Organ recognition in ultrasound images using log power spectrum

Su Jin Park; Jae Gon Son; Nam Chul Kim

doi:10.1117/12.462177

11 April 2002 Organ recognition in ultrasound images using log power spectrum

Su Jin Park, Jae Gon Son, Nam Chul Kim

Author Affiliations +

Proceedings Volume 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing; (2002) https://doi.org/10.1117/12.462177
Event: Medical Imaging 2002, 2002, San Diego, California, United States

Abstract

In this paper, we propose an efficient algorithm for organ recognition in ultrasound images using log power spectrum. The main procedure of the algorithm consists of feature extraction and feature classification. In the feature extraction, as a translation invariant feature, log power spectrum is used for extracting the information on the echo of organ tissues from a preprocessed input image. In the feature classification, Mahalanobis distance is used as a measure of the similarity between the feature of an input image and the representative feature of each class. Experimental results for real ultrasound images show that the proposed algorithm yields the maximum 30% improvement of recognition rate over the recognition algorithm using power spectrum and Euclidean distance, and results in 10-40% improvement of recognition rate over the recognition algorithm using weighted quefrency complex cepstrum.

Citation Download Citation

Su Jin Park, Jae Gon Son, and Nam Chul Kim "Organ recognition in ultrasound images using log power spectrum", Proc. SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing, (11 April 2002); https://doi.org/10.1117/12.462177

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