Literature DB >> 19153182

Three-dimensional simulation of lung nodules for paediatric multidetector array CT.

X Li1, E Samei, D M Delong, R P Jones, A M Gaca, C L Hollingsworth, C M Maxfield, C W T Carrico, D P Frush.   

Abstract

The purpose of this study was to develop and validate a technique for three-dimensional (3D) modelling of small lung nodules on paediatric multidetector array computed tomography (MDCT) images. Clinical images were selected from 21 patients (<18 years old) who underwent MDCT examinations. Sixteen of the patients had one or more real lung nodules with diameters between 2.5 and 6 mm. A mathematical simulation technique was developed to emulate the 3D characteristics of the real nodules. To validate this technique, MDCT images of 34 real nodules and 55 simulated nodules were randomised and rated independently by four experienced paediatric radiologists on a continuous scale of appearance between 0 (definitely not real) and 100 (definitely real). Receiver operating characteristic (ROC) analysis, t-test, and equivalence test were performed to assess the radiologists' ability to distinguish between simulated and real nodules. The two types of nodules were also compared in terms of measured shape and contrast profile irregularities. The areas under the ROC curves were 0.59, 0.60, 0.40, and 0.63 for the four observers. Mean score differences between simulated and real nodules were -8, -11, 13, and -4 for the four observers with p-values of 0.17, 0.06, 0.17, and 0.26, respectively. The simulated and real nodules were perceptually equivalent and had comparable shape and contrast profile irregularities. In conclusion, mathematical simulation is a feasible technique for creating realistic small lung nodules on paediatric MDCT images.

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Year:  2009        PMID: 19153182     DOI: 10.1259/bjr/51749983

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  12 in total

1.  Application of CT-PSF-based computer-simulated lung nodules for evaluating the accuracy of computer-aided volumetry.

Authors:  Ayumu Funaki; Masaki Ohkubo; Shinichi Wada; Kohei Murao; Toru Matsumoto; Shinji Niizuma
Journal:  Radiol Phys Technol       Date:  2012-03-25

2.  Validation of a Projection-domain Insertion of Liver Lesions into CT Images.

Authors:  Baiyu Chen; Chi Ma; Shuai Leng; Jeff L Fidler; Shannon P Sheedy; Cynthia H McCollough; Joel G Fletcher; Lifeng Yu
Journal:  Acad Radiol       Date:  2016-07-16       Impact factor: 3.173

3.  Evaluation of computer-aided detection and diagnosis systems.

Authors:  Nicholas Petrick; Berkman Sahiner; Samuel G Armato; Alberto Bert; Loredana Correale; Silvia Delsanto; Matthew T Freedman; David Fryd; David Gur; Lubomir Hadjiiski; Zhimin Huo; Yulei Jiang; Lia Morra; Sophie Paquerault; Vikas Raykar; Frank Samuelson; Ronald M Summers; Georgia Tourassi; Hiroyuki Yoshida; Bin Zheng; Chuan Zhou; Heang-Ping Chan
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

4.  Evaluation of a projection-domain lung nodule insertion technique in thoracic computed tomography.

Authors:  Chi Ma; Lifeng Yu; Baiyu Chen; Chi Wan Koo; Edwin A Takahashi; Joel G Fletcher; David L Levin; Ronald S Kuzo; Lyndsay D Viers; Stephanie A Vincent-Sheldon; Shuai Leng; Cynthia H McCollough
Journal:  J Med Imaging (Bellingham)       Date:  2017-03-31

5.  Optimization of computed tomography protocols: limitations of a methodology employing a phantom with location-known opacities.

Authors:  Karen L Dobeli; Sarah J Lewis; Steven R Meikle; David L Thiele; Patrick C Brennan
Journal:  J Digit Imaging       Date:  2013-12       Impact factor: 4.056

6.  Task-based strategy for optimized contrast enhanced breast imaging: analysis of six imaging techniques for mammography and tomosynthesis.

Authors:  Lynda C Ikejimba; Nooshin Kiarashi; Sujata V Ghate; Ehsan Samei; Joseph Y Lo
Journal:  Med Phys       Date:  2014-06       Impact factor: 4.071

7.  Interchangeability between real and three-dimensional simulated lung tumors in computed tomography: an interalgorithm volumetry study.

Authors:  Marthony Robins; Justin Solomon; Jocelyn Hoye; Taylor Smith; Yuese Zheng; Lukas Ebner; Kingshuk Roy Choudhury; Ehsan Samei
Journal:  J Med Imaging (Bellingham)       Date:  2018-09-24

8.  Lesion Insertion in Projection Domain for Computed Tomography Image Quality Assessment.

Authors:  Baiyu Chen; Zhicong Yu; Shuai Leng; Lifeng Yu; Cynthia McCollough
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2015-02-21

9.  Evaluation of a projection-domain lung nodule insertion technique in thoracic CT.

Authors:  Chi Ma; Baiyu Chen; Chi Wan Koo; Edwin A Takahashi; Joel G Fletcher; Cynthia H McCollough; David L Levin; Ronald S Kuzo; Lyndsay D Viers; Stephanie A Vincent Sheldon; Shuai Leng; Lifeng Yu
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-04-04

10.  Lesion insertion in the projection domain: Methods and initial results.

Authors:  Baiyu Chen; Shuai Leng; Lifeng Yu; Zhicong Yu; Chi Ma; Cynthia McCollough
Journal:  Med Phys       Date:  2015-12       Impact factor: 4.071

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