Computer Aided Diagnosis in Mammography Microcalcification Analysis

Nadin Jamal Abualroos, Norlaili Ahmad Kabir

Abstract


Objectives: The project aims to resolve missed or overlooked breast cancer lesions particularly due to dense breast structure. Dense breast makes microcalcifications difficult to be detected as both normal breast tissue and microcalcification appear white on mammograms. The carry out the project, a breast phantom was fabricated, and ImageJ software was used to improve the visibility of microcalcification.

Methods: The phantom was fabricated, and the physical properties showed similarity to that of breast tissues. Calcium-Carbonate powder simulated microcalcifications. Images were acquired using CR mammography. The images acquired were post processed by ImageJ software through applying thresholding technique to help detection of subtle microcalcifications.

Results: Microcalcifications appearance enhanced by threshold technique. The resultant images showed increasing in the contrast value at ROI from 3.9, 2.2, and 4.2 to 7.2, 6.8, and 7.6 respectively.

Conclusion: The differences in contrast values were more consequential in areas of low Calcium Carbonate concentration after applying threshold technique.


Keywords


Microcalcification – Mammography – Computer Aided Diagnosis – ImageJ software – breast cancer

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DOI: https://doi.org/10.24203/ajas.v7i2.5591

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