2021
DOI: 10.1016/j.optlaseng.2020.106526
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Motion correction of laser speckle imaging of blood flow by simultaneous imaging of tissue structure and non-rigid registration

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Cited by 11 publications
(7 citation statements)
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“…Therefore, this data is not included in the analysis of this subsection. More recently, it was shown that movement artefacts caused by a moving embryo can be corrected using an optical flow algorithm but that requires simultaneous RGB imaging using a color camera 31 .
Figure 4 Blood flow distribution of developing vascular networks.
…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, this data is not included in the analysis of this subsection. More recently, it was shown that movement artefacts caused by a moving embryo can be corrected using an optical flow algorithm but that requires simultaneous RGB imaging using a color camera 31 .
Figure 4 Blood flow distribution of developing vascular networks.
…”
Section: Resultsmentioning
confidence: 99%
“…For example, Mahé et al removed motion artifacts by point-by-point subtraction between the skin surface and adjacent opaque surface [19] , and Richards et al used filtering to correct the pulsatile artifacts in monitoring cerebral blood flow [20] . In the 2021 study by Liu et al, they suppressed motion artifacts by applying a non-rigid registration algorithm to simultaneously acquired images of the tissue structure and laser speckle contrast [21] . However, their methods are not easily applicable to the general LSI systems since they can only be applied to specific systems or target motion artifacts.…”
Section: Discussionmentioning
confidence: 99%
“…Liu et al proposed non-rigid registration of temporally averaged perfusion maps during which the imaging object moves. They realized this by simultaneous white-light and laser speckle imaging where the movements were detected employing an optical flow algorithm [28].…”
Section: Related Workmentioning
confidence: 99%