2015
DOI: 10.1007/978-3-319-24553-9_55
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Motion-Aware Mosaicing for Confocal Laser Endomicroscopy

Abstract: Abstract. Probe-based Confocal Laser Endomicroscopy (pCLE) provides physicians with real-time access to histological information during standard endoscopy procedures, through high-resolution cellular imaging of internal tissues. Earlier work on mosaicing has enhanced the potential of this imaging modality by meeting the need to get a complete representation of the imaged region. However, with approaches, the dynamic information, which may be of clinical interest, is lost. In this study, we propose a new mosaic… Show more

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Cited by 6 publications
(8 citation statements)
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“…This allows us to obtain an intuitive geometrical interpretation of the distance between warpings as the maximum deviation in terms of Euclidean distance over the set of reference points X . After having found estimates of the absolute warpings by solving (2), a final mosaic can be created with blending algorithms [7,15]. In this paper, we focus on the accurate assessment of the global warpings, i.e.…”
Section: Problem Statementmentioning
confidence: 99%
“…This allows us to obtain an intuitive geometrical interpretation of the distance between warpings as the maximum deviation in terms of Euclidean distance over the set of reference points X . After having found estimates of the absolute warpings by solving (2), a final mosaic can be created with blending algorithms [7,15]. In this paper, we focus on the accurate assessment of the global warpings, i.e.…”
Section: Problem Statementmentioning
confidence: 99%
“…Mahé et al entwickelten eine Bildverarbeitungsmethode, die eine Visualisierung von bewegenden Strukturen wie Blutzellen in Kapillaren verbessert und so eine dynamische Darstellung des abgebildeten Gewebes ermöglicht [35]. Weitere Ansätze verfolgten das Prinzip einer automatisierten Klassifikation von CLE-Bildern mit dem Ziel, die Standardauswertung zu verbessern und die CLE mit weniger Schulungsaufwand in der alltäglichen Praxis anwendbar zu machen [23].…”
Section: Computergestützte Auswertungunclassified
“…Computer-aided detection of vascular structures may be a more advanced approach. Mahé et al developed an image processing method that enhances visualization of moving structures such as blood cells in capillaries, providing a dynamic representation of the imaged tissue [24]. Dittberner et al demonstrated that classification of CLE scans into normal and malignant altered tissue is possible based on an estimate of mean cell sizes [25].…”
Section: Discussionmentioning
confidence: 99%