ArticleEuropean journal of nuclear medicine and molecular imaging2022
Direct inference of Patlak parametric images in whole-body PET/CT imaging using convolutional neural networks.
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 12 papers.
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Who cites it
12 citing papers in PubMed.
- An artificial intelligence-driven image quality assessment system for whole-body [European journal of nuclear medicine and molecular imaging · 2023Trial
- Kinetic modeling with total body PET-current status and future applications.The British journal of radiology · 2026Review
- Deep progressive learning reconstruction for fast and low-dose whole-body PET scans in an integrated PET/MR system.BMC medical imaging · 2026Article
- Whole-Body Dynamic Positron Emission and Computed Tomography (WBD-PET/CT): Latest Developments, Challenges and Opportunities.Diagnostics (Basel, Switzerland) · 2026Review
- Optimizing acquisition time and injected dose inBMC medical informatics and decision making · 2026Article
- Feasibility of shortening theQuantitative imaging in medicine and surgery · 2026Article
- Self-supervised neural network for Patlak-based parametric imaging in dynamic [European journal of nuclear medicine and molecular imaging · 2025Article
- Bidirectional dynamic frame prediction network for total-body [EJNMMI physics · 2024Article
- The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Quantitation of dynamic total-body PET imaging: recent developments and future perspectives.European journal of nuclear medicine and molecular imaging · 2023Review
- Prognostic value of whole-body dynamicHeliyon · 2023Article
- Utility of a simplified [Frontiers in endocrinology · 2023Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study proposed and investigated the feasibility of estimating Patlak-derived influx rate constant (K
methodsWhole-body
resultsThe MRAE%, RE%, PSNR, and SSIM indices across all patients were estimated as 7.45 ± 0.94%, 4.54 ± 2.93%, 46.89 ± 2.93, and 1.00 ± 6.7 × 10
conclusionThis study concluded the feasibility of direct deep learning-based approach to estimate K
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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.