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Article Abstract
Blood flow visualization can improve intraoperative surgical decision-making. A dual-display laparoscopic imaging system (DLIS) integrating laser speckle contrast imaging (LSCI) simultaneously provides color RGB and tissue blood flow imaging in real-time. Traditional LSCI uses a fixed-size sliding window for contrast calculation, while adaptive methods mitigate noise for better blood flow visualization. In this paper, we utilize the G channel of RGB images, which reveals fine vascular structures, to generate guide images distinguishing vascular and non-vascular regions. Adaptive pixel selection criteria are applied based on specific region types. In vivo experiments demonstrate that our method improves signal-to-noise ratio in global and boundary area compared to conventional approaches, and captures microvascular perfusion with detail comparable to that in the G channel.
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| http://dx.doi.org/10.1364/OE.557618 | DOI Listing |
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