2012 IEEE International Ultrasonics Symposium 2012
DOI: 10.1109/ultsym.2012.0404
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Overcoming the Nyquist limit in blood flow velocity estimation

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Cited by 2 publications
(1 citation statement)
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“…The proposed algorithm is an extension of the recent BIAA algorithm [16][17][18] to the TO case. As shown in [16], the BIAA algorithm allows for reliable high-resolution estimates of the axial velocity, and also allows for the use of irregularly sampling schemes, thereby enabling flexibility in the interleaved transmissions used to form the velocity estimation and the B-mode images necessary for navigation inside the vessel; the latter transmissions are currently interleaved between the transmissions used for velocity estimation, thereby halving the effective dynamic span of the velocity estimate (see also [19]). The algorithm presented here, termed the TO-BIAA, shares this benefit, as well as allows for a computationally efficient implementation reminiscent to the one presented in [17].…”
Section: Introductionmentioning
confidence: 99%
“…The proposed algorithm is an extension of the recent BIAA algorithm [16][17][18] to the TO case. As shown in [16], the BIAA algorithm allows for reliable high-resolution estimates of the axial velocity, and also allows for the use of irregularly sampling schemes, thereby enabling flexibility in the interleaved transmissions used to form the velocity estimation and the B-mode images necessary for navigation inside the vessel; the latter transmissions are currently interleaved between the transmissions used for velocity estimation, thereby halving the effective dynamic span of the velocity estimate (see also [19]). The algorithm presented here, termed the TO-BIAA, shares this benefit, as well as allows for a computationally efficient implementation reminiscent to the one presented in [17].…”
Section: Introductionmentioning
confidence: 99%