서강대학교

초록/요약

The velocity of the blood flow in the spectral Doppler system can be used to determine the extent of vessel stenosis. Compared to Computed Tomography (CT) and Magnetic Resonance Imaging (MRI), the cost of diagnostic tests is low, and real-time blood flow monitoring is possible and noninvasive and safe. The velocity of the blood flow is obtained by using ultrasonic waves transmitted / received to the blood vessel. At this time, it is important to accurately separate clutter (organ, blood vessel wall components), blood flow, and noise signals Spectral Doppler is usually used to diagnose the degree of vessel stenosis. The greater the stenosis of the blood vessel, the narrower the blood vessel walls and the faster the velocity of blood flow (PSV-Peak Systole Velocity) in the systolic period of heart. Therefore, accurate PSV detection is required in spectral Doppler to diagnose accurate stenosis. In order to diagnose the degree of stenosis of the blood vessel accurately, a conventional clutter removal filter, which is FIR Finite Impulse Response) filter and a noise removal method (Intensity Threshold) are used to separate only the blood flow signal. In this paper, we propose an algorithm to remove clutter and noise signals by applying Singular Value Decomposition. We verified the performance of the proposed method through computer simulation and phantom data. As a measure of PSV accuracy and SNR, we show that the performance of the proposed method is higher than that of the conventional method.