TY - GEN
T1 - Transcranial Doppler ultrasound using adaptive beamforming technique for the suppression of high-intensity interferences
AU - Okumura, Shigeaki
AU - Taki, Hirofumi
AU - Sato, Toru
AU - Kita, Aya
PY - 2013
Y1 - 2013
N2 - The control of vasospasm is important in postoperative management after the occurrence of subarachnoid hemorrhage. Transcranial Doppler ultrasound (TCD) is a diagnostic safety test that measures the blood flow in the cranium; however, TCD has low reliability because of the high-intensity interference returned from the cranium. In this study, we employed two techniques to suppress interferences. First, we used a moving target indicator (MTI) filter that suppresses echoes from undesired stationary targets. Second, we applied spatial domain interferometry with the Capon method to the signal after MTI filtering. The desired signal from red blood cells is supposed to have a low correlation with the interferences from undesired stationary targets. We thus averaged the covariance matrix to range direction without averaging sub-matrices in the diagonal direction. In a simulation study, we succeeded in estimating blood flow velocity with an average estimation velocity error of 0.2 m/s, where the desired signal intensity from red blood cells is 60 dB lower than the cranium interference intensity. The center frequency of the pulse is 2.0 MHz and the pulse length is 5 μs. These results indicate the high potential of the proposed method for improving the estimation accuracy of blood flow velocity in the cranium.
AB - The control of vasospasm is important in postoperative management after the occurrence of subarachnoid hemorrhage. Transcranial Doppler ultrasound (TCD) is a diagnostic safety test that measures the blood flow in the cranium; however, TCD has low reliability because of the high-intensity interference returned from the cranium. In this study, we employed two techniques to suppress interferences. First, we used a moving target indicator (MTI) filter that suppresses echoes from undesired stationary targets. Second, we applied spatial domain interferometry with the Capon method to the signal after MTI filtering. The desired signal from red blood cells is supposed to have a low correlation with the interferences from undesired stationary targets. We thus averaged the covariance matrix to range direction without averaging sub-matrices in the diagonal direction. In a simulation study, we succeeded in estimating blood flow velocity with an average estimation velocity error of 0.2 m/s, where the desired signal intensity from red blood cells is 60 dB lower than the cranium interference intensity. The center frequency of the pulse is 2.0 MHz and the pulse length is 5 μs. These results indicate the high potential of the proposed method for improving the estimation accuracy of blood flow velocity in the cranium.
KW - Adaptive beamforming
KW - Blood flow velocity estimation
KW - Capon method
KW - Spatial domain interferometry
KW - Transcranial Doppler ultrasound
UR - http://www.scopus.com/inward/record.url?scp=84894365977&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84894365977&partnerID=8YFLogxK
U2 - 10.1109/ULTSYM.2013.0375
DO - 10.1109/ULTSYM.2013.0375
M3 - Conference contribution
AN - SCOPUS:84894365977
SN - 9781467356862
T3 - IEEE International Ultrasonics Symposium, IUS
SP - 1480
EP - 1483
BT - 2013 IEEE International Ultrasonics Symposium, IUS 2013
T2 - 2013 IEEE International Ultrasonics Symposium, IUS 2013
Y2 - 21 July 2013 through 25 July 2013
ER -