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A Study on Blood Flow Measurement Method using Independent Component Analysis  

Cho, Seog-Bin (Dept. of Electronics Engineering, Pusan National University)
Lim, Dong-Seok (LG Electronic Inc.)
Baek, Kwang-Ryul (Dept. of Electronics Engineering, Pusan National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.44, no.2, 2007 , pp. 10-17 More about this Journal
Abstract
The echo signal on ultrasonic transducer is a mixed signal from tissues, blood vessel walls, blood cells and noise. In this mixed-signal, the signal reflected from tissues and blood vessel walls is called clutter. It is necessary to extract pure blood signal from this mixed-signal, when measuring blood flow velocity with medical ultrasonic system The quality of measured blood flow velocity is highly dependent on sufficient attenuation of the clutter signals. In this paper, we suggest a clutter rejection method using ICA For simulation, the echo signals are generated by Field n ultrasonic simulation program In this echo signals, independent signals are separated by using ICA Then the blood signal is obtained from the separated signals. Blood flow velocity is measured by 2D autocorrelation method. We compare ICA clutter rejection method with PCA-based eigen filter method using both measured blood flow velocity profiles by 2D autocorrelation. In simulation results, ICA clutter rejection method can be better applied measuring blood flow velocity in noisy echo signals.
Keywords
Medical ultrasound; ICA; Blood velocity measurement; Clutter rejection;
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