Automated Quality Assurance Applied to Mammographic Imaging

Lilian Blot, Anne Davis, Mike Holubinka, Robert Martí, Reyer Zwiggelaar
2002 EURASIP Journal on Advances in Signal Processing  
Quality control in mammography is based upon subjective interpretation of the image quality of a test phantom. In order to suppress subjectivity due to the human observer, automated computer analysis of the Leeds TOR(MAM) test phantom is investigated. Texture analysis via grey-level co-occurrence matrices is used to detect structures in the test object. Scoring of the substructures in the phantom is based on grey-level differences between regions and information from grey-level co-occurrence
more » ... el co-occurrence matrices. The results from scoring groups of particles within the phantom are presented.
doi:10.1155/s1110865702203029 fatcat:2oy5axxuqrffrdkvj2em7clqva