Development of a 3D model of clinically relevant microcalcifications

Ann-Katherine Carton; Clement Jailin; Raoul De Silva; Ruben Sanchez De la Rosa; Serge Muller

doi:10.1117/12.2625771

13 July 2022 Development of a 3D model of clinically relevant microcalcifications

Ann-Katherine Carton, Clement Jailin, Raoul De Silva, Ruben Sanchez De la Rosa, Serge Muller

Proceedings Volume 12286, 16th International Workshop on Breast Imaging (IWBI2022); 1228602 (2022) https://doi.org/10.1117/12.2625771
Event: Sixteenth International Workshop on Breast Imaging, 2022, Leuven, Belgium

Abstract

A realistic 3D anthropomorphic software model of microcalcifications may serve as a useful tool to assess the performance of breast imaging applications through simulations. We present a method allowing to simulate visually realistic microcalcifications with large morphological variability. Principal component analysis (PCA) was used to analyze the shape of 281 biopsied microcalcifications imaged with a micro-CT. The PCA analysis requires the same number of shape components for each input microcalcification. Therefore, the voxel-based microcalcifications were converted to a surface mesh with same number of vertices using a marching cube algorithm. The vertices were registered using an iterative closest point algorithm and a simulated annealing algorithm. To evaluate the approach, input microcalcifications were reconstructed by progressively adding principal components. Input and reconstructed microcalcifications were visually and quantitatively compared. New microcalcifications were simulated using randomly sampled principal components determined from the PCA applied to the input microcalcifications, and their realism was appreciated through visual assessment. Preliminary results have shown that input microcalcifications can be reconstructed with high visual fidelity when using 62 principal components, representing 99.5% variance. For that condition, the average L2 norm and dice coefficient were respectively 10.5 μm and 0.93. Newly generated microcalcifications with 62 principal components were found to be visually similar, while not identical, to input microcalcifications. The proposed PCA model of microcalcification shapes allows to successfully reconstruct input microcalcifications and to generate new visually realistic microcalcifications with various morphologies.

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Ann-Katherine Carton, Clement Jailin, Raoul De Silva, Ruben Sanchez De la Rosa, and Serge Muller "Development of a 3D model of clinically relevant microcalcifications", Proc. SPIE 12286, 16th International Workshop on Breast Imaging (IWBI2022), 1228602 (13 July 2022); https://doi.org/10.1117/12.2625771

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KEYWORDS

Principal component analysis

3D modeling

Databases

3D image processing

Image segmentation

Shape analysis

Breast

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