16 April 1997 Gray-scale transform and evaluation for digital x-ray chest images on CRT monitor
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In this paper, an experimental evaluation of a super high definition (SHD) imaging system for digital x-ray chest images is presented. The SHD imaging system is proposed as a platform for integrating conventional image media. We are involved in the use of SHD images in the total digitizing of medical records that include chest x-rays and pathological microscopic images, both which demand the highest level of quality among the various types of medical images. SHD images use progressive scanning and have a spatial resolution of 2000 by 2000 pixels or more and a temporal resolution (frame rate) of 60 frames/sec or more. For displaying medical x-ray images on a CRT, we derived gray scale transform characteristics based on radiologists' comments during the experiment, and elucidated the relationship between that gray scale transform and the linearization transform for maintaining the linear relationship with the luminance of film on a light box (luminance linear transform). We then carried out viewing experiments based on a five-stage evaluation. Nine radiologists participated in our experiment, and the ten cases evaluated included pulmonary fibrosis, lung cancer, and pneumonia. The experimental results indicated that conventional film images and those on super high definition CRT monitors have nearly the same quality. They also show that the gray scale transform for CRT images decided according to radiologists' comments agrees with the luminance linear transform in the high luminance region. And in the low luminance region, it was found that the gray scale transform had the characteristics of level expansion to increase the number of levels that can be expressed.
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Isao Furukawa, Isao Furukawa, Junji Suzuki, Junji Suzuki, Sadayasu Ono, Sadayasu Ono, Masayuki Kitamura, Masayuki Kitamura, Yutaka Ando, Yutaka Ando, } "Gray-scale transform and evaluation for digital x-ray chest images on CRT monitor", Proc. SPIE 3036, Medical Imaging 1997: Image Perception, (16 April 1997); doi: 10.1117/12.271283; https://doi.org/10.1117/12.271283

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