Analysis of Principle and Applications of FFT in Medical Imaging Dataset
DOI:
https://doi.org/10.54097/67ac8v83Keywords:
FFT; medical image process; harmonic analysis; pneumonia; Covid-19.Abstract
The outbreak of novel infectious diseases usually resulted in the high number of death and infectious. It is always in urge to develop a method that can detect and diagnose the disease rapidly and accurately. This article provides a method based on Fast Fourier Transform that can process the medical image dataset and perform the following processing procedure. FFT plays an irreplaceable role in modern data and signal processing. The chest X-ray represents that this method accomplishes significant result. The differences between different characteristics of pneumonia have been significantly enhanced and sharpened. It becomes available to tell the difference from bacterial pneumonia, viral pneumonia and Covid-19 pneumonia while leaving the normal lung still clear. These results can be applied to help to screen out the suspicious case and extract the symptom of novel infectious diseases when it is still contained at early stage. It brings strategic significance to the isolation, prevention and control measures of novel infectious diseases.
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