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Title: Depixelation and enhancement of fiber bundle images by bundle rotation.

Authors: Renteria, Carlos; Suárez, Javier; Licudine, Alyssa; Boppart, Stephen A

Published In Appl Opt, (2020 Jan 10)

Abstract: Fiber bundles have become widely adopted for use in endoscopy, live-organism imaging, and other imaging applications. An inherent consequence of imaging with these bundles is the introduction of a honeycomb-like artifact that arises from the inter-fiber spacing, which obscures features of objects in the image. This artifact subsequently limits applicability and can make interpretation of the image-based data difficult. This work presents a method to reduce this artifact by on-axis rotation of the fiber bundle. Fiber bundle images were first low-pass and median filtered to improve image quality. Consecutive filtered images with rotated samples were then co-registered and averaged to generate a final, reconstructed image. The results demonstrate removal of the artifacts, in addition to increased signal contrast and signal-to-noise ratio. This approach combines digital filtering and spatial resampling to reconstruct higher-quality images, enhancing the utility of images acquired using fiber bundles.

PubMed ID: 32225338 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

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