Literature DB >> 29533891

Modeling Lung Architecture in the XCAT Series of Phantoms: Physiologically Based Airways, Arteries and Veins.

Ehsan Abadi, William P Segars, Gregory M Sturgeon, Justus E Roos, Carl E Ravin, Ehsan Samei.   

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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Year:  2018        PMID: 29533891      PMCID: PMC6434530          DOI: 10.1109/TMI.2017.2769640

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  15 in total

1.  DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography.

Authors:  Ehsan Abadi; Brian Harrawood; Shobhit Sharma; Anuj Kapadia; William P Segars; Ehsan Samei
Journal:  IEEE Trans Med Imaging       Date:  2018-12-12       Impact factor: 10.048

2.  Advances in Computational Human Phantoms and Their Applications in Biomedical Engineering - A Topical Review.

Authors:  Wolfgang Kainz; Esra Neufeld; Wesley E Bolch; Christian G Graff; Chan Hyeong Kim; Niels Kuster; Bryn Lloyd; Tina Morrison; Paul Segars; Yeon Soo Yeom; Maria Zankl; X George Xu; Benjamin M W Tsui
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2019-01

3.  Development of realistic multi-contrast textured XCAT (MT-XCAT) phantoms using a dual-discriminator conditional-generative adversarial network (D-CGAN).

Authors:  Yushi Chang; Kyle Lafata; William Paul Segars; Fang-Fang Yin; Lei Ren
Journal:  Phys Med Biol       Date:  2020-03-19       Impact factor: 3.609

4.  Virtual clinical trial for quantifying the effects of beam collimation and pitch on image quality in computed tomography.

Authors:  Ehsan Abadi; William P Segars; Brian Harrawood; Shobhit Sharma; Anuj Kapadia; Ehsan Samei
Journal:  J Med Imaging (Bellingham)       Date:  2020-06-01

5.  Development of a scanner-specific simulation framework for photon-counting computed tomography.

Authors:  Ehsan Abadi; Brian Harrawood; Jayasai R Rajagopal; Shobhit Sharma; Anuj Kapadia; William Paul Segars; Karl Stierstorfer; Martin Sedlmair; Elizabeth Jones; Ehsan Samei
Journal:  Biomed Phys Eng Express       Date:  2019-08-09

6.  A scanner-specific framework for simulating CT images with tube current modulation.

Authors:  Giavanna Jadick; Ehsan Abadi; Brian Harrawood; Shobhit Sharma; W Paul Segars; Ehsan Samei
Journal:  Phys Med Biol       Date:  2021-09-13       Impact factor: 3.609

7.  A truth-based primal-dual learning approach to reconstruct CT images utilizing the virtual imaging trial platform.

Authors:  Mojtaba Zarei; Saman Sotoudeh-Paima; Ehsan Abadi; Ehsan Samei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2022-04-04

8.  Photon-counting CT versus conventional CT for COPD quantifications: intra-scanner optimization and inter-scanner assessments using virtual imaging trials.

Authors:  Saman Sotoudeh-Paima; W Paul Segars; Ehsan Samei; Ehsan Abadi
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2022-04-04

9.  Development and Clinical Applications of a Virtual Imaging Framework for Optimizing Photon-counting CT.

Authors:  Ehsan Abadi; Cindy McCabe; Brian Harrawood; Saman Sotoudeh-Paima; W Paul Segars; Ehsan Samei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2022-04-04

10.  Imposing implicit feasibility constraints on deformable image registration using a statistical generative model.

Authors:  Yudi Sang; Xianglei Xing; Yingnian Wu; Dan Ruan
Journal:  J Med Imaging (Bellingham)       Date:  2020-12-28
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