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Proceedings Paper

Content-based ultrasound image retrieval using magnitude frequency spectrum
Author(s): Jae Gon Son; Jong In Kwak; Sang Hyun Kim; Nam Chul Kim
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Paper Abstract

We propose an efficient method for content-based ultrasound image retrieval using magnitude frequency spectrum and implement an ultrasound image retrieval system based on the proposed method. The target images are ultrasound images of adult organs. A trained staff often acquires such images so that images of the same kind of organs are very similar, although their locations may not exactly coincide. Therefore, the magnitude frequency spectrum, which has a translation-invariant property, is used as a feature for content-based retrieval. A test image database is composed of real ultrasound images. As a retrieval result, a specified number of highly similar target images are retrieved from all the target images. If all the target images in the database are pre-classified into organs of the same kind, the retrieved images are selected among the images whose class is the same as that of the highest similarity image. Experimental results of the proposed method is superior to other methods. The proposed method especially yields further performance improvement by using the pre-classification. Moreover, it is found from the experimental results that the magnitude frequency spectrum method is robust to the speckle noise that usually exists in ultrasound images.

Paper Details

Date Published: 30 May 2001
PDF: 8 pages
Proc. SPIE 4325, Medical Imaging 2001: Ultrasonic Imaging and Signal Processing, (30 May 2001); doi: 10.1117/12.428219
Show Author Affiliations
Jae Gon Son, Kyungpook National Univ. (South Korea)
Jong In Kwak, Kyungpook National Univ. (South Korea)
Sang Hyun Kim, Medison Co., Ltd. (South Korea)
Nam Chul Kim, Kyungpook National Univ. (South Korea)


Published in SPIE Proceedings Vol. 4325:
Medical Imaging 2001: Ultrasonic Imaging and Signal Processing
Michael F. Insana; K. Kirk Shung, Editor(s)

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