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Abstract
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Article Information:
Enhancement in Medical Image Processing for Breast Calcifications and Tumor Detection
Pouya Derakhshan-Barjoei and Mojdeh Bahadorzadeh
Corresponding Author: Pouya Derakhshan-Barjoei
Submitted: December 17, 2011
Accepted: January 10, 2012
Published: June 15, 2012 |
Abstract:
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Xray image processing is a computerized system which enhances the amount of detail visible on a
digitalized x-ray image. The effect of this technique in the diagnoses of breast cancer, where the detection of
early malignant tumors is essential for effective treatment, is reviewed in this study. The mammograms, as
normally viewed, display a small percentage of the information they detect and that is due to the minor
difference in x-ray attenuation between normal glandular tissues and malignant disease. This makes the
detection of small malignancies difficult. The digital medical image processing uses denoising and image
enhancement techniques so as to reveal any tumors that may not be obvious and help the oncologist decide.
The idea is to transform the data into the wavelet basis, in which the large coefficients are mainly the signal
and the smaller ones represent the noise. By suitably modifying these coefficients, the noise can be removed
from the data. In this study we employ wavelet method of image enhancement and the conclusion would be
satisfied.
Key words: Glandular tissue, mammogram, micrcoalcification, wavelet, , ,
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Cite this Reference:
Pouya Derakhshan-Barjoei and Mojdeh Bahadorzadeh, . Enhancement in Medical Image Processing for Breast Calcifications and Tumor Detection. Research Journal of Applied Sciences, Engineering and Technology, (12): 1696-1700.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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