Document Type

Conference Paper

Publication Date

2006

DOI

10.1117/12.655680

Publication Title

Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, Proceedings of SPIE Volume 6143

Volume

6143

Pages

614336

Conference Name

Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, February 11-16, 2006, San Diego, California

Abstract

The computed tomographic colonography (CTC) computer aided detection (CAD) program is a new method in development to detect colon polyps in virtual colonoscopy. While high sensitivity is consistently achieved, additional features are desired to increase specificity. In this paper, a wavelet analysis was applied to CTCCAD outputs in an attempt to filter out false positive detections. 52 CTCCAD detection images were obtained using a screen capture application. 26 of these images were real polyps, confirmed by optical colonoscopy and 26 were false positive detections. A discrete wavelet transform of each image was computed with the MATLAB wavelet toolbox using the Haar wavelet at levels 1-5 in the horizontal, vertical and diagonal directions. From the resulting wavelet coefficients at levels 1-3 for all directions, a 72 feature vector was obtained for each image, consisting of descriptive statistics such as mean, variance, skew, and kurtosis at each level and orientation, as well as error statistics based on a linear predictor of neighboring wavelet coefficients. The vectors for each of the 52 images were then run through a support vector machine (SVM) classifier using ten-fold cross-validation training to determine its efficiency in distinguishing polyps from false positives. The SVM results showed 100% sensitivity and 51% specificity in correctly identifying the status of detections. If this technique were added to the filtering process of the CTCCAD polyp detection scheme, the number of false positive results could be reduced significantly.

Rights

Copyright 2006 Society of Photo‑Optical Instrumentation Engineers (SPIE).

One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.

Original Publication Citation

Greenblum, S., Li, J., Huang, A., & Summers, R. M. (2006) Wavelet analysis in virtual colonoscopy. In A. Manduca & A.A. Amini (Eds.), Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, Proceedings of SPIE Volume 6143 (614336). SPIE. https://doi.org/10.1117/12.655680

ORCID

0000-0003-0091-6986 (Li)

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