TY - JOUR
T1 - Robust strain estimation using adaptive dynamic grid interpolation model
AU - Yamakawa, Makoto
AU - Bu, Shuhui
AU - Shiina, Tsuyoshi
PY - 2008
Y1 - 2008
N2 - Tissue strain imaging is a new technology for imaging hardness information using ultrasound, and it is being used diagnosing breast cancer etc. However, the method currently used often induces errors in poor signal-to-noise ratio (SNR) such as low-echo areas. Therefore, this paper proposes a that can robustly estimate a strain distribution in poor areas. In order to use the adaptive dynamic grid (ADGI) model with a correlation coefficient in the method, errors in the poor SNR areas are corrected and high spatial resolution is maintained in the good SNR area.
AB - Tissue strain imaging is a new technology for imaging hardness information using ultrasound, and it is being used diagnosing breast cancer etc. However, the method currently used often induces errors in poor signal-to-noise ratio (SNR) such as low-echo areas. Therefore, this paper proposes a that can robustly estimate a strain distribution in poor areas. In order to use the adaptive dynamic grid (ADGI) model with a correlation coefficient in the method, errors in the poor SNR areas are corrected and high spatial resolution is maintained in the good SNR area.
KW - Adaptive dynamic grid interpolation model
KW - Correlation coefficient
KW - Displacement
KW - Signal-to-noise ratio
KW - Strain imaging
UR - http://www.scopus.com/inward/record.url?scp=67649379413&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67649379413&partnerID=8YFLogxK
U2 - 10.1109/ULTSYM.2008.0498
DO - 10.1109/ULTSYM.2008.0498
M3 - Conference article
AN - SCOPUS:67649379413
SN - 1051-0117
SP - 2021
EP - 2024
JO - Proceedings of the IEEE Ultrasonics Symposium
JF - Proceedings of the IEEE Ultrasonics Symposium
M1 - 4803533
T2 - 2008 IEEE International Ultrasonics Symposium, IUS 2008
Y2 - 2 November 2008 through 5 November 2008
ER -