Analysis of the density and distribution of entropy in biomedical infrared imaging for Diabetes Mellitus Type II
| Autor: | Rebeca Solalinde-Vargas, C. García-Segundo, Raúl Serrano-Loyola, Rosalinda Ortiz-Sosa, Edgar Israel Fuentes-Oliver |
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| Rok vydání: | 2020 |
| Předmět: |
Diagnostic Imaging
business.industry Entropy 0206 medical engineering Diabetes mellitus type II 02 engineering and technology 020601 biomedical engineering Statistics Nonparametric 030218 nuclear medicine & medical imaging Correlation 03 medical and health sciences 0302 clinical medicine Distribution (mathematics) Glucose Diabetes Mellitus Type 2 Consistency (statistics) Clinical diagnosis Independent samples Mann–Whitney U test Humans Entropy (energy dispersal) Nuclear medicine business General Nursing Mathematics |
| Zdroj: | Biomedical physicsengineering express. 7(4) |
| ISSN: | 2057-1976 |
| Popis: | We report a methodology to analyze data extracted from infrared images. These pictures show the lower limbs of a cohort of individuals belonging to, (1) voluntary controls and (2) patients diagnosed with diabetes mellitus type II. The analysis is presented in terms of Cross Entropy and temperature distributions; both using the associated thermal histograms. The temperature analysis is placed in terms of comparing the extreme values of dS/dQ, for controls and patients. In this analysis for the frontal view, the values of specificity and sensitivity calculated were 77.77% and 91.66%, respectively. For the back view, the specificity and sensitivity obtained were 88.8% and 83.3%, respectively. Instead of that, the cross-entropy analysis is placed in the modality of self-referencing. In this part of the study we obtained the coefficient of asymmetry and thermal response (ATR). The values of specificity and sensitivity for the ATR quotient in both cases were 83.3%. The results of both studies have a significant correlation with glucose (p < 0.01) and HbA1c (p < 0.01). It means that both approaches have statistical correspondence. By means of the Mann-Whitney U test, for independent samples, we get that the characteristic parameters we analyze can be differentiated among the populations of interest with a significance of p < 0.05. This suggests that both studies show consistency with the clinical diagnosis; exhibiting clear differences between control and patient groups. |
| Databáze: | OpenAIRE |
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