Algorithm for Morphological Cancer Detection

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Algorithm for Morphological Cancer Detection Carmalyn Lubawy Melissa Skala ECE 533 Fall 2004 Project

Background Cancer diagnosis relies on morphological differences between normal and cancerous tissues Cancerous cells are more disorganized than normal cells Multiphoton microscopy has been used to evaluate cell morphology in normal and cancerous tissues Normal Cancer 255 128

Goal Develop an algorithm that provides relative differences in cell organization between multiphoton images of normal and cancerous tissues1 1. Fitzke, F.W., Fourier Transform Analysis of Human Corneal Endothelial Specular Photomicrographs. Exp Eye Res, 1997. 65

Algorithm Flowchart Input Image Median Filter Unsharp Mask Threshold FFT Log Mean Filter Line Plot

Original data Normal 1 Cancer 1 Normal 2 Cancer 2

After Median filter Normal 1 Cancer 1 Normal 2 Cancer 2

After Unsharp Mask Normal 1 Cancer 1 Normal 2 Cancer 2

After Threshold Normal 1 Cancer 1 Normal 2 Cancer 2

After FFT Normal 1 Cancer 1 Normal 2 Cancer 2

After Log Normal 1 Cancer 1 Normal 2 Cancer 2

After Mean Filter Normal 1 Cancer 1 Normal 2 Cancer 2

Final graph Normal 1 Cancer 1 Normal 2 Cancer 2

Conclusions Normal cells have peak at a spatial frequency of about 127 mm-1 Normal cells are about 7.8 mm wide Image processing allows for automatic evaluation of differences in cell organization between normal and cancerous tissues