Incorporation of fuzzy spatial relation in temporal mammogram registration

Fei Ma, Limin Yu, Mariusz Bajger, Murk Bottema

    Research output: Contribution to journalArticlepeer-review

    3 Citations (Scopus)

    Abstract

    This paper presents a method for incorporating fuzzy sets based spatial relations in registering temporal mammogram pairs. In the proposed method, four spatial relations, to the right of, to the left of, below, and above, are considered. The histogram of all possible angles between all pairs of points in a pair of regions of interest (ROIs) is treated as a fuzzy set and spatial relations between the pair of ROIs are characterized by measuring to what degree this fuzzy set approaches the four spatial relations. Based on the spatial relations, association of ROIs of temporal mammogram pairs is then treated as a graph matching problem and registration of temporal mammogram pairs is realized by finding the common subgraph between two graphs representing a pair of temporal mammograms. 95 pairs of real temporal mammograms are used to test the proposed method. 70.8% of matched ROI pairs are visually identified as "good" matches. When the registration results are incorporated in a cancer detection scheme, the Az score (area under the ROC curve) is improved from 0.846 to 0.852. The results demonstrated that registration of temporal mammograms based on fuzzy spatial relations improves the overall detection efficiency.

    Original languageEnglish
    Article number6780
    Pages (from-to)87-100
    Number of pages14
    JournalFUZZY SETS AND SYSTEMS
    Volume279
    Issue numberArticle: 6780
    DOIs
    Publication statusPublished - 15 Nov 2015

    Keywords

    • Breast cancer detection
    • Fuzzy spatial relation
    • Temporal mammogram registration

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