DocumentCode
1841636
Title
Detection of Microcalcifications in Digital Mammograms
Author
Lopez-Aligue, F.J. ; Poveda-Pierola, A. ; Acevedo-Sotoca, I. ; Garcia-Urra, F.
Author_Institution
Univ. of Extremadura, Badajoz
fYear
2007
fDate
22-26 Aug. 2007
Firstpage
3906
Lastpage
3909
Abstract
A method is described for processing digital mammograms to detect microcalcifications that, although they may be so small that they are almost undetectable visually, could be indicators of a possible malignancy. The process consists of three stages. In the first, zones of the mammogram that potentially correspond to microcalcifications are extracted. This is done by analyzing the distribution of brightnesses over the entire mammogram, seeking structures that are typical of microcalcifications. The resulting images are passed to the second stage, in which localized clusters are identified as regions-of- interest (ROI). The third stage retrieves any information that might have been lost in the previous stages. The end result is a mammogram in which the few ROIs that reached the final phase -and which, in reality, are those that could be of true medical interest- clearly stand out. The system was tested against the DDSM mammogram database. All of the malignant and benign lesions were located perfectly, as well as some difficult-to-classify calcified formations. The system is now fully operational, accepting, as well as the database images, both digital and analogical mammograms.
Keywords
biological tissues; mammography; DDSM mammogram database; benign lesions; digital mammograms; malignant lesions; microcalcifications; Biomedical imaging; Brightness; Data mining; Delta-sigma modulation; Image databases; Information retrieval; Lesions; Magnetic resonance imaging; Mammography; Ultrasonic imaging; Calcinosis; Databases, Factual; Female; Humans; Image Processing, Computer-Assisted; Mammography; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location
Lyon
ISSN
1557-170X
Print_ISBN
978-1-4244-0787-3
Type
conf
DOI
10.1109/IEMBS.2007.4353187
Filename
4353187
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