Hirofumi Taki1, Takuya Sakamoto2, Makoto Yamakawa3, Tsuyoshi Shiina4, Toru Sato2. 1. Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto, 606-8501, Japan. hirofumi.taki@mb6.seikyou.ne.jp. 2. Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto, 606-8501, Japan. 3. Advanced Biomedical Engineering Research Unit, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto, 606-8501, Japan. 4. Graduate School of Medicine, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto, 606-8501, Japan.
Abstract
PURPOSE: The purpose of this paper is to propose a novel strategy to detect small calculi efficiently. METHODS: The proposed calculus detection strategy focuses on decorrelation of forward scattered waves caused by the failure of Born's approximation. A calculus causes waveform changes of transmit pulses, resulting in a decrease in the cross-correlation coefficients calculated from IQ signals scattered near the calculus position. Therefore, we can detect calculi from the appearance of dips in correlation coefficients. RESULTS: When a calculus exists in a digital tissue map, sharp and deep dips in cross-correlation coefficients between acoustic IQ signals appear around the calculus. By contrast, no apparent dip exists when a tissue map contains no calculus. A scan line interval of 0.2 mm or less is appropriate for the conditions simulated in this paper, and the proper transmit focal range for the proposed method is at a calculus range. CONCLUSION: These results imply that the proposed strategy can improve the efficiency of US devices for small calculus detection.
PURPOSE: The purpose of this paper is to propose a novel strategy to detect small calculi efficiently. METHODS: The proposed calculus detection strategy focuses on decorrelation of forward scattered waves caused by the failure of Born's approximation. A calculus causes waveform changes of transmit pulses, resulting in a decrease in the cross-correlation coefficients calculated from IQ signals scattered near the calculus position. Therefore, we can detect calculi from the appearance of dips in correlation coefficients. RESULTS: When a calculus exists in a digital tissue map, sharp and deep dips in cross-correlation coefficients between acoustic IQ signals appear around the calculus. By contrast, no apparent dip exists when a tissue map contains no calculus. A scan line interval of 0.2 mm or less is appropriate for the conditions simulated in this paper, and the proper transmit focal range for the proposed method is at a calculus range. CONCLUSION: These results imply that the proposed strategy can improve the efficiency of US devices for small calculus detection.
Authors: Thorsten Schmidt; Christian Hohl; Patrick Haage; Marcus Blaum; Dagmar Honnef; Claudia Weibeta; Gundula Staatz; R W Günther Journal: AJR Am J Roentgenol Date: 2003-06 Impact factor: 3.959
Authors: Andreas H Mahnken; Georg Mühlenbruch; Marco Das; Joachim E Wildberger; Harald P Kühl; Rolf W Günther; Malte Kelm; Ralf Koos Journal: AJR Am J Roentgenol Date: 2007-05 Impact factor: 3.959