Minimum Temperature Difference Perceived for Undersampled Medical Thermal Imager

Background. Currently, thermal imagers with matrix radiation detectors (MRD) are widely used in medicine. A common feature of these thermal imagers is the ability to sample the signal in two directions: horizontal and vertical. Such thermal imagers are undersampled. That is why the question of evalu...

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Bibliographic Details
Main Authors: Valentin G. Kolobrodov, Mykola M. Lutsjuk
Format: Article
Language:English
Published: Igor Sikorsky Kyiv Polytechnic Institute 2017-10-01
Series:Наукові вісті Національного технічного університету України "Київський політехнічний інститут"
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Online Access:http://bulletin.kpi.ua/article/view/100137/pdf_265
Description
Summary:Background. Currently, thermal imagers with matrix radiation detectors (MRD) are widely used in medicine. A common feature of these thermal imagers is the ability to sample the signal in two directions: horizontal and vertical. Such thermal imagers are undersampled. That is why the question of evaluating the effectiveness of such thermal imagers is very relevant now. Objective. The aim of the paper is to provide a physico-mathematical model of a thermal imager to calculate the minimum temperature difference perceived (MTDP). Methods. It is proposed to determine MTDP based on the physico-mathematical model of the thermal imager for determining the minimum resolution temperature difference. Results. The developed physico-mathematical model of a thermal imager with MRD allows calculating MTDP that enables determining the spatial resolution of a thermal imager outside the Nyquist frequency. It is proposed to consider the Average Modulation at Optimum Phase (AMOP) as the line scale average contrasts, which allow obtaining an equation for calculating the MTDP function. Conclusions. The proposed physico-mathematical model provides an opportunity to determine the spatial resolution of the thermal imager outside the Nyquist frequency, which is an important factor in the effect on the thermal imaging quality.
ISSN:1810-0546
2519-8890