Figure 7

Flowchart for the IRI-Numerical Engine for enhanced and robust breast cancer detection. The process starts with the IRI-Numerical Engine asking the user through the Domina Input UI to manual input the domain of the patient-specific model to generate the initial parameters. The patient-specific model and initial parameters are then utilized by ANSYS Fluent to conduct thermal simulation of breast cancer. The Geometric Alignment UI in Fluent then rotates and moves the model around to match the IR image views and once finished computed images are generated. The computed images and associated IR images go through an Image Registration UI which logs the images and compares them through an alignment decision algorithm. If they are not aligned, the Image Registration UI waits for new computed images for comparison. If they are aligned, the ROI Selector UI is activated, and the user can select the ROI to be generated by the ROI Generator. From here the process is the same as the inverse heat transfer breast detection process shown in Fig. 5, but a fail-safe procedure is conducted by saving after the creation of the new parameters. The flowchart legend on the left shows the significance and distinction between shapes, shape colors, and arrow colors. All enhancements are shown in orange and the one new shape added is the trapezoid which indicates a UI process.