ArticleEuropean journal of nuclear medicine and molecular imaging2022
Comparison of deep learning-based emission-only attenuation correction methods for positron emission tomography.
Article in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 23 citations in OpenAlex.
- Generalizable CT-free PET attenuation and scatter correction via few-shot cross domain adaptation.NPJ digital medicine · 2026Article
- Preclinical evaluation of 64Cu/177Lu-labelled anti-CD30 monoclonal antibody for theranostics in CD30-positive lymphoma.European journal of nuclear medicine and molecular imaging · 2025Article
- POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation.IEEE transactions on medical imaging · 2025Article
- CT-Free Attenuation Correction in Paediatric Long Axial Field-of-View Positron Emission Tomography Using Synthetic CT from Emission Data.Diagnostics (Basel, Switzerland) · 2024Article
- Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET.EJNMMI physics · 2024Article
- A Review of Machine Learning Approaches for Brain Positron Emission Tomography Data Analysis.Nuclear medicine and molecular imaging · 2024Review
- A review of PET attenuation correction methods for PET-MR.EJNMMI physics · 2023Review
- CT-free quantitative SPECT for automatic evaluation of %thyroid uptake based on deep-learning.EJNMMI physics · 2023Article
- Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning.European journal of nuclear medicine and molecular imaging · 2023Article
- Deep Learning-Based Image Quality Improvement in Digital Positron Emission Tomography for Breast Cancer.Diagnostics (Basel, Switzerland) · 2023Article
- Contemporary Role and Applications of Artificial Intelligence in Dentistry.F1000Research · 2023Review
- HMGB1 induces radioresistance through PI3K/AKT/ATM pathway in esophageal squamous cell carcinoma.Molecular biology reports · 2022Article
- Quantitative evaluation of a deep learning-based framework to generate whole-body attenuation maps using LSO background radiation in long axial FOV PET scanners.European journal of nuclear medicine and molecular imaging · 2022Article
- Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction.Nature communications · 2022Article
- Spatial normalization and quantification approaches of PET imaging for neurological disorders.European journal of nuclear medicine and molecular imaging · 2022Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 3 countries.
Funding
Abstract
purposeThis study aims to compare two approaches using only emission PET data and a convolution neural network (CNN) to correct the attenuation (μ) of the annihilation photons in PET.
methodsOne of the approaches uses a CNN to generate μ-maps from the non-attenuation-corrected (NAC) PET images (μ-CNN
resultsThe error of the attenuation correction factors estimated using μ-CT and μ-CNN
conclusionThe use of CNN
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.