pet image; method; kernel method ... See more keywords
[OA143] Application of new algorithms in PET image reconstruction: Preliminary results
Sign Up to like & getrecommendations! Published in 2018 at "Physica Medica"
DOI: 10.1016/j.ejmp.2018.06.215
Abstract: Purpose Important advancements have been made in PET image reconstruction algorithms, among the newest modelling of the point spread function (PSF) and noise statistics modelling (NSM) can be accounted for. Quantitative results of the application… read more here.
Keywords: reconstruction; pet image; algorithms; image reconstruction ... See more keywords
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis
Sign Up to like & getrecommendations! Published in 2022 at "Medical image analysis"
DOI: 10.1016/j.media.2021.102335
Abstract: Positron emission tomography (PET) is a typical nuclear imaging technique, which can provide crucial functional information for early brain disease diagnosis. Generally, clinically acceptable PET images are obtained by injecting a standard-dose radioactive tracer into… read more here.
Keywords: adaptive rectification; image; high quality; pet image ... See more keywords
FDG PET/CT Image of Seminoma in Androgen Insensitivity Syndrome.
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DOI: 10.1097/rlu.0000000000001722
Abstract: We report the FDG PET/CT findings of seminoma in a 21-year-old woman with androgen insensitivity syndrome. PET images showed focal FDG uptake in the left pelvic sidewall, and a hypodense lesion with calcifications was noted… read more here.
Keywords: androgen insensitivity; insensitivity syndrome; pet image; fdg pet ... See more keywords
Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework.
Sign Up to like & getrecommendations! Published in 2022 at "Clinical nuclear medicine"
DOI: 10.1097/rlu.0000000000004194
Abstract: PURPOSE The generalizability and trustworthiness of deep learning (DL)-based algorithms depend on the size and heterogeneity of training datasets. However, because of patient privacy concerns and ethical and legal issues, sharing medical images between different… read more here.
Keywords: image segmentation; pet image; segmentation; framework ... See more keywords
Unsupervised 3D PET-CT Image Registration Method Using a Metabolic Constraint Function and a Multi-Domain Similarity Measure
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2984804
Abstract: High-resolution CT images can clearly display anatomical structures but does not display functional information, while blurred PET images can display molecular and functional information of lesions but cannot clearly display morphological structures. Therefore, accurate PET-CT… read more here.
Keywords: domain similarity; registration; similarity; pet image ... See more keywords
Penalized-Likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2020.3042907
Abstract: Positron emission tomography (PET) is widely used for clinical diagnosis. As PET suffers from low resolution and high noise, numerous efforts try to incorporate anatomical priors into PET image reconstruction, especially with the development of… read more here.
Keywords: image reconstruction; pet csc; sparse coding; pet image ... See more keywords
List-Mode PET Image Reconstruction Using Deep Image Prior
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2023.3239596
Abstract: List-mode positron emission tomography (PET) image reconstruction is an important tool for PET scanners with many lines-of-response and additional information such as time-of-flight and depth-of-interaction. Deep learning is one possible solution to enhance the quality… read more here.
Keywords: list; list mode; pet image; reconstruction ... See more keywords
PET image enhancement using artificial intelligence for better characterization of epilepsy lesions
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2022.1042706
Abstract: Introduction [18F]fluorodeoxyglucose ([18F]FDG) brain PET is used clinically to detect small areas of decreased uptake associated with epileptogenic lesions, e.g., Focal Cortical Dysplasias (FCD) but its performance is limited due to spatial resolution and low… read more here.
Keywords: quality; pet; pet image; activity ... See more keywords