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Proceedings Paper

Generalized dynamic range compression algorithm for visualization of chest CT images
Author(s): Shoji Hara; Kazuo Shimura; Takefumi Nagata
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Paper Abstract

We formulated a new dynamic range compression (DRC) processing algorithm that can be applied to chest CT images. This new DRC processing algorithm was based on an existing DRC processing algorithm. The new DRC processing algorithm, which we named “Generalized DRC processing,” is categorized as shift variant image processing and can explicitly utilize the results of anatomical region recognition. In addition, the application of the method is not restricted to the DRC. The method can enhance high frequency signals only in the lung due to its shift variant characteristics. Therefore, higher image quality than conventional USM is obtained. When using the Generalized DRC processing for chest CT images, the representation of soft tissues will be improved by roughly recognizing the lung region without affecting the density and contrast of the lung region. Unlike the conventional double gamma method, our method significantly reduces artifacts. In recent years, the reading volume of chest CT images is greatly increasing. In view of this we propose this method, which reduces the number of windowing on a viewer. We believe that this will improve the total reading efficiency, and especially, will allow more efficient lung cancer CT screening.

Paper Details

Date Published: 5 May 2004
PDF: 8 pages
Proc. SPIE 5367, Medical Imaging 2004: Visualization, Image-Guided Procedures, and Display, (5 May 2004); doi: 10.1117/12.534676
Show Author Affiliations
Shoji Hara, Fuji Photo Film Co., Ltd. (Japan)
Kazuo Shimura, Fuji Photo Film Co., Ltd. (Japan)
Takefumi Nagata, Fuji Photo Film Co., Ltd. (Japan)

Published in SPIE Proceedings Vol. 5367:
Medical Imaging 2004: Visualization, Image-Guided Procedures, and Display
Robert L. Galloway Jr., Editor(s)

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