A model-based radiography restoration method based on simple scatter-degradation scheme for improving image visibility. (February 2018)

• Record Type: Journal Article
• Authors: Kim, K.; Kang, S.; Cho, H.; Kang, W.; Seo, C.; Park, C.; Lee, D.; Lim, H.; Lee, H.; Kim, G.; Park, S.; Park, J.; Kim, W.; Jeon, D.; Woo, T.; Oh, J.
• Is Part Of: Optics and lasers in engineering. Volume 101(2018)
• Page Start: 60
• Page End: 66
• Publication Date: 2018-02
• Subjects: Model-based restoration -- Scatter-degradation scheme -- Image visibility; Lasers in engineering -- Periodicals; Optical measurements -- Periodicals; Optics -- Periodicals; Lasers en ingénierie -- Périodiques; Mesures optiques -- Périodiques; Optique -- Périodiques; 621.36605
• DOI: 10.1016/j.optlaseng.2017.09.022
• Languages: English
• ISSNs: 0143-8166

Abstract

Highlights: It is proposed for a model-based radiography restoration method. The intensity of scattered x-rays and the transmission function are estimated. We implement the proposed algorithm. This study improves the image visibility in radiography considerably. Abstract: In conventional planar radiography, image visibility is often limited mainly due to the superimposition of the object structure under investigation and the artifacts caused by scattered x-rays and noise. Several methods, including computed tomography (CT) as a multiplanar imaging modality, air-gap and grid techniques for the reduction of scatters, phase-contrast imaging as another image-contrast modality, etc., have extensively been investigated in attempt to overcome these difficulties. However, those methods typically require higher x-ray doses or special equipment. In this work, as another approach, we propose a new model-based radiography restoration method based on simple scatter-degradation scheme where the intensity of scattered x-rays and the transmission function of a given object are estimated from a single x-ray image to restore the original degraded image. We implemented the proposed algorithm and performed an experiment to demonstrate its viability. Our results indicate that the degradation of image characteristics by scattered x-rays and noise was effectively recovered by using the proposed method, which improves the image visibility in radiography considerably.