2018
DOI: 10.1117/1.jbo.23.1.016004
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Correction of motion artifacts in endoscopic optical coherence tomography and autofluorescence images based on azimuthal en face image registration

Abstract: Abstract. We present a method for the correction of motion artifacts present in two-and three-dimensional in vivo endoscopic images produced by rotary-pullback catheters. This method can correct for cardiac/breathingbased motion artifacts and catheter-based motion artifacts such as nonuniform rotational distortion (NURD). This method assumes that en face tissue imaging contains slowly varying structures that are roughly parallel to the pullback axis. The method reduces motion artifacts using a dynamic time war… Show more

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Cited by 15 publications
(15 citation statements)
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“…A frequency analysis of the texture of the Intra-Vascular Ultrasound (IVUS) image was used in [6] to estimate the rotational velocity. Matching based algorithms by minimizing the Euler distance of warped neighboring frames [8], [9], or by maximizing the cross-correlation [10], [11], [14] have been proposed to track the shift error of A-lines. Specifically, in intravascular OCT imaging, intra-vascular stents may serve as landmarks that help to capture rotational distortion in pullback volumetric scanning [13].…”
Section: A Nurd Correctionmentioning
confidence: 99%
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“…A frequency analysis of the texture of the Intra-Vascular Ultrasound (IVUS) image was used in [6] to estimate the rotational velocity. Matching based algorithms by minimizing the Euler distance of warped neighboring frames [8], [9], or by maximizing the cross-correlation [10], [11], [14] have been proposed to track the shift error of A-lines. Specifically, in intravascular OCT imaging, intra-vascular stents may serve as landmarks that help to capture rotational distortion in pullback volumetric scanning [13].…”
Section: A Nurd Correctionmentioning
confidence: 99%
“…An essential step of the NURD estimation is to search a continuous optimal path with large correlation value from the correlation map. Solutions applied in previous OCT stabilization studies [10], [11], [14] are mainly based on graph searching (GS), and rely on local features of gradients, maxima, textures and other prior information. This type of technique is also a traditional way of contour tracing [23].…”
Section: Cnn For Path Searchingmentioning
confidence: 99%
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“…To reduce the amount of NURD in some of the images, a motion correction method developed by our group denoted "azimuthal en face image registration" was applied to some of the images during postprocessing. 26 3 Results and Discussion…”
Section: Image Processingmentioning
confidence: 99%