ArticleIEEE transactions on radiation and plasma medical sciences2019
Modeling "Textured" Bones in Virtual Human Phantoms.
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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 41 citations in OpenAlex.
- Demographic distribution matching between real-world and virtual phantom population.Medical physics · 2026Article
- Conditional generative diffusion model for 3D trabecular bone synthesis with tunable microstructure.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- Airway quantifications of bronchitis patients with photon-counting and energy-integrating computed tomography.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- Evaluation of unified harmonization of CT images across multiple tasks: A step towards AI generalizability.Medical physics · 2025Article
- In silico modeling of a clinical photon-counting CT system: Verification and validation.Medical physics · 2025Article
- The Role of Harmonization: A Systematic Analysis of Various Task-based Scenarios.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- A Physics-Informed Deep Neural Network for Harmonization of CT Images.IEEE transactions on bio-medical engineering · 2024Article
- Deep learning applications for quantitative and qualitative PET in PET/MR: technical and clinical unmet needs.Magma (New York, N.Y.) · 2024Review
- Development of physiologically-informed computational coronary artery plaques for use in virtual imaging trials.Medical physics · 2024Article
- Development and Application of a Virtual Imaging Trial Framework for Longitudinal Quantification of Emphysema in CT.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Surface-based anthropomorphic bone structures for use in high-resolution simulated medical imaging.Physics in medicine and biology · 2023Article
- MRXCAT2.0: Synthesis of realistic numerical phantoms by combining left-ventricular shape learning, biophysical simulations and tissue texture generation.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023Article
- Harmonizing CT Images via Physics-based Deep Neural Networks.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Development and Application of a Virtual Imaging Trial framework for Airway Quantifications via CT.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Phase-contrast virtual chest radiography.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Anatomically and physiologically informed computational model of hepatic contrast perfusion for virtual imaging trials.Medical physics · 2022Article
- Synthetic 4DCT(MRI) lung phantom generation for 4D radiotherapy and image guidance investigations.Medical physics · 2022Article
- A scanner-specific framework for simulating CT images with tube current modulation.Physics in medicine and biology · 2021Article
- A GPU-accelerated framework for rapid estimation of scanner-specific scatter in CT for virtual imaging trials.Physics in medicine and biology · 2021Article
- Virtual Imaging Trials for Coronavirus Disease (COVID-19).AJR. American journal of roentgenology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The purpose of this study was to develop detailed and realistic models of the cortical and trabecular bones in the spine, ribs, and sternum and incorporate them into the library of virtual human phantoms (XCAT). Cortical bone was modeled by 3D morphological erosion of XCAT homogenously defined bones with an average thickness measured from the CT dataset upon which each individual XCAT phantom was based. The trabecular texture was modeled using a power law synthesis algorithm where the parameters were tuned using high-resolution anatomical images of the Human Visible Female. The synthesized bone textures were added into the XCAT phantoms. To qualitatively evaluate the improved realism of the bone modeling, CT simulations of the XCAT phantoms were acquired with and without the textured bone modeling. The 3D power spectrum of the anatomical images exhibited a power law behavior (R
Indexed as
Identifiers
What OpenQuestion holds
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.