comparing the performance of image enhancement methods to detect microcalcification clusters in digital mammography
نویسندگان
چکیده
background: mammography is the primary imaging technique for detection and diagnosis of breast cancer; however, the contrast of a mammogram image is often poor, especially for dense and glandular tissues. in these cases the radiologist may miss some diagnostically important microcalcifications. in order to improve diagnosis of cancer correctly, image enhancement technology is often used to enhance the image and help radiologists. methods: this paper presents a comparative study in digital mammography image enhancement based on four different algorithms: wavelet-based enhancement (asymmetric daubechies of order 8), contrast-limited adaptive histogram equalization (clahe), morphological operators and unsharp masking. these algorithms have been tested on 114 clinical digital mammography images. the comparison for all the proposed image enhancement techniques was carried out to find out the best technique in enhancement of the mammogram images to detect microcalcifications. results: for evaluation of performance of image enhancement algorithms, the contrast improvement index (cii) and profile intensity surface area distribution curve quality assessment have been used after any enhancement. the results of this study have shown that the average of cii is about 2.61 for wavelet and for clahe, unsharp masking and morphology operation are about 2.047, 1.63 and 1.315 respectively. conclusion: experimental results strongly suggest that the wavelet transformation can be more effective and improve significantly overall detection of the computer-aided diagnosis (cad) system especially for dense breast. compare to other studies, our method achieved a higher cii.
منابع مشابه
Comparing the Performance of Image Enhancement Methods to Detect Microcalcification Clusters in Digital Mammography
BACKGROUND Mammography is the primary imaging technique for detection and diagnosis of breast cancer; however, the contrast of a mammogram image is often poor, especially for dense and glandular tissues. In these cases the radiologist may miss some diagnostically important microcalcifications. In order to improve diagnosis of cancer correctly, image enhancement technology is often used to enhan...
متن کاملContrast Enhancement of Mammograms for Rapid Detection of Microcalcification Clusters
Introduction Breast cancer is one of the most common types of cancer among women. Early detection of breast cancer is the key to reducing the associated mortality rate. The presence of microcalcifications clusters (MCCs) is one of the earliest signs of breast cancer. Due to poor imaging contrast of mammograms and noise contamination, radiologists may overlook some diagnostic signs, specially t...
متن کاملComparing Methods for segmentation of Microcalcification Clusters in Digitized Mammograms
The appearance of microcalcifications in mammograms is one of the early signs of breast cancer. So, early detection of microcalcification clusters (MCCs) in mammograms can be helpful for cancer diagnosis and better treatment of breast cancer. In this paper a computer method has been proposed to support radiologists in detection MCCs in digital mammography. First, in order to facilitate and impr...
متن کاملThe simulation of 3D microcalcification clusters in 2D digital mammography and breast tomosynthesis.
PURPOSE This work proposes a new method of building 3D models of microcalcification clusters and describes the validation of their realistic appearance when simulated into 2D digital mammograms and into breast tomosynthesis images. METHODS A micro-CT unit was used to scan 23 breast biopsy specimens of microcalcification clusters with malignant and benign characteristics and their 3D reconstru...
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One of the most common positioning errors in panoramic radiography is palatoglossal air space above the apices of the root of maxillary teeth. It causes a radiolucency obscuring the apices of maxillary teeth. In the case of this positioning error, the imaging should be repeated. This causes the patient be exposed to radiation again. To avoid the repetition of exposing harmful X-rays to the pati...
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عنوان ژورنال:
iranian journal of cancer preventionجلد ۵، شماره ۲، صفحات ۶۱-۶۸
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