Removal of optical fiber interference in color micro-endoscopic images

Dickens, Molly M.; Bornhop, Darryl J.; Mitra, Soumya

doi:10.1109/cbms.1998.701364

Cited by 10 publications

(8 citation statements)

References 10 publications

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“…As we could not rely on the honeycomb structure being static relative to the camera we needed a reliable and robust approach which did not need recalibrating each time the system is used. We found that sufficient image restoration for tracking could be achieved using a band pass filter [18] in the Fourier frequency space followed by Gaussian smoothing. This successfully removed the structure in the image without affecting the performance of the tracker.…”

Section: ) Honeycomb Artifact Removalmentioning

confidence: 99%

A stereoscopic fibroscope for camera motion and 3D depth recovery during Minimally Invasive Surgery

Noonan

Mountney

Elson

et al. 2009

2009 IEEE International Conference on Robotics and Automation

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This paper introduces a stereoscopic fibroscope imaging system for Minimally Invasive Surgery (MIS) and examines the feasibility of utilizing images transmitted from the distal fibroscope tip to a proximally mounted CCD camera to recover both camera motion and 3D scene information. Fibre image guides facilitate instrument miniaturization and have the advantage of being more easily integrated with articulated robotic instruments. In this paper, twin 10,000 pixel coherent fibre bundles (590µm diameter) have been integrated into a bespoke laparoscopic imaging instrument. Images captured by the system have been used to build a 3D map of the environment and reconstruct the laparoscope's 3D pose and motion using a SLAM algorithm. Detailed phantom validation of the system demonstrates its practical value and potential for flexible MIS instrument integration due to the small footprint and flexible nature of the fibre image guides.

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Section: ) Honeycomb Artifact Removalmentioning

confidence: 99%

A stereoscopic fibroscope for camera motion and 3D depth recovery during Minimally Invasive Surgery

Noonan

Mountney

Elson

et al. 2009

2009 IEEE International Conference on Robotics and Automation

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“…[1] gives an overview of useful basic methods to remove typical structures from fiberscopic images. Manually parametrized [6] and also automatically adapted masks [7] can be used for fiber processing. The latter work suggests star shaped masks for optimal results with coherent glass fiber bundles.…”

Section: Related Workmentioning

confidence: 99%

Physically Motivated Enhancement of Color Images for Fiber Endoscopy

Winter

Zerfaß

Elter

et al.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007

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Fiber optics are widely used in flexible endoscopes which are indispensable for many applications in diagnosis and therapy. Computeraided use of fiberscopes requires a digital sensor mounted at the proximal end. Most commercially available cameras for endoscopy provide the images by means of a regular grid of color filters what is known as the Bayer Pattern. Hence, the images suffer from false colored spatial moiré, which is further stressed by the downgrading fiber optic transmission yielding a honey comb pattern. To solve this problem we propose a new approach that extends the interpolation between known intensities of registered fibers to multi channel color applications. The inventive idea takes into account both the Gaussian intensity distribution of each fiber and the physical color distribution of the Bayer pattern. Individual color factors for interpolation of each fiber area make it possible to simultaneously remove both the comb structure from the fiber bundle as well as the Bayer pattern mosaicking from the sensor while preserving depicted structures and textures in the scene.

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“…Throughout the years, a number of approaches employing band-pass filtering in the Fourier domain have been proposed (Dickens et al, 1998;Dickens et al, 1997Dickens et al, , 1999Dumripatanachod and Piyawattanametha, 2015;Ford et al, 2012b;Han et al, 2010;Lee and Han, 2013b;Maneas et al, 2015;Rupp et al, 2007;Winter et al, 2006).…”

Section: Honeycomb Effectmentioning

confidence: 99%

Image computing for fibre-bundle endomicroscopy: A review

Perperidis¹,

Dhaliwal²,

McLaughlin³

et al. 2020

Medical Image Analysis

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Endomicroscopy is an emerging imaging modality, that facilitates the acquisition of in vivo, in situ optical biopsies, assisting diagnostic and potentially therapeutic interventions. While there is a diverse and constantly expanding range of commercial and experimental optical biopsy platforms available, fibre-bundle endomicroscopy is currently the most widely used platform and is approved for clinical use in a range of clinical indications. Miniaturised, flexible fibre-bundles, guided through the working channel of endoscopes, needles and catheters, enable high-resolution imaging across a variety of organ systems. Yet, the nature of image acquisition though a fibre-bundle gives rise to several inherent characteristics and limitations necessitating novel and effective image pre-and post-processing algorithms, ranging from image formation, enhancement and mosaicing to pathology detection and quantification. This paper introduces the underlying technology and most prevalent clinical applications of fibre-bundle endomicroscopy, and provides a comprehensive, up-to-date, review of relevant image reconstruction, analysis and understanding/inference methodologies. Furthermore, current limitations as well as future challenges and opportunities in fibre-bundle endomicroscopy computing are identified and discussed.

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Removal of optical fiber interference in color micro-endoscopic images

Cited by 10 publications

References 10 publications

A stereoscopic fibroscope for camera motion and 3D depth recovery during Minimally Invasive Surgery

A stereoscopic fibroscope for camera motion and 3D depth recovery during Minimally Invasive Surgery

Physically Motivated Enhancement of Color Images for Fiber Endoscopy

Image computing for fibre-bundle endomicroscopy: A review

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