Back to search

Article

Can a penalized-likelihood estimation algorithm be used to reduce the injected dose or the acquisition time in 68Ga-DOTATATE PET/CT studies?

2021-01-18

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Image quality and quantitative accuracy of Positron Emission Tomography (PET) depend on several factors such as uptake time, scanner characteristics and image reconstruction methods. Ordered subset expectation maximization (OSEM) is considered the gold standard for image reconstruction. Penalized-likelihood estimation (PL) algorithms have been recently developed...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
ec5aeb81-8396-593e-ab34-edb2a5f0ff20
DOI
10.21203/rs.3.rs-34588/v4
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Can a penalized-likelihood estimation algorithm be used to reduce the injected dose or the acquisition time in&nbsp;68Ga-DOTATATE PET/CT studies?DOI 10.21203/rs.3.rs-34588/v4
Y-90 PET/MR imaging optimization with a Bayesian Penalized Likelihood reconstruction algorithmSemantic proximity
Optimization of Q.Clear reconstruction for dynamic 18F PET imagingSemantic proximity
Exploration of Optimal Reconstruction Parameters for 18F-FDG Total-body PET/CT with Ultra-low Activity InjectionSemantic proximity
Bias Evaluation and Reduction in 3D OP-OSEM Reconstruction in Dynamic Equilibrium PET StudiesSemantic proximity
Comparison of Image Quality and Spatial Resolution Between 18F, 68Ga and 64Cu Phantom Measurements Using a Digital Biograph Vision PET/CTSemantic proximity
Evaluation of Quantitative 68Ga-PSMA PET/CT Repeatability of Recurrent Prostate Cancer Lesions Using Both Standard and Bayesian Penalized Likelihood Reconstruction AlgorithmsSemantic proximity
Can a Deep Progressive Learning Method Help to Achieve High Image Quality as Total-body PET Imaging?Semantic proximity
Estimation of Kinetic Parameters in Dynamic FDG PET Imaging Based on Shortened Protocols Using Simulated Annealing Method : A virtual clinical studySemantic proximity
Optimisation and assessment techniques for clinical PET reconstructionSemantic proximity
Phantom and clinical evaluation of bone SPECT/CT image reconstruction with xSPECT algorithmSemantic proximity
Accuracy and uncertainty analysis of reduced time point imaging effect on time-integrated activity for 177Lu-DOTATATE PRRT in clinical patients and realistic simulationsSemantic proximity
Analysis of image data from the EuroNet PHL-C2 trial indicates a potential reduction in injected F-18 FDG activities in children: A proposal to update the EANM Paediatric Dosage CardSemantic proximity
Select a neighboring publication to make it the new centre.