A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment

Rohith Reddy Gundreddy; Maxine Tan; Yuchen Qui; Bin Zheng

doi:10.1117/12.2081957

20 March 2015 A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment

Rohith Reddy Gundreddy, Maxine Tan, Yuchen Qui, Bin Zheng

Author Affiliations +

Proceedings Volume 9414, Medical Imaging 2015: Computer-Aided Diagnosis; 941420 (2015) https://doi.org/10.1117/12.2081957
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

The purpose of this study is to develop and test a new content-based image retrieval (CBIR) scheme that enables to achieve higher reproducibility when it is implemented in an interactive computer-aided diagnosis (CAD) system without significantly reducing lesion classification performance. This is a new Fourier transform based CBIR algorithm that determines image similarity of two regions of interest (ROI) based on the difference of average regional image pixel value distribution in two Fourier transform mapped images under comparison. A reference image database involving 227 ROIs depicting the verified soft-tissue breast lesions was used. For each testing ROI, the queried lesion center was systematically shifted from 10 to 50 pixels to simulate inter-user variation of querying suspicious lesion center when using an interactive CAD system. The lesion classification performance and reproducibility as the queried lesion center shift were assessed and compared among the three CBIR schemes based on Fourier transform, mutual information and Pearson correlation. Each CBIR scheme retrieved 10 most similar reference ROIs and computed a likelihood score of the queried ROI depicting a malignant lesion. The experimental results shown that three CBIR schemes yielded very comparable lesion classification performance as measured by the areas under ROC curves with the p-value greater than 0.498. However, the CBIR scheme using Fourier transform yielded the highest invariance to both queried lesion center shift and lesion size change. This study demonstrated the feasibility of improving robustness of the interactive CAD systems by adding a new Fourier transform based image feature to CBIR schemes.

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Rohith Reddy Gundreddy, Maxine Tan, Yuchen Qui, and Bin Zheng "A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment", Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 941420 (20 March 2015); https://doi.org/10.1117/12.2081957

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KEYWORDS

Fourier transforms

Computer aided design

Computer aided diagnosis and therapy

Databases

Image processing

Image segmentation

Image retrieval

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