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Preliminary Study on Sub-Pixel Rendering for Mammography Medical Grade Color Displays

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Breast Imaging (IWDM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8539))

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Abstract

The independent sub-pixel driving (ISD) technology, which utilizes sub-pixels included in each normal pixel for image rendering, had been developed for monochrome displays for mammography to improve their resolution and over–all noise properties, and displays with ISD technology has been used for the diagnostic reading on mammography in many institutions. The purpose of this preliminary study was to investigate a possibility of applying the ISD technology to medical color displays on mammography using quantitative resolution and noise evaluations and a visual comparison. A prototype 5 mega-pixel (MP) color display and a 5MP monochrome display were employed. To reduce the micro level color shifts caused by applying the existing ISD driver software to color displays, we implemented an additional low-pass filtering process to the driver software. The quantitative over-all resolution and noise properties for a magnification ratio of 0.4 which is routinely used in diagnostic initial reading of our hospital was measured for three conditions which included two conditions for the color display: Color with ISD (Color-ISD) and color without ISD (Color-normal) and one condition for the monochrome display: Monochrome-normal. Two radiologist visually compared Color-ISD with Monochrome-normal for resolution, noise and color shift using an ACR156 phantom image. Both over-all resolution and noise properties of ISD-color were superior to those of the others. In the visual comparison, Color ISD presented the similar resolution and superior noise properties as compared with Monochrome-normal. The color shift was visually ignorable in the phantom image displaying.

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Ichikawa, K., Kawashima, H. (2014). Preliminary Study on Sub-Pixel Rendering for Mammography Medical Grade Color Displays. In: Fujita, H., Hara, T., Muramatsu, C. (eds) Breast Imaging. IWDM 2014. Lecture Notes in Computer Science, vol 8539. Springer, Cham. https://doi.org/10.1007/978-3-319-07887-8_102

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  • DOI: https://doi.org/10.1007/978-3-319-07887-8_102

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07886-1

  • Online ISBN: 978-3-319-07887-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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