Emphysema early diagnosis using X-ray diffraction enhanced imaging at synchrotron light source

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• 作者：Linan Dong (7)
  Jun Li (7)
  Wushuai Jian (7)
  Lu Zhang (7)
  Mingshu Wu (7)
  Hongli Shi (7)
  Shuqian Luo (7)
  
  7. Department of Biomedical Engineering ; Capital Medical University ; Beijing ; 100069 ; China
  
• 关键词：Pulmonary emphysema ; Diffraction enhanced imaging ; Multiple image radiography ; Early diagnosis
• 刊名：BioMedical Engineering OnLine
• 出版年：2014
• 出版时间：December 2014
• 年：2014
• 卷：13
• 期：1
• 全文大小：1,982 KB
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• 刊物类别：Engineering
• 出版者：BioMed Central
• ISSN：1475-925X

文摘

Background Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality worldwide, and emphysema is a common component of COPD. Currently, it is very difficult to detect early stage emphysema using conventional radiographic imaging without contrast agents, because the change in X-ray attenuation is not detectable with absorption-based radiography. Compared with the absorption-based CT, phase contrast imaging has more advantages in soft tissue imaging, because of its high spatial resolution and contrast. Methods In this article, we used diffraction enhanced imaging (DEI) method to get the images of early stage emphysematous and healthy samples, then extract X-ray absorption, refraction, and ultra-small-angle X-ray scattering (USAXS) information from DEI images using multiple image radiography (MIR). We combined the absorption image with the USAXS image by a scatter plot. The critical threshold in the scatter plot was calibrated using the linear discriminant function in the pattern recognition. Results USAXS image was sensitive to the change of tissue micro-structure, it could show the lesions which were invisible in the absorption image. Combined with the absorption-based image, the USAXS information enabled better discrimination between healthy and emphysematous lung tissue in a mouse model. The false-color images demonstrated that our method was capable of classifying healthy and emphysematous tissues. Conclusion Here we present USAXS images of early stage emphysematous and healthy samples, where the dependence of the USAXS signal on micro-structures of biomedical samples leads to improved diagnosis of emphysema in lung radiographs.