Three-dimensional modeling of microcalciﬁcation clusters using breast tomosynthesis: a preliminary study

Nashid Alam; Predrag R. Bakic; Reyer Zwiggelaar

doi:10.1117/12.2563357

22 May 2020 Three-dimensional modeling of microcalciﬁcation clusters using breast tomosynthesis: a preliminary study

Nashid Alam, Predrag R. Bakic, Reyer Zwiggelaar

Proceedings Volume 11513, 15th International Workshop on Breast Imaging (IWBI2020); 115130A (2020) https://doi.org/10.1117/12.2563357
Event: Fifteenth International Workshop on Breast Imaging, 2020, Leuven, Belgium

Abstract

Computer aided diagnosis (CADx) systems for digital mammography mostly rely on 2D techniques. With the emergence of three-dimensional (3D) breast imaging modalities, such as digital breast tomosynthesis (DBT), there is an opportunity to create 3D models and analyze 3D features to classify microcalcications (MC) clusters to help the early detection of breast cancer. We adopted the 3L algorithm for implicit B-spline (IBS) ing to investigate the robustness of 3D models of microcalcication (MC) clusters for classifying benign and malignant cases. Point clouds were initially generated from tomosynthesis slices. Two additional oset points were generated to support the original point clouds for detailed 3D modeling. Before ing the splines, the point clouds were normalized into a unit cube laice. Aer modeling individual MCs into a unit cubic laice, they are all located in a 3D space according to their spatial location in the tomosynthesis images to form a cluster. Features were extracted from the 3D model of MC clusters. With selected features we obtained 80% classication accuracy.

Citation Download Citation

Nashid Alam, Predrag R. Bakic, and Reyer Zwiggelaar "Three-dimensional modeling of microcalciﬁcation clusters using breast tomosynthesis: a preliminary study", Proc. SPIE 11513, 15th International Workshop on Breast Imaging (IWBI2020), 115130A (22 May 2020); https://doi.org/10.1117/12.2563357

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