Three-dimensional modeling of microcalcification clusters using breast tomosynthesisA preliminary study

Authors Organisations
Type Conference Proceeding (Non-Journal item)
Original languageEnglish
Title of host publication15th International Workshop on Breast Imaging, IWBI 2020
EditorsHilde Bosmans, Nicholas Marshall, Chantal Van Ongeval
ISBN (Electronic)9781510638310
Publication statusPublished - 22 May 2020
Event15th International Workshop on Breast Imaging, IWBI 2020 - Leuven, Belgium
Duration: 25 May 202027 May 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


Conference15th International Workshop on Breast Imaging, IWBI 2020
Period25 May 202027 May 2020
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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 microcalcifications (MC) clusters to help the early detection of breast cancer. We adopted the 3L algorithm for implicit B-spline (IBS) fitting to investigate the robustness of 3D models of microcalcification (MC) clusters for classifying benign and malignant cases. Point clouds were initially generated from tomosynthesis slices. Two additional o�set points were generated to support the original point clouds for detailed 3D modeling. Before fitting the splines, the point clouds were normalized into a unit cube lattice. A‰er modeling individual MCs into a unit cubic lattice, 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% classification accuracy.


  • 3D modeling, Classification, Curve and surface fling, Microcalci?cation, Tomosynthesis