A Visual Analytics System for Breast Tumor Evaluation

S. Petushi, J. Marker, J. Zhang, W. Zhu, D. Breen, C. Chen, X. Lin and F.U. Garcia, ``A Visual Analytics System for Breast Tumor Evaluation,'' Analytical and Quantitative Cytology and Histology, Vol. 30, No. 5, pp. 279-290, October 2008.

Abstract:
Objective: To develop a system for the interactive exploration and examination of histology-derived data associated with breast tumors, which may be used to evaluate the histologic grade of the tumor.
Study Design: The system integrates pathologist-generated prognostic data with 2D image analysis data, 2D digital tissue cross-sections and annotations, 3D tumor reconstructions and volumetric analysis, 3D spatial tumor display, and recorded prognostic information from available cases in the DUCOM tumor databank. The system consists of three components: 1) a user interface for applying two-dimensional (2D) image processing, segmentation and annotation to a digitized histology slide, 2) a distance field interpolation method for contour-based three-dimensional (3D) reconstruction of breast tumors, and volumetric model analysis routines, 3) a web-based database management interface for interactive data browsing and searching, and multi-modality visualization.
Results: The system has been implemented and deployed with data from 36 breast cancer cases, 7 of which have been reconstructed in 3D.
Conclusion: Interactive visual analytics technology may be used to create an effective breast tumor evaluation system.



Last modified on November 21, 2008.