An Adaptive Similarity Measure for Automated Identification of Breast Lesions in Temporal Pairs of Mammograms for Interval Change Analysis

Hadjiiski, Lubomir M.; Sahiner, Berkman; Chan, Heang-Ping; Petrick, Nicholas; Helvie, Mark A.

doi:10.1007/978-3-642-59327-7_71

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“…Gopal et al [8][9][10] and Hadjiiski et al 11 have developed a multistage technique that defines the transformation to locally map the position of the mass on a current mammogram to that of the prior mammogram. A local search for the mass is then performed on the prior mammogram.…”

Section: Introductionmentioning

confidence: 99%

Automated registration of breast lesions in temporal pairs of mammograms for interval change analysis—local affine transformation for improved localization

Hadjiiski¹,

Chan²,

Sahiner³

et al. 2001

Medical Physics

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Analysis of interval change is important for mammographic interpretation. The aim of this study is to evaluate the use of an automated registration technique for computer-aided interval change analysis in mammography. Previously we developed a regional registration technique for identifying masses on temporal pairs of mammograms. In the current study, we improved lesion registration by including a local alignment step. Initially, the lesion position on the prior mammogram was estimated based on the breast geometry. An initial fan-shaped search region was then defined on the prior mammogram. In the second stage, the location of the fan-shaped region on the prior mammogram was refined by warping, based on an affine transformation and simplex optimization in a local region. In the third stage, a search for the best match between the lesion template from the current mammogram and a structure on the prior mammogram was carried out within the search region. This technique was evaluated on 124 temporal pairs of mammograms containing biopsyproven masses. Eighty-seven percent of the estimated lesion locations resulted in an area overlap of at least 50% with the true lesion locations and an average distance of 2.4 +/- 2.1 mm between their centroids. The average distance between the estimated and the true centroid of the lesions on the prior mammogram over all 124 temporal pairs was 4.2 +/- 5.7 mm. The registration accuracy was improved in comparison with our previous study that used a data set of 74 temporal pairs of mammograms. This improvement in accuracy resulted from the improved geometry estimation and the local affine transformation.

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Section: Introductionmentioning

confidence: 99%