ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2018
Joint Reconstruction of Activity and Attenuation in Time-of-Flight PET: A Quantitative Analysis.
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Eagle eyes on the human brain and beyond: PET at ultra-high spatial resolution.European journal of nuclear medicine and molecular imaging · 2026Article
- An Investigation on Cross-Tracer Generalizability of Deep Learning-based PET Attenuation Correction.IEEE transactions on radiation and plasma medical sciences · 2025Article
- Effects of a deep learning-based image quality enhancement method on a digital-BGO PET/CT system forEJNMMI physics · 2025Article
- Deep-learning-based attenuation map generation in kidney single photon emission computed tomography.EJNMMI physics · 2024Article
- Supplemental Transmission Aided Attenuation Correction for Quantitative Cardiac PET.IEEE transactions on medical imaging · 2024Article
- A review of PET attenuation correction methods for PET-MR.EJNMMI physics · 2023Review
- Synthetic PET via Domain Translation of 3-D MRI.IEEE transactions on radiation and plasma medical sciences · 2023Article
- A quantitative clinical evaluation of simultaneous reconstruction of attenuation and activity in time-of-flight PET.BMC medical imaging · 2023Article
- Deep learning-based attenuation correction for whole-body PET - a multi-tracer study withEuropean journal of nuclear medicine and molecular imaging · 2022Article
- Data-driven gated CT: An automated respiratory gating method to enable data-driven gated PET/CT.Medical physics · 2022Article
- MRI-guided attenuation correction in torso PET/MRI: Assessment of segmentation-, atlas-, and deep learning-based approaches in the presence of outliers.Magnetic resonance in medicine · 2022Article
- Pitfalls on PET/CT Due to Artifacts and Instrumentation.Seminars in nuclear medicine · 2021Review
- Time of Flight in Perspective: Instrumental and Computational Aspects of Time Resolution in Positron Emission Tomography.IEEE transactions on radiation and plasma medical sciences · 2021Article
- Deep learning-based T1-enhanced selection of linear attenuation coefficients (DL-TESLA) for PET/MR attenuation correction in dementia neuroimaging.Magnetic resonance in medicine · 2021Article
- Quantitative PET in the 2020s: a roadmap.Physics in medicine and biology · 2021Article
- PET-enabled dual-energy CT: image reconstruction and a proof-of-concept computer simulation study.Physics in medicine and biology · 2020Article
- Deep-JASC: joint attenuation and scatter correction in whole-bodyEuropean journal of nuclear medicine and molecular imaging · 2020Article
- PET/MRI attenuation estimation in the lung: A review of past, present, and potential techniques.Medical physics · 2020Review
- Simultaneous emission and attenuation reconstruction in time-of-flight PET using a reference object.EJNMMI physics · 2020Article
- Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI.European journal of nuclear medicine and molecular imaging · 2019Article
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Authors and funding
5 authors.
Funding
Abstract
Methods for joint activity reconstruction and attenuation reconstruction of time-of-flight (TOF) PET data provide an effective solution to attenuation correction when no (or incomplete or inaccurate) information on attenuation is available. One of the main barriers limiting use of these methods in clinical practice is their lack of validation in a relatively large patient database. In this contribution, we aim to validate reconstruction performed with maximum-likelihood activity reconstruction and attenuation registration (MLRR) in a whole-body patient dataset. Furthermore, a partial validation (because the scale problem of the algorithm is avoided for now) of reconstruction performed with maximum-likelihood activity and attenuation (MLAA) is also provided. We present a quantitative comparison between these 2 methods of joint reconstruction and the current clinical gold standard, maximum-likelihood expectation maximization (MLEM) with CT-based attenuation correction.
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