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MWSegEval is an image analysis toolbox that provides methods to automatically segment images into regions of interest corresponding to various tissue types. The segmentation leads to the decomposition of the breast interior into disjoint tissue masks An effective array of region and distance-based metrics are applied to compare masks extracted from reconstructed images and ground truth models. The quantitative results reveal the accuracy with which the geometric and dielectric properties are reconstructed, and are supplemented with qualitative information. Consequently, the toolbox provides a framework that effectively furnishes quantitative and qualitative assessment of regions that contain a specific tissue. The resulting information facilitates comparisons that provide valuable insight into complex issues that impact image quality. This document describes how to apply the toolbox methods to microwave breast medical images.
1.2 Accessing MWSegEval toolbox through a Graphical User Interface (GUI)
2.1 Input forward and reconstruction models for processing
A. Rectangular mesh elements (Matlab)
2.2 Segment forward and reconstructed models into tissue masks
C. Comments on automatic segmentation technique
2.4 Analyze geometric properties
2.5 Analyze dielectric properties
2.6 Output csv file of metric values of each tissue type
A.1. Appendix List of metrics applied to each tissue type