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Proceedings Paper

Interactive ultrasound image retrieval using magnitude frequency spectrum
Author(s): Jae Gon Son; Nam Chul Kim; Young Deok Chun; Jun Hyo Park; Jun Ik Bae
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Paper Abstract

An efficient algorithm is proposed for interactive ultrasound image retrieval using magnitude frequency spectrum (MFS). The interactive retrieval is especially intended to be useful for training an intern to diagnose with ultrasound images. In the retrieval process, information on which are relevant to a query image among object images retrieved in the previous iteration is fed back by user interaction. In order to improve discrimination between a query image and each of object images in a database (DB) by using the MFS, which is powerful for ultrasound image retrieval, we incorporate feature vector normalization and root filtering in feature extraction. To effectively integrate the feedback information, we use a feedback scheme based on Rocchio equation, where the feature of a query image is replaced with the weighted average of the feature of a query image and those of object images. Experimental results for real ultrasound images show that while yielding a precision of about 75% at a recall of about 8% in the initial retrieval, the interactive procedure yields a great performance improvement, that is, a precision of about 95% in the third iteration.

Paper Details

Date Published: 23 May 2003
PDF: 9 pages
Proc. SPIE 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing, (23 May 2003); doi: 10.1117/12.479905
Show Author Affiliations
Jae Gon Son, Samsung Electronics Co., Ltd. (South Korea)
Nam Chul Kim, Kyungpook National Univ. (South Korea)
Young Deok Chun, Kyungpook National Univ. (South Korea)
Jun Hyo Park, Kyungpook National Univ. (South Korea)
Jun Ik Bae, Kyungpook National Univ. (South Korea)


Published in SPIE Proceedings Vol. 5035:
Medical Imaging 2003: Ultrasonic Imaging and Signal Processing
William F. Walker; Michael F. Insana, Editor(s)

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