TY - JOUR
T1 - Incorporation of fuzzy spatial relation in temporal mammogram registration
AU - Ma, Fei
AU - Yu, Limin
AU - Bajger, Mariusz
AU - Bottema, Murk J.
N1 - Publisher Copyright:
© 2015 Elsevier B.V.
PY - 2015/11/15
Y1 - 2015/11/15
N2 - 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.
AB - 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.
KW - Breast cancer detection
KW - Fuzzy spatial relation
KW - Temporal mammogram registration
UR - http://www.scopus.com/inward/record.url?scp=84940961884&partnerID=8YFLogxK
U2 - 10.1016/j.fss.2015.03.021
DO - 10.1016/j.fss.2015.03.021
M3 - Article
AN - SCOPUS:84940961884
SN - 0165-0114
VL - 279
SP - 87
EP - 100
JO - Fuzzy Sets and Systems
JF - Fuzzy Sets and Systems
M1 - 6780
ER -