ArticleIEEE transactions on medical imaging2018
Modeling Lung Architecture in the XCAT Series of Phantoms: Physiologically Based Airways, Arteries and Veins.
Article in IEEE transactions on medical imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 64 citations in OpenAlex.
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- Virtual Imaging-Guided Harmonization of Chest X-rays Using a Generative Adversarial Neural Network.IEEE transactions on bio-medical engineering · 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
- Effects of Intra-patient Lung Volume Variability on CT-Based Emphysema Quantification: A Virtual Imaging Study.Academic radiology · 2025Article
- XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans.Medical image analysis · 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
- The potential of photon-counting CT for the improved precision of lung nodule radiomics.Physics in medicine and biology · 2025Article
- A Physics-Informed Deep Neural Network for Harmonization of CT Images.IEEE transactions on bio-medical engineering · 2024Article
- A framework to model charge sharing and pulse pileup for virtual imaging trials of photon-counting CT.Physics in medicine and biology · 2024Article
- Deep learning applications for quantitative and qualitative PET in PET/MR: technical and clinical unmet needs.Magma (New York, N.Y.) · 2024Review
- A systematic assessment and optimization of photon-counting CT for lung density quantifications.Medical physics · 2024Article
- Development of physiologically-informed computational coronary artery plaques for use in virtual imaging trials.Medical physics · 2024Article
- Quantitative accuracy of lung function measurement using parametric response mapping: A virtual imaging study.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Deep silicon photon-counting CT: A first simulation-based study for assessing perceptual benefits across diverse anatomies.European journal of radiology · 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
- In silico simulation of hepatic arteries: An open-source algorithm for efficient synthetic data generation.Medical physics · 2023Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
The purpose of this paper was to extend the extended cardiac-torso (XCAT) series of computational phantoms to include a detailed lung architecture including airways and pulmonary vasculature. Eleven XCAT phantoms of varying anatomy were used in this paper. The lung lobes and initial branches of the airways, pulmonary arteries, and veins were previously defined in each XCAT model. These models were extended from the initial branches of the airways and vessels to the level of terminal branches using an anatomically-based volume-filling branching algorithm. This algorithm grew the airway and vasculature branches separately and iteratively without intersecting each other using cylindrical models with diameters estimated by order-based anatomical measurements. Geometrical features of the extended branches were compared with the literature anatomy values to quantitatively evaluate the models. These features include branching angle, length to diameter ratio, daughter to parent diameter ratio, asymmetrical branching pattern, diameter, and length ratios. The XCAT phantoms were then used to simulate CT images to qualitatively compare them with the original phantom images. The proposed growth model produced 46369 ± 12521 airways, 44737 ± 11773 arteries, and 39819 ± 9988 veins to the XCAT phantoms. Furthermore, the growth model was shown to produce asymmetrical airway, artery, and vein networks with geometrical attributes close to morphometry and model based studies. The simulated CT images of the phantoms were judged to be more realistic, including more airways and pulmonary vessels compared with the original phantoms. Future work will seek to add a heterogeneous parenchymal background into the XCAT lungs to make the phantoms even more representative of human anatomy, paving the way towards the use of XCAT models as a tool to virtually evaluate the current and emerging medical imaging technologies.
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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.