ArticleIEEE transactions on radiation and plasma medical sciences2025
A statistical reconstruction algorithm for positronium lifetime imaging using time-of-flight positron emission tomography.
Article in IEEE transactions on radiation and plasma medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- First ex-vivo positronium imaging of tissues with modular J-PET scanner usingZeitschrift fur medizinische Physik · 2026Article
- First positronium lifetime imaging usingScientific reports · 2026Article
- Realistic total-body J-PET geometry optimization: Monte Carlo study.Medical physics · 2025Article
- A statistical reconstruction algorithm for positronium lifetime imaging using time-of-flight positron emission tomography.IEEE transactions on radiation and plasma medical sciences · 2025Article
- First positronium lifetime imaging with scandium-44 on a long axial field-of-view PET/CT.Frontiers in nuclear medicine · 2025Article
- High-resolution positronium lifetime tomography by the method of moments.Physics in medicine and biology · 2024Article
- Positronium image of the human brain in vivo.Science advances · 2024Article
- Enhanced positronium lifetime imaging through two-component reconstruction in time-of-flight positron emission tomography.Frontiers in physics · 2024Article
- Developing a novel positronium biomarker for cardiac myxoma imaging.EJNMMI physics · 2023Article
- The properties of the positronium lifetime image reconstruction based on maximum likelihood estimation.Bio-algorithms and med-systems · 2023Article
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6 authors.
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Abstract
Positron emission tomography (PET) is an important modality for diagnosing diseases such as cancer and Alzheimer's disease, capable of revealing the uptake of radiolabeled molecules that target specific pathological markers of the diseases. Recently, positronium lifetime imaging (PLI) that adds to traditional PET the ability to explore properties of the tissue microenvironment beyond tracer uptake has been demonstrated with time-of-flight (TOF) PET and the use of non-pure positron emitters. However, achieving accurate reconstruction of lifetime images from data acquired by systems having a finite TOF resolution still presents a challenge. This paper focuses on the two-dimensional PLI, introducing a maximum likelihood estimation (MLE) method that employs an exponentially modified Gaussian (EMG) probability distribution that describes the positronium lifetime data produced by TOF PET. We evaluate the performance of our EMG-based MLE method against approaches using exponential likelihood functions and penalized surrogate methods. Results from computer-simulated data reveal that the proposed EMG-MLE method can yield quantitatively accurate lifetime images. We also demonstrate that the proposed MLE formulation can be extended to handle PLI data containing multiple positron populations.
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