Peculiarities of dynamic evaluation of globular formation outlines of the lungs with multislice computed tomography

Background. Visualization of infiltration in lung tissue surrounding the globular formation of the lungs (GFL) determined by X-ray is one of the important points in the differential diagnosis of primary lung cancer, specific and non-specific inflammatory processes. At CT gauge body phantoms test fac...

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Main Authors: Vladimir G. Kolmogorov, Ivan V. Molodkin, Vladimir K. Konovalov, Alexander M. Shayduk, Sergey A. Ostanin, Sergey L. Leonov, Olga V. Borisenko, Mikhail A. Fedoseyev, Julia S. Modakalova
Format: Article
Language:English
Published: Siberian State Medical University (Tomsk) 2017-07-01
Series:Бюллетень сибирской медицины
Subjects:
Online Access:https://bulletin.ssmu.ru/jour/article/view/891
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author Vladimir G. Kolmogorov
Ivan V. Molodkin
Vladimir K. Konovalov
Alexander M. Shayduk
Sergey A. Ostanin
Sergey L. Leonov
Olga V. Borisenko
Mikhail A. Fedoseyev
Julia S. Modakalova
author_facet Vladimir G. Kolmogorov
Ivan V. Molodkin
Vladimir K. Konovalov
Alexander M. Shayduk
Sergey A. Ostanin
Sergey L. Leonov
Olga V. Borisenko
Mikhail A. Fedoseyev
Julia S. Modakalova
author_sort Vladimir G. Kolmogorov
collection DOAJ
description Background. Visualization of infiltration in lung tissue surrounding the globular formation of the lungs (GFL) determined by X-ray is one of the important points in the differential diagnosis of primary lung cancer, specific and non-specific inflammatory processes. At CT gauge body phantoms test facilities are widely used for evaluating the performance of scanners that allow the evaluation of scanner characteristics : noise, contrast sensitivity, positioning accuracy, stiffness of the radiation beam, the layer thickness, spatial resolution, etc.Aim. To develop a methodology for assessing the GFL outlines of the dynamics of multislice computed tomography (MSCT) by selecting the optimal image processing algorithms.Materials and methods. The visual analysis of two- component physical model images of the electronic window level (WL) and electronic window width (WW) was installed on the basis of the best conditions for studying a specific group of tissues. In the case of indistinct, poorly defined outlines of globular formations, visual assessment is operator-dependent and requires development and application of quantitative methods of analysis. For a quantitative description of the outlines of the image of the GFL model, a vector in a polar coordinate system coming from the center of the figure mass bounded by the outline was used. The following outline complexity measures were adopted: modified Shannon information entropy H(S(k)) for k harmonics of the normalized spectral power density S(k) of the length of oscillation of loop radius vector R(n); the number of local maxima L of signature radius vector R(n); the maximum value of the normalized power spectral density S(k); product (multiplicity) of the entropy H(S) and the number of local maxima L.Results. “Multiplicity”, “the number of local maxima” of the outline depend on the GFL geometric dimensions and cannot be used for diagnosis without first normalizing for GFL outline length. The parameters, such as “entropy” and “maximum value of the normalized power spectral density” are invariant under GFL geometric sizes and can be used for differential diagnosis at any phase of the disease.
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spelling doaj.art-305e528648ff4e90a6808fb7367a8b9a2023-03-13T09:58:23ZengSiberian State Medical University (Tomsk)Бюллетень сибирской медицины1682-03631819-36842017-07-0116213614510.20538/1682-0363-2017-2-136-145680Peculiarities of dynamic evaluation of globular formation outlines of the lungs with multislice computed tomographyVladimir G. Kolmogorov0Ivan V. Molodkin1Vladimir K. Konovalov2Alexander M. Shayduk3Sergey A. Ostanin4Sergey L. Leonov5Olga V. Borisenko6Mikhail A. Fedoseyev7Julia S. Modakalova8Диагностический центр Алтайского края, г. БарнаулАлтайский государственный университет, г. БарнаулАлтайский государственный медицинский университет, г. БарнаулАлтайский государственный медицинский университет, г. БарнаулАлтайский государственный университет; ООО «АГФЗ», г. БарнаулАлтайский государственный технический университет им. И.И. Ползунова, г. БарнаулАлтайский государственный медицинский университет, г. БарнаулАлтайский государственный медицинский университет, г. БарнаулАлтайский государственный медицинский университет, г. БарнаулBackground. Visualization of infiltration in lung tissue surrounding the globular formation of the lungs (GFL) determined by X-ray is one of the important points in the differential diagnosis of primary lung cancer, specific and non-specific inflammatory processes. At CT gauge body phantoms test facilities are widely used for evaluating the performance of scanners that allow the evaluation of scanner characteristics : noise, contrast sensitivity, positioning accuracy, stiffness of the radiation beam, the layer thickness, spatial resolution, etc.Aim. To develop a methodology for assessing the GFL outlines of the dynamics of multislice computed tomography (MSCT) by selecting the optimal image processing algorithms.Materials and methods. The visual analysis of two- component physical model images of the electronic window level (WL) and electronic window width (WW) was installed on the basis of the best conditions for studying a specific group of tissues. In the case of indistinct, poorly defined outlines of globular formations, visual assessment is operator-dependent and requires development and application of quantitative methods of analysis. For a quantitative description of the outlines of the image of the GFL model, a vector in a polar coordinate system coming from the center of the figure mass bounded by the outline was used. The following outline complexity measures were adopted: modified Shannon information entropy H(S(k)) for k harmonics of the normalized spectral power density S(k) of the length of oscillation of loop radius vector R(n); the number of local maxima L of signature radius vector R(n); the maximum value of the normalized power spectral density S(k); product (multiplicity) of the entropy H(S) and the number of local maxima L.Results. “Multiplicity”, “the number of local maxima” of the outline depend on the GFL geometric dimensions and cannot be used for diagnosis without first normalizing for GFL outline length. The parameters, such as “entropy” and “maximum value of the normalized power spectral density” are invariant under GFL geometric sizes and can be used for differential diagnosis at any phase of the disease.https://bulletin.ssmu.ru/jour/article/view/891шаровидные образования легкихмультиспиральная компьютерная томографияконтуры шаровидных образований легких
spellingShingle Vladimir G. Kolmogorov
Ivan V. Molodkin
Vladimir K. Konovalov
Alexander M. Shayduk
Sergey A. Ostanin
Sergey L. Leonov
Olga V. Borisenko
Mikhail A. Fedoseyev
Julia S. Modakalova
Peculiarities of dynamic evaluation of globular formation outlines of the lungs with multislice computed tomography
Бюллетень сибирской медицины
шаровидные образования легких
мультиспиральная компьютерная томография
контуры шаровидных образований легких
title Peculiarities of dynamic evaluation of globular formation outlines of the lungs with multislice computed tomography
title_full Peculiarities of dynamic evaluation of globular formation outlines of the lungs with multislice computed tomography
title_fullStr Peculiarities of dynamic evaluation of globular formation outlines of the lungs with multislice computed tomography
title_full_unstemmed Peculiarities of dynamic evaluation of globular formation outlines of the lungs with multislice computed tomography
title_short Peculiarities of dynamic evaluation of globular formation outlines of the lungs with multislice computed tomography
title_sort peculiarities of dynamic evaluation of globular formation outlines of the lungs with multislice computed tomography
topic шаровидные образования легких
мультиспиральная компьютерная томография
контуры шаровидных образований легких
url https://bulletin.ssmu.ru/jour/article/view/891
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