ArticleIEEE transactions on radiation and plasma medical sciences2019
Effect of PET-MR Inconsistency in the Kernel Image Reconstruction Method.
Article in IEEE transactions on radiation and plasma medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Score-based generative diffusion models to synthesize full-dose FDG brain PET from MRI in epilepsy patients.Frontiers in artificial intelligence · 2026Article
- MR-guided reconstruction of PET data in spinal cord PET/MRI.Frontiers in nuclear medicine · 2025Article
- Mixture prior distributions and Bayesian models for robust radionuclide image processing.Frontiers in nuclear medicine · 2024Article
- Triple modality image reconstruction of PET data using SPECT, PET, CT information increases lesion uptake in images of patients treated with radioembolization withEJNMMI physics · 2023Article
- Neural KEM: A Kernel Method With Deep Coefficient Prior for PET Image Reconstruction.IEEE transactions on medical imaging · 2023Article
- Investigation and optimization of PET-guided SPECT reconstructions for improved radionuclide therapy dosimetry estimates.Frontiers in nuclear medicine · 2023Article
- Hybrid kernelised expectation maximisation for Bremsstrahlung SPECT reconstruction in SIRT withEJNMMI physics · 2022Article
- Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- Improved identification of abdominal aortic aneurysm using the Kernelized Expectation Maximization algorithm.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021Article
- Theranostic SPECT reconstruction for improved resolution: application to radionuclide therapy dosimetry.EJNMMI physics · 2021Article
- Comparison of Correction Techniques for the Spill in Effect in Emission Tomography.IEEE transactions on radiation and plasma medical sciences · 2020Article
- Intercomparison of MR-informed PET image reconstruction methods.Medical physics · 2019Article
- Hybrid PET/MR Kernelised Expectation Maximisation Reconstruction for Improved Image-Derived Estimation of the Input Function from the Aorta of Rabbits.Contrast media & molecular imaging · 2019Article
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7 authors.
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Abstract
Anatomically-driven image reconstruction algorithms have become very popular in positron emission tomography (PET) where they have demonstrated improved image resolution and quantification. This work, consider the effect of spatial inconsistency between MR and PET images in hot and cold regions of the PET image. We investigate these effects on the kernel method from machine learning, in particular, the hybrid kernelized expectation maximization (HKEM). These were applied to Jaszczak phantom and patient data acquired with the Biograph Siemens mMR. The results show that even a small shift can cause a significant change in activity concentration. In general, the PET-MR inconsistencies can induce the partial volume effect, more specifically the 'spill-in' of the affected cold regions and the 'spill-out' from the hot regions. The maximum change was about 100% for the cold region and 10% for the hot lesion using KEM, against the 37% and 8% obtained with HKEM. The findings of this work suggest that including PET information in the kernel enhances the flexibility of the reconstruction in case of spatial inconsistency. Nevertheless, accurate registration and choice of the appropriate MR image for the creation of the kernel is essential to avoid artifacts, blurring, and bias.
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