Using digital infrared thermal image for the treatment response of skin and soft tissue infection Estimation
Date Issued
2014
Date
2014
Author(s)
Chen, Wei-Zong
Abstract
According to the statistics of Infectious Disease Society of America, skin and soft tissue infections will lead to more than 6 million outpatients every year. Due to Multiple-resistant Staphylococcus aureus, the incidence of skin and soft tissue infections increase significantly. The current patients of emergency department are three times of the patients between 1995 (1.2 millions) and 2005 (3.4 millions) and increase year by year. When the skin damaged by external forces, bacteria will invade into body via the wounds and further cause inflammation. According to the invade depth, they will lead to different disease that are superficial erysipelas and pustular eruption and underlying cellulitis and osteomyelitis. The cellulitis has the highest incidence. It is an acute and diffusive inflammation of bacterial infection. The incidence is about 2 ~ 32.5/1000 individuals according to the statistics in Europe and America. The skin soft tissue infections occur mostly in the lower limbs and the incidence in male is higher. As the age increases, the incidence shows increasing trend. In this study, it is focusing on the development of a digital infrared thermal imaging set and the application as an assessment tool for complex soft tissue infection therapy response. The infrared image registration of cross-section times and the normalized algorithm of thermal image sequence temperatures of longitudinal times are used as the assessments for the responses and compared with the assessment results of the resonance angiography in this study. First, the cross-section times image sequence is proceeded for image registration by using scale invariant feature transform. The purpose is to allow the images generated by portable infrared thermal image with certain qualities and to further reduce the thermal image normalization errors of images recorded with longitudinal times. Then, to select the areas from longitudinal infrared images for image normalization of time axis and for assessing the trend of the affected areas as the assessment standard. As far as the magnetic resonance imaging, to capture the affected areas and to find the relationship between trends. Finally, to observe the relationship between the assessment of infrared images and the trend of magnetic resonance imaging for further proving the reliability of the infrared images as well as the assessment of the aids for physician treatment and diagnosis.
Subjects
skin and soft tissue infections
image registration
temperature normalization
magnetic resonance imaging
SDGs
Type
thesis