Dual-Tracer PET Image Separation by Deep Learning: A Simulation Study
Multiplexed positron emission tomography (PET) imaging provides perfectly registered simultaneous functional and molecular imaging of more than one biomarker. However, the separation of the multiplexed PET signals within a single PET scan is challenging due to the fact that all PET tracers emit posi...
Main Authors: | Bolin Pan, Paul K. Marsden, Andrew J. Reader |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/7/4089 |
Similar Items
-
Direct reconstruction for simultaneous dual-tracer PET imaging based on multi-task learning
by: Fuzhen Zeng, et al.
Published: (2023-01-01) -
Dual-Tracer PET-MRI-Derived Imaging Biomarkers for Prediction of Clinically Significant Prostate Cancer
by: Bernhard Grubmüller, et al.
Published: (2023-01-01) -
Deep learned triple-tracer multiplexed PET myocardial image separation
by: Bolin Pan, et al.
Published: (2024-04-01) -
Update on PET Tracer Development for Muscarinic Acetylcholine Receptors
by: Marius Ozenil, et al.
Published: (2021-06-01) -
Microfluidics: A Groundbreaking Technology for PET Tracer Production?
by: Björn Wängler, et al.
Published: (2013-07-01)