A visual analytics system for breast tumor evaluation.

OBJECTIVE To develop a system for the interactive exploration and examination of histologically derived data that is associated with breast tumors and may be used to evaluate the histologic grade of the tumor. STUDY DESIGN The system integrates pathologist-generated prognostic data with 2-dimensional (2-D) image analysis data, 2-D digital tissue cross-sections and annotations, 3-dimensional (3-D) tumor reconstructions and volumetric analysis, 3D spatial tumor display and recorded prognostic information from available cases in the Drexel University College of Medicine tumor databank. The system consists of 3 components: (1) a user interface for applying 2-D image processing, segmentation and annotation to a digitized histology slide, (2) a distance field interpolation method for contour-based 3D reconstruction of breast tumors and volumetric model analysis routines and (3) a Web-based database management interface for interactive data browsing and searching and multimodality visualization. RESULTS The system has been implemented and deployed with data from 36 breast cancer cases, 7 of which have been reconstructed in 3-D. CONCLUSION Interactive visual analytics technology may be used to create an effective breast tumor evaluation system.

[1]  J. Hyman Accurate Monotonicity Preserving Cubic Interpolation , 1983 .

[2]  S. Bramble Image analysis for the biological sciences , 1996 .

[3]  G. Kayser,et al.  Theory and implementation of an electronic, automated measurement system for images obtained from immunohistochemically stained slides. , 2006, Analytical and quantitative cytology and histology.

[4]  Satoru Kawai,et al.  An Algorithm for Drawing General Undirected Graphs , 1989, Inf. Process. Lett..

[5]  David E. Breen,et al.  Contour-Based Surface Reconstruction using Implicit Curve Fitting, and Distance Field Filtering and Interpolation , 2006, VG@SIGGRAPH.

[6]  H. Seidel,et al.  Multi-level partition of unity implicits , 2003 .

[7]  S. C. Hui,et al.  International Journal of the Computer, the Internet and Management , 2000 .

[8]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[9]  J A Sethian,et al.  A fast marching level set method for monotonically advancing fronts. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[10]  Constantine Katsinis,et al.  Automated identification of microstructures on histology slides , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

[11]  Graham W. Horgan,et al.  Image analysis for the biological sciences , 1997 .

[12]  Klaus Kayser,et al.  Grid technology in tissue-based diagnosis: fundamentals and potential developments , 2006, Diagnostic pathology.

[13]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[14]  N. Hata,et al.  An integrated visualization system for surgical planning and guidance using image fusion and an open MR , 2001, Journal of magnetic resonance imaging : JMRI.

[15]  Mary Helen Barcellos-Hoff,et al.  System for combined three‐dimensional morphological and molecular analysis of thick tissue specimens , 2002, Microscopy research and technique.

[16]  W. N. Street,et al.  Xcyt: a System for Remote Cytological Diagnosis and Prognosis of Breast Cancer , 2000 .

[17]  Nor Ashidi Mat Isa,et al.  Breast Cancer Diagnosis Systems: A Review. , 2006 .

[18]  Constantine Katsinis,et al.  Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer , 2006, BMC Medical Imaging.

[19]  G. Kayser,et al.  Towards an automated virtual slide screening: theoretical considerations and practical experiences of automated tissue-based virtual diagnosis to be implemented in the Internet , 2006, Diagnostic pathology.

[20]  John C. Russ,et al.  The Image Processing Handbook , 2016, Microscopy and Microanalysis.

[21]  S. Osher,et al.  Algorithms Based on Hamilton-Jacobi Formulations , 1988 .