Heart motion evaluation indexes using ultrasonic RF signal

Yosuke Mizutani; Shinji Tsuruoka; Hiroharu Kawanaka; Tsuyoshi Shinogi; Wataru Ohyama; Kiyotsugu Sekioka

doi:10.1109/ICHIT.2006.253590

Heart motion evaluation indexes using ultrasonic RF signal

Yosuke Mizutani, Shinji Tsuruoka, Hiroharu Kawanaka, Tsuyoshi Shinogi, Wataru Ohyama, Kiyotsugu Sekioka

Research output: Contribution to conference › Paper › peer-review

Abstract

Our research group has developed the tracking method of regional myocardium from ultrasonic radio frequency (RF) signal. The tracking method employs a hierarchical correlation method. In addition, we regarded the correlation coefficient as the confidence coefficient. If it is not high, the tracking position is corrected by neighbor points. The tracking method can detect the movement of myocardium very vell if the RF signal is clear. In this research, we investigate the moving distance based on the tracking position that includes less error. As a result, the contributions of the distance are different between normal example and disorder example. We propose three indexes defined by the amounts of statistics for the evaluation of a heart motion. The error rates for diagnosis with the proposed index (FP=4.8[%], FN= 9.5[%]) is lower than that with thickening rate (FP=13.6[%], FN=14.3[%]).

Original language	English
Pages	62-67
Number of pages	6
DOIs	https://doi.org/10.1109/ICHIT.2006.253590
Publication status	Published - 2006
Externally published	Yes
Event	2006 International Conference on Hybrid Information Technology, ICHIT 2006 - Cheju Island, Korea, Republic of Duration: Nov 9 2006 → Nov 11 2006

Other

Other	2006 International Conference on Hybrid Information Technology, ICHIT 2006
Country/Territory	Korea, Republic of
City	Cheju Island
Period	11/9/06 → 11/11/06

All Science Journal Classification (ASJC) codes

Media Technology

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10.1109/ICHIT.2006.253590

Cite this

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title = "Heart motion evaluation indexes using ultrasonic RF signal",

abstract = "Our research group has developed the tracking method of regional myocardium from ultrasonic radio frequency (RF) signal. The tracking method employs a hierarchical correlation method. In addition, we regarded the correlation coefficient as the confidence coefficient. If it is not high, the tracking position is corrected by neighbor points. The tracking method can detect the movement of myocardium very vell if the RF signal is clear. In this research, we investigate the moving distance based on the tracking position that includes less error. As a result, the contributions of the distance are different between normal example and disorder example. We propose three indexes defined by the amounts of statistics for the evaluation of a heart motion. The error rates for diagnosis with the proposed index (FP=4.8[%], FN= 9.5[%]) is lower than that with thickening rate (FP=13.6[%], FN=14.3[%]).",

author = "Yosuke Mizutani and Shinji Tsuruoka and Hiroharu Kawanaka and Tsuyoshi Shinogi and Wataru Ohyama and Kiyotsugu Sekioka",

year = "2006",

doi = "10.1109/ICHIT.2006.253590",

language = "English",

pages = "62--67",

note = "2006 International Conference on Hybrid Information Technology, ICHIT 2006 ; Conference date: 09-11-2006 Through 11-11-2006",

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T1 - Heart motion evaluation indexes using ultrasonic RF signal

AU - Mizutani, Yosuke

AU - Tsuruoka, Shinji

AU - Kawanaka, Hiroharu

AU - Shinogi, Tsuyoshi

AU - Ohyama, Wataru

AU - Sekioka, Kiyotsugu

PY - 2006

Y1 - 2006

N2 - Our research group has developed the tracking method of regional myocardium from ultrasonic radio frequency (RF) signal. The tracking method employs a hierarchical correlation method. In addition, we regarded the correlation coefficient as the confidence coefficient. If it is not high, the tracking position is corrected by neighbor points. The tracking method can detect the movement of myocardium very vell if the RF signal is clear. In this research, we investigate the moving distance based on the tracking position that includes less error. As a result, the contributions of the distance are different between normal example and disorder example. We propose three indexes defined by the amounts of statistics for the evaluation of a heart motion. The error rates for diagnosis with the proposed index (FP=4.8[%], FN= 9.5[%]) is lower than that with thickening rate (FP=13.6[%], FN=14.3[%]).

AB - Our research group has developed the tracking method of regional myocardium from ultrasonic radio frequency (RF) signal. The tracking method employs a hierarchical correlation method. In addition, we regarded the correlation coefficient as the confidence coefficient. If it is not high, the tracking position is corrected by neighbor points. The tracking method can detect the movement of myocardium very vell if the RF signal is clear. In this research, we investigate the moving distance based on the tracking position that includes less error. As a result, the contributions of the distance are different between normal example and disorder example. We propose three indexes defined by the amounts of statistics for the evaluation of a heart motion. The error rates for diagnosis with the proposed index (FP=4.8[%], FN= 9.5[%]) is lower than that with thickening rate (FP=13.6[%], FN=14.3[%]).

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T2 - 2006 International Conference on Hybrid Information Technology, ICHIT 2006

Y2 - 9 November 2006 through 11 November 2006

ER -

Heart motion evaluation indexes using ultrasonic RF signal

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