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Enhancement for Computed Radiographic Images
Lubbock, Texas June 09-June 10
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.1995.465451Eighth IEEE Symposium on Computer-Bas ...
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R.S. Gaborski, B.K. Jang, "Enhancement for Computed Radiographic Images," Computer-Based Medical Systems, IEEE Symposium on, pp. 0027, Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995.
 
 
BibTex
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@article{ 10.1109/CBMS.1995.465451,
author = {R.S. Gaborski and B.K. Jang},
title = {Enhancement for Computed Radiographic Images},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {1995},
isbn = {0-8186-7117-3},
pages = {0027},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.1995.465451},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Enhancement for Computed Radiographic Images
SN - 0-8186-7117-3
SP
EP
A1 - R.S. Gaborski,
A1 - B.K. Jang,
PY - 1995
KW - diagnostic radiography; medical image processing; image enhancement; radiology; data conversion; image enhancement algorithm; computed radiographic images; data conversion; storage phosphor scanner; diagnostically optimized image; spatial segmentation algorithm; clinical image feature extraction; histogram analysis; tone-scale; region of interest; unsharp masking; sensitivity reduction; nonanatomical regions; display dynamic range; image viewing
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
R.S. Gaborski, Kodak Health Imaging Syst. Inc., Rochester, NY, USA
B.K. Jang, Kodak Health Imaging Syst. Inc., Rochester, NY, USA
Abstract: Proposes an image enhancement algorithm that converts raw data from a storage phosphor scanner into a diagnostically optimized image. The spatial segmentation algorithm is applied to extract the body part of a clinical image, and histogram analysis is then used to develop the tone-scale for the region of interest. Further enhancement is obtained by unsharp masking. This approach reduces the sensitivity to nonanatomical regions and allows full use of the display's dynamic range for image viewing. The algorithms have been tested on clinical images and the results were reviewed by radiologists. Currently, these algorithms are being successfully used in the clinical environment.
Index Terms:
diagnostic radiography; medical image processing; image enhancement; radiology; data conversion; image enhancement algorithm; computed radiographic images; data conversion; storage phosphor scanner; diagnostically optimized image; spatial segmentation algorithm; clinical image feature extraction; histogram analysis; tone-scale; region of interest; unsharp masking; sensitivity reduction; nonanatomical regions; display dynamic range; image viewing
Citation:
R.S. Gaborski, B.K. Jang, "Enhancement for Computed Radiographic Images," cbms, pp.0027, Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995
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