AIMC Topic: Radioactive Tracers

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Robust and generalizable artificial intelligence for multi-organ segmentation in ultra-low-dose total-body PET imaging: a multi-center and cross-tracer study.

European journal of nuclear medicine and molecular imaging Feb 19, 2025
PURPOSE: Positron Emission Tomography (PET) is a powerful molecular imaging tool that visualizes radiotracer distribution to reveal physiological processes. Recent advances in total-body PET have enabled low-dose, CT-free imaging; however, accurate o...
Humans Artificial Intelligence Female Male Retrospective Studies Radiation Dosage Radioactive Tracers Whole Body Imaging Image Processing, Computer-Assisted Positron-Emission Tomography Deep Learning
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Deep learning-based time-of-flight (ToF) enhancement of non-ToF PET scans for different radiotracers.

European journal of nuclear medicine and molecular imaging Feb 18, 2025
AIM: To evaluate a deep learning-based time-of-flight (DLToF) model trained to enhance the image quality of non-ToF PET images for different tracers, reconstructed using BSREM algorithm, towards ToF images.
Deep Learning Time Factors Humans Positron-Emission Tomography Radioactive Tracers Image Processing, Computer-Assisted Radiopharmaceuticals
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Tracer-Separator: A Deep Learning Model for Brain PET Dual-Tracer ( 18 F-FDG and Amyloid) Separation.

Clinical nuclear medicine Oct 29, 2024
INTRODUCTION: Multiplexed PET imaging revolutionized clinical decision-making by simultaneously capturing various radiotracer data in a single scan, enhancing diagnostic accuracy and patient comfort. Through a transformer-based deep learning, this st...
Radioactive Tracers Positron-Emission Tomography Fluorodeoxyglucose F18 Amyloid Deep Learning Image Processing, Computer-Assisted Middle Aged Female Brain Male Aged Humans
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Deep learning-based attenuation correction for brain PET with various radiotracers.

Annals of nuclear medicine Apr 3, 2021
OBJECTIVES: Attenuation correction (AC) is crucial for ensuring the quantitative accuracy of positron emission tomography (PET) imaging. However, obtaining accurate μ-maps from brain-dedicated PET scanners without AC acquisition mechanism is challeng...
Deep Learning Radiopharmaceuticals Image Processing, Computer-Assisted Humans Brain Radioactive Tracers Positron-Emission Tomography
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Synthesis of Patient-Specific Transmission Data for PET Attenuation Correction for PET/MRI Neuroimaging Using a Convolutional Neural Network.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Aug 30, 2018
Attenuation correction is a notable challenge associated with simultaneous PET/MRI, particularly in neuroimaging, where sharp boundaries between air and bone volumes exist. This challenge leads to concerns about the visual and, more specifically, qua...
Radioactive Tracers Piperazines Aniline Compounds Image Processing, Computer-Assisted Multimodal Imaging Pyridines Magnetic Resonance Imaging Sulfides Neural Networks, Computer Positron-Emission Tomography Neuroimaging Humans Retrospective Studies
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