An improved noise robust localized motion imaging for monitoring HIFU treatment

Xiaolei Qu; Takashi Azuma; Ryusuke Sugiyama; Kengo Kanazawa; Mika Seki; Akira Sasaki; Hideki Takeuchi; Shu Takagi; Ichiro Sakuma; Yoichiro Matsumoto; Satoshi Tamano; Keisuke Fujiwara; Kazunori Itani

doi:10.1109/ULTSYM.2015.0320

An improved noise robust localized motion imaging for monitoring HIFU treatment

Xiaolei Qu
, Takashi Azuma
, Ryusuke Sugiyama
, Kengo Kanazawa
, Mika Seki
, Akira Sasaki
, Hideki Takeuchi
, Shu Takagi
, Ichiro Sakuma
, Yoichiro Matsumoto
, Satoshi Tamano
, Keisuke Fujiwara
, Kazunori Itani

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

Abstract

High intensity focused ultrasound (HIFU) is a minimally invasive treatment modality for cancerous tumors. The monitoring of HIFU treatment is extremely important. Localized motion imaging (LMI) is a HIFU monitoring method basing on Harmonic motion method (HMI). It estimates the coagulation length by detecting the change of tissue stiffness. However, the previous LMI is not robust to noise, thus two techniques are employed to improve its noise robustness in this study. First, dynamic cross correlation window (DCCW) is used to obtain vibration amplitude with noise suppression. Second, vibration-frequency band pass filter (VBPF) is employed to calculate the amount of vibration with expected frequency. The qualitative evaluation indicates that the two techniques are able to suppress the affection of noise on the vibration amplitude and vibration amount, respectively. Furthermore, the quantitative comparison demonstrates that the improved LMI is able to give higher accuracy of coagulation length estimation than the previous LMI, and it reduces the root mean square error (RMSE) from 2.52 to 1.84 mm. In this article, an improved noise robust LMI is proposed for monitoring HIFU treatment.

Original language	English
Title of host publication	2015 IEEE International Ultrasonics Symposium, IUS 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479981823
DOIs	https://doi.org/10.1109/ULTSYM.2015.0320
State	Published - 13 Nov 2015
Externally published	Yes
Event	IEEE International Ultrasonics Symposium, IUS 2015 - Taipei, Taiwan, Province of China Duration: 21 Oct 2015 → 24 Oct 2015

Publication series

Name	2015 IEEE International Ultrasonics Symposium, IUS 2015

Conference

Conference	IEEE International Ultrasonics Symposium, IUS 2015
Country/Territory	Taiwan, Province of China
City	Taipei
Period	21/10/15 → 24/10/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

High intensity focused ultrasound
Treatment monitoring
localized motion imaigng
noise robustness

Access to Document

10.1109/ULTSYM.2015.0320

Cite this

Qu, X., Azuma, T., Sugiyama, R., Kanazawa, K., Seki, M., Sasaki, A., Takeuchi, H., Takagi, S., Sakuma, I., Matsumoto, Y., Tamano, S., Fujiwara, K., & Itani, K. (2015). An improved noise robust localized motion imaging for monitoring HIFU treatment. In 2015 IEEE International Ultrasonics Symposium, IUS 2015 Article 7329472 (2015 IEEE International Ultrasonics Symposium, IUS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ULTSYM.2015.0320

@inproceedings{8388b790acc34f1ea7596fc5b63c7f81,

title = "An improved noise robust localized motion imaging for monitoring HIFU treatment",

abstract = "High intensity focused ultrasound (HIFU) is a minimally invasive treatment modality for cancerous tumors. The monitoring of HIFU treatment is extremely important. Localized motion imaging (LMI) is a HIFU monitoring method basing on Harmonic motion method (HMI). It estimates the coagulation length by detecting the change of tissue stiffness. However, the previous LMI is not robust to noise, thus two techniques are employed to improve its noise robustness in this study. First, dynamic cross correlation window (DCCW) is used to obtain vibration amplitude with noise suppression. Second, vibration-frequency band pass filter (VBPF) is employed to calculate the amount of vibration with expected frequency. The qualitative evaluation indicates that the two techniques are able to suppress the affection of noise on the vibration amplitude and vibration amount, respectively. Furthermore, the quantitative comparison demonstrates that the improved LMI is able to give higher accuracy of coagulation length estimation than the previous LMI, and it reduces the root mean square error (RMSE) from 2.52 to 1.84 mm. In this article, an improved noise robust LMI is proposed for monitoring HIFU treatment.",

keywords = "High intensity focused ultrasound, Treatment monitoring, localized motion imaigng, noise robustness",

author = "Xiaolei Qu and Takashi Azuma and Ryusuke Sugiyama and Kengo Kanazawa and Mika Seki and Akira Sasaki and Hideki Takeuchi and Shu Takagi and Ichiro Sakuma and Yoichiro Matsumoto and Satoshi Tamano and Keisuke Fujiwara and Kazunori Itani",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Ultrasonics Symposium, IUS 2015 ; Conference date: 21-10-2015 Through 24-10-2015",

year = "2015",

month = nov,

day = "13",

doi = "10.1109/ULTSYM.2015.0320",

language = "英语",

series = "2015 IEEE International Ultrasonics Symposium, IUS 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2015 IEEE International Ultrasonics Symposium, IUS 2015",

address = "美国",

}

Qu, X, Azuma, T, Sugiyama, R, Kanazawa, K, Seki, M, Sasaki, A, Takeuchi, H, Takagi, S, Sakuma, I, Matsumoto, Y, Tamano, S, Fujiwara, K & Itani, K 2015, An improved noise robust localized motion imaging for monitoring HIFU treatment. in 2015 IEEE International Ultrasonics Symposium, IUS 2015., 7329472, 2015 IEEE International Ultrasonics Symposium, IUS 2015, Institute of Electrical and Electronics Engineers Inc., IEEE International Ultrasonics Symposium, IUS 2015, Taipei, Taiwan, Province of China, 21/10/15. https://doi.org/10.1109/ULTSYM.2015.0320

An improved noise robust localized motion imaging for monitoring HIFU treatment. / Qu, Xiaolei; Azuma, Takashi; Sugiyama, Ryusuke et al.
2015 IEEE International Ultrasonics Symposium, IUS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7329472 (2015 IEEE International Ultrasonics Symposium, IUS 2015).

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

TY - GEN

T1 - An improved noise robust localized motion imaging for monitoring HIFU treatment

AU - Qu, Xiaolei

AU - Azuma, Takashi

AU - Sugiyama, Ryusuke

AU - Kanazawa, Kengo

AU - Seki, Mika

AU - Sasaki, Akira

AU - Takeuchi, Hideki

AU - Takagi, Shu

AU - Sakuma, Ichiro

AU - Matsumoto, Yoichiro

AU - Tamano, Satoshi

AU - Fujiwara, Keisuke

AU - Itani, Kazunori

PY - 2015/11/13

Y1 - 2015/11/13

N2 - High intensity focused ultrasound (HIFU) is a minimally invasive treatment modality for cancerous tumors. The monitoring of HIFU treatment is extremely important. Localized motion imaging (LMI) is a HIFU monitoring method basing on Harmonic motion method (HMI). It estimates the coagulation length by detecting the change of tissue stiffness. However, the previous LMI is not robust to noise, thus two techniques are employed to improve its noise robustness in this study. First, dynamic cross correlation window (DCCW) is used to obtain vibration amplitude with noise suppression. Second, vibration-frequency band pass filter (VBPF) is employed to calculate the amount of vibration with expected frequency. The qualitative evaluation indicates that the two techniques are able to suppress the affection of noise on the vibration amplitude and vibration amount, respectively. Furthermore, the quantitative comparison demonstrates that the improved LMI is able to give higher accuracy of coagulation length estimation than the previous LMI, and it reduces the root mean square error (RMSE) from 2.52 to 1.84 mm. In this article, an improved noise robust LMI is proposed for monitoring HIFU treatment.

AB - High intensity focused ultrasound (HIFU) is a minimally invasive treatment modality for cancerous tumors. The monitoring of HIFU treatment is extremely important. Localized motion imaging (LMI) is a HIFU monitoring method basing on Harmonic motion method (HMI). It estimates the coagulation length by detecting the change of tissue stiffness. However, the previous LMI is not robust to noise, thus two techniques are employed to improve its noise robustness in this study. First, dynamic cross correlation window (DCCW) is used to obtain vibration amplitude with noise suppression. Second, vibration-frequency band pass filter (VBPF) is employed to calculate the amount of vibration with expected frequency. The qualitative evaluation indicates that the two techniques are able to suppress the affection of noise on the vibration amplitude and vibration amount, respectively. Furthermore, the quantitative comparison demonstrates that the improved LMI is able to give higher accuracy of coagulation length estimation than the previous LMI, and it reduces the root mean square error (RMSE) from 2.52 to 1.84 mm. In this article, an improved noise robust LMI is proposed for monitoring HIFU treatment.

KW - High intensity focused ultrasound

KW - Treatment monitoring

KW - localized motion imaigng

KW - noise robustness

UR - https://www.scopus.com/pages/publications/84962026475

U2 - 10.1109/ULTSYM.2015.0320

DO - 10.1109/ULTSYM.2015.0320

M3 - 会议稿件

AN - SCOPUS:84962026475

T3 - 2015 IEEE International Ultrasonics Symposium, IUS 2015

BT - 2015 IEEE International Ultrasonics Symposium, IUS 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Ultrasonics Symposium, IUS 2015

Y2 - 21 October 2015 through 24 October 2015

ER -

An improved noise robust localized motion imaging for monitoring HIFU treatment

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this