Fractal Analysis in Pulmonary CT Images of COVID-19-Infected Patients

被引：6

作者：

Paun, Maria-Alexandra ^{[1
,2
]}

Postolache, Paraschiva ^{[3
,4
]}

Nichita, Mihai-Virgil ^{[5
]}

Paun, Vladimir-Alexandru ^{[6
]}

Paun, Viorel-Puiu ^{[7
,8
]}

机构：

[1] Swiss Fed Inst Technol EPFL, Sch Engn, CH-1015 Lausanne, Switzerland

[2] Fed Off Commun OFCOM, Div Radio Monitoring & Equipment, Sect Market Access & Conform, CH-2501 Biel, Switzerland

[3] Grigore T Popa Univ Med & Pharm, Med Dept, Iasi 700115, Romania

[4] Rehabil Clin Hosp, Med Dept, Iasi 700661, Romania

[5] Univ Politehn Bucuresti, Fac Appl Sci, Doctoral Sch, Bucharest 060042, Romania

[6] Five Rescue Res Lab, F-75004 Paris, France

[7] Univ Politehn Bucuresti, Fac Appl Sci, Dept Phys, Bucharest 060042, Romania

[8] Acad Romanian Scientists, Bucharest 050094, Romania

来源：

FRACTAL AND FRACTIONAL | 2023年 / 7卷 / 04期

关键词：

computed tomography; picture texture; fractal analysis; fractal dimension; lacunarity; CHEST CT; DIAGNOSIS; DIMENSION;

D O I：

10.3390/fractalfract7040285

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this paper, we propose to quantitatively compare the loss of human lung health under the influence of the illness with COVID-19, based on the fractal-analysis interpretation of the chest-pulmonary CT pictures, in the case of small datasets, which are usually encountered in medical applications. The fractal analysis characteristics, such as fractal dimension and lacunarity measured values, have been utilized as an effective advisor to interpretation of pulmonary CT picture texture.

引用

页数：21

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