ArticleIEEE transactions on radiation and plasma medical sciences2019
Advances in Computational Human Phantoms and Their Applications in Biomedical Engineering - A Topical Review.
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 27 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed, 104 citations in OpenAlex.
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- Demographic distribution matching between real-world and virtual phantom population.Medical physics · 2026Article
- Specific absorbed fractions and radionuclide S values for adult and pediatric respiratory tracts within ICRP series of mesh-type reference computational phantoms.Journal of radiological protection : official journal of the Society for Radiological Protection · 2025Article
- Mesh-based detailed skeletal models for the ICRP Reference Adults: Part 1. development and dosimetric impact.Physics in medicine and biology · 2025Article
- Synthetic data in generalizable, learning-based neuroimaging.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Automatic vessel attenuation measurement for quality control of contrast-enhanced CT: Validation on the portal vein.Medical physics · 2024Article
- Credibility assessment of in silico clinical trials for medical devices.PLoS computational biology · 2024Review
- Synthetic data in radiological imaging: current state and future outlook.BJR artificial intelligence · 2024Review
- In silico simulation of hepatic arteries: An open-source algorithm for efficient synthetic data generation.Medical physics · 2023Article
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- Synthetic biomedical data generation in support ofFrontiers in big data · 2023Review
- Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines).Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022Article
- Modeling a 3-D multiscale blood-flow and heat-transfer framework for realistic vascular systems.Scientific reports · 2022Article
- Synthetic 4DCT(MRI) lung phantom generation for 4D radiotherapy and image guidance investigations.Medical physics · 2022Article
- Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation.IEEE transactions on medical imaging · 2021Article
- iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry.IEEE journal of biomedical and health informatics · 2021Article
- Roadmap: proton therapy physics and biology.Physics in medicine and biology · 2021Review
- Virtual Imaging Trials for Coronavirus Disease (COVID-19).AJR. American journal of roentgenology · 2021Article
- Comparison of Correction Techniques for the Spill in Effect in Emission Tomography.IEEE transactions on radiation and plasma medical sciences · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 9 institutions in 4 countries.
Funding
Abstract
Over the past decades, significant improvements have been made in the field of computational human phantoms (CHPs) and their applications in biomedical engineering. Their sophistication has dramatically increased. The very first CHPs were composed of simple geometric volumes, e.g., cylinders and spheres, while current CHPs have a high resolution, cover a substantial range of the patient population, have high anatomical accuracy, are poseable, morphable, and are augmented with various details to perform functionalized computations. Advances in imaging techniques and semi-automated segmentation tools allow fast and personalized development of CHPs. These advances open the door to quickly develop personalized CHPs, inherently including the disease of the patient. Because many of these CHPs are increasingly providing data for regulatory submissions of various medical devices, the validity, anatomical accuracy, and availability to cover the entire patient population is of utmost importance. The article is organized into two main sections: the first section reviews the different modeling techniques used to create CHPs, whereas the second section discusses various applications of CHPs in biomedical engineering. Each topic gives an overview, a brief history, recent developments, and an outlook into the future.
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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.