ArticleMedical physics2020
Bone material analogues for PET/MRI phantoms.
Article in Medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- A two-stage PET/MRI attenuation-correction workflow for pseudo-CT and AC PET synthesis with GUI-based inference.Medical & biological engineering & computing · 2026Article
- Review of imaging test phantoms.Journal of biomedical optics · 2023Review
- Synthetic PET via Domain Translation of 3-D MRI.IEEE transactions on radiation and plasma medical sciences · 2023Article
- Multimodal phantoms for clinical PET/MRI.EJNMMI physics · 2021Review
- Attenuation correction for human PET/MRI studies.Physics in medicine and biology · 2020Article
- A realistic phantom of the human head for PET-MRI.EJNMMI physics · 2020Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
purposeTo develop bone material analogues that can be used in construction of phantoms for simultaneous PET/MRI systems.
methodsPlaster was used as the basis for the bone material analogues tested in this study. It was mixed with varying concentrations of an iodinated CT contrast, a gadolinium-based MR contrast agent, and copper sulfate to modulate the attenuation properties and MRI properties (T1 and T2*). Attenuation was measured with CT and
resultsUndoped plaster has a 511 keV attenuation coefficient (~0.14 cm
conclusionsPlaster doped with copper sulfate is a promising bone material analogue for a PET/MRI phantom, mimicking the MR properties (T1 and T2*) and 511 keV attenuation coefficient of human cortical bone.
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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.