Detecting contrast agents in ultrasound image sequences for tumor diagnosis

Kazumasa Noro; Koichi Ito; Yukari Yanagisawa; Maya Sakamoto; Shiro Mori; Kiyoto Shiga; Tetsuya Kodama; Takafumi Aoki

doi:10.1109/APSIPA.2014.7041598

Detecting contrast agents in ultrasound image sequences for tumor diagnosis

Kazumasa Noro, Koichi Ito, Yukari Yanagisawa, Maya Sakamoto, Shiro Mori, Kiyoto Shiga, Tetsuya Kodama, Takafumi Aoki

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper proposes a method for detecting contrast agents in ultrasound image sequences to develop diagnostic ultrasound imaging systems for tumor diagnosis. The conventional methods are based on simple subtraction of ultrasound images to detect ultrasound contrast agents, where the conventional methods need ultrasound image sequences with and without contrast agents. Even if the subject slightly moves, the detection result of the conventional methods includes significant errors. On the other hand, the proposed method employs the spatio-temporal analysis of the pixel intensity variation over several frames. The proposed method also employs motion estimation to select optimal image frames for detecting contrast agents. Through a set of experiments using mice, we demonstrate that the proposed method exhibits efficient performance compared with the conventional methods.

Original language	English
Title of host publication	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9786163618238
DOIs	https://doi.org/10.1109/APSIPA.2014.7041598
Publication status	Published - 2014 Feb 12
Event	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand Duration: 2014 Dec 9 → 2014 Dec 12

Publication series

Name	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014

Other

Other	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
Country/Territory	Thailand
City	Chiang Mai
Period	14/12/9 → 14/12/12

ASJC Scopus subject areas

Signal Processing
Information Systems

Access to Document

10.1109/APSIPA.2014.7041598

Cite this

Noro, K., Ito, K., Yanagisawa, Y., Sakamoto, M., Mori, S., Shiga, K., Kodama, T., & Aoki, T. (2014). Detecting contrast agents in ultrasound image sequences for tumor diagnosis. In 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 [7041598] (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2014.7041598

Detecting contrast agents in ultrasound image sequences for tumor diagnosis. / Noro, Kazumasa; Ito, Koichi; Yanagisawa, Yukari et al.

2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 7041598 (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Noro, K, Ito, K, Yanagisawa, Y, Sakamoto, M, Mori, S, Shiga, K, Kodama, T & Aoki, T 2014, Detecting contrast agents in ultrasound image sequences for tumor diagnosis. in 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014., 7041598, 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014, Institute of Electrical and Electronics Engineers Inc., 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014, Chiang Mai, Thailand, 14/12/9. https://doi.org/10.1109/APSIPA.2014.7041598

Noro K, Ito K, Yanagisawa Y, Sakamoto M, Mori S, Shiga K et al. Detecting contrast agents in ultrasound image sequences for tumor diagnosis. In 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 7041598. (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014). doi: 10.1109/APSIPA.2014.7041598

Noro, Kazumasa ; Ito, Koichi ; Yanagisawa, Yukari et al. / Detecting contrast agents in ultrasound image sequences for tumor diagnosis. 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014).

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abstract = "This paper proposes a method for detecting contrast agents in ultrasound image sequences to develop diagnostic ultrasound imaging systems for tumor diagnosis. The conventional methods are based on simple subtraction of ultrasound images to detect ultrasound contrast agents, where the conventional methods need ultrasound image sequences with and without contrast agents. Even if the subject slightly moves, the detection result of the conventional methods includes significant errors. On the other hand, the proposed method employs the spatio-temporal analysis of the pixel intensity variation over several frames. The proposed method also employs motion estimation to select optimal image frames for detecting contrast agents. Through a set of experiments using mice, we demonstrate that the proposed method exhibits efficient performance compared with the conventional methods.",

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AB - This paper proposes a method for detecting contrast agents in ultrasound image sequences to develop diagnostic ultrasound imaging systems for tumor diagnosis. The conventional methods are based on simple subtraction of ultrasound images to detect ultrasound contrast agents, where the conventional methods need ultrasound image sequences with and without contrast agents. Even if the subject slightly moves, the detection result of the conventional methods includes significant errors. On the other hand, the proposed method employs the spatio-temporal analysis of the pixel intensity variation over several frames. The proposed method also employs motion estimation to select optimal image frames for detecting contrast agents. Through a set of experiments using mice, we demonstrate that the proposed method exhibits efficient performance compared with the conventional methods.

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Detecting contrast agents in ultrasound image sequences for tumor diagnosis

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