Literature DB >> 31559375

Modeling "Textured" Bones in Virtual Human Phantoms.

Ehsan Abadi1, William P Segars2, Gregory M Sturgeon3, Brian Harrawood4, Anuj Kapadia5, Ehsan Samei6.   

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 (R2 = 0.84), as expected in fractal and porous textures. The proposed texture synthesis algorithm was able to synthesize textures emulating real anatomical images, with the simulated CT images with the prototyped bones were more realistic than those simulated with the original XCAT models. Incorporating intra-organ structures, the "textured" phantoms are envisioned to be used to conduct virtual clinical trials in the context of medical imaging in cases where the actual trials are infeasible due to the lack of ground truth, cost, or potential risks to the patients.

Entities:  

Keywords:  Bone modeling; Computational human phantoms; Cortical bones; Imaging Phantoms; Medical simulation; Phantoms; Trabecular bones

Year:  2018        PMID: 31559375      PMCID: PMC6762028          DOI: 10.1109/TRPMS.2018.2828083

Source DB:  PubMed          Journal:  IEEE Trans Radiat Plasma Med Sci        ISSN: 2469-7303


  9 in total

1.  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

2.  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

3.  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

4.  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

5.  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

6.  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

7.  Anatomically and physiologically informed computational model of hepatic contrast perfusion for virtual imaging trials.

Authors:  Thomas J Sauer; Ehsan Abadi; Paul Segars; Ehsan Samei
Journal:  Med Phys       Date:  2022-03-20       Impact factor: 4.506

Review 8.  Virtual clinical trials in medical imaging: a review.

Authors:  Ehsan Abadi; William P Segars; Benjamin M W Tsui; Paul E Kinahan; Nick Bottenus; Alejandro F Frangi; Andrew Maidment; Joseph Lo; Ehsan Samei
Journal:  J Med Imaging (Bellingham)       Date:  2020-04-11

9.  Synthetic 4DCT(MRI) lung phantom generation for 4D radiotherapy and image guidance investigations.

Authors:  Alisha Duetschler; Grzegorz Bauman; Oliver Bieri; Philippe C Cattin; Stefanie Ehrbar; Georg Engin-Deniz; Alina Giger; Mirjana Josipovic; Christoph Jud; Miriam Krieger; Damien Nguyen; Gitte F Persson; Rares Salomir; Damien C Weber; Antony J Lomax; Ye Zhang
Journal:  Med Phys       Date:  2022-03-17       Impact factor: 4.506

  9 in total

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