Application of Spectral Analysis to Obtain Characteristics of the Contour of Circular-Shaped Masses in Lungs for Differential Diagnosis-Reference-Cited by-同舟云学术

Application of Spectral Analysis to Obtain Characteristics of the Contour of Circular-Shaped Masses in Lungs for Differential Diagnosis

Published:2024-06-28 Issue:2 Volume: Page:81-90
ISSN:1810-200X
Container-title:Meditsinskaya Fizika
language:
Short-container-title:Med. fiz.

Author:

Molodkin I. V.¹,Ryzhkin S. A.²,Izmailov T. R.¹

Affiliation:

1. N.I. Pirogov National Medical and Surgical Center, Russian Medical Academy of Continues Professional Education

2. Russian Medical Academy of Continues Professional Education, Kazan State Medical University, Kazan (Volga region) Federal University, Academy of Sciences of the Republic of Tatarstan

Abstract

Purpose: To article examine the quantitative characteristics of the contour of spherical formations of the lungs for use in differential diagnosis. Material and methods: Studies have been carried out on a two dimensional array of densitometric parameters obtained by processing tomographic medical images of patients with verified diagnoses. The work examines lung diseases: cancer and tuberculosis. The study included data from 982 and 493 CT slices with cancer and tuberculosis, respectively. A principle is proposed for constructing the contours of spherical formations in the lungs. Using spectral analysis, quantitative characteristics of the contours were obtained: spectral entropy, multiplicity, number of local maxima, signature function of the polar angle of rotation of the radius vector. The statistical significance of the differences in the values of these characteristics of the contours of spherical formations in various diseases (cancer and tuberculosis) was analyzed. Results: The work revealed statistical differences in the characteristics of the circuit in various pathologies, which may allow differential diagnosis of the lung diseases under study. Conclusion: The obtained quantitative characteristics of spherical formations in the lungs can be included in the system of helping the doctor in diagnosis. It should be remembered that there is no single diagnostic sign based on the quantitative characteristics of the image, which would immediately determine the type of pathology. Only a set of such functions will allow for high-quality diagnostics.

Publisher

Association of Medical Physicists in Russia

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