Lung nodule diagnosis using 3D template matching

Authors:
Onur Osman;Serhat Ozekes;Osman N. Ucan
Affiliations:
Istanbul Commerce University, Ragip Gumuspala Cad. No.:84 34378 Eminonu, Istanbul, Turkey;Istanbul Commerce University, Ragip Gumuspala Cad. No.:84 34378 Eminonu, Istanbul, Turkey;Electrical and Electronics Engineering Department, Engineering Faculty, Istanbul University, 34850, Avcilar, Istanbul, Turkey
Venue:
Computers in Biology and Medicine
Year:
2007

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Abstract

In this paper, to utilize the third dimension of Computed Tomography, regions of interest (ROI) slices were combined to form 3D ROI image and a 3D template was determined to find the structures with similar properties of nodules. Convolution of 3D ROI image with the proposed template strengthens the shapes similar to the template and weakens the other ones. False-positive (FP) per nodule and per slice versus diagnosis sensitivity were obtained. The Computer Aided Diagnosis system achieved 100% sensitivity with 0.83FP per nodule and 0.46FP per slice, when the nodule thickness was greater than or equal to 5.625mm.