Application of low-complexity generalized coherence factor to in vivo data
Application of low-complexity generalized coherence factor to in vivo data
复制标题
低复杂度广义相干因子在体内数据中的应用
DOI:
10.1007/s10396-022-01243-1
复制
发表时间:
2022
影响因子:
1.8
通讯作者:
Kanai Hiroshi
中科院分区:
文献类型:
--
作者:
Hisatsu Masanori;Mori Shohei;Arakawa Mototaka;Kanai Hiroshi
PurposeBeamforming using the generalized coherence factor (GCF) reduces sidelobe artifacts and provides an excellent contrast-to-noise ratio. We previously proposed GCFreal, a method to calculate GCF without generating analytic signals, and GCFbin, a method to calculate GCF by binarizing the received signals. In this study, we applied these methods to in vivo data and showed the effect of the computational complexity reduction on contrast performance.MethodsChannel RF data were acquired from the human liver and gallbladder. We set up several observation points in each data set and investigated the mechanism that causes the differences in contrast performance among the methods based on the signals and their power spectra in the channel direction.ResultsFor GCF and GCFreal, the obtained values were almost the same. However, there were large differences in GCFbinfrom GCF when the signals from the focus point or from outside the focus point were received on different channels. This is because the amplitudes of the signals with high coherence and those with low coherence were changed by binarizing the signals.ConclusionWhile GCFbincan significantly reduce the computational complexity, there are differences in the values of GCFbinand GCF due to binarizing of the received signals. However, this difference resulted in GCFbinbeing superior to GCF in terms of artifact reduction. This is owing to the elimination of amplitude information in GCFbin, which makes it a new efficient coherence factor with different characteristics from GCF.
DOI:
--
发表时间:
1996
期刊:
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
影响因子:
--
作者:
Hiroshi Kanai;Michie Sato;Y. Koiwa;N. Chubachi
通讯作者:
N. Chubachi