Motion-Aware Mosaicing for Confocal Laser Endomicroscopy

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 construction algorithm for pCLE sequences based on a min-cut optimization and gradient-domain composition. Its main advantage is that the motion of some structures within the tissue such as blood cells in capillaries, is taken into account. This allows physicians to get both a sharper static representation and a dynamic representation of the imaged tissue. Results on 16 sequences acquired in vivo on six different organs demonstrate the clinical relevance of our approach.
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Communication dans un congrès
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, Oct 2015, Munich, Germany. 9349, pp.447-454, 2015, 〈10.1007/978-3-319-24553-9_55〉
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Jessie Mahé, Nicolas Linard, Marzieh Kohandani Tafreshi, Tom Vercauteren, Nicholas Ayache, et al.. Motion-Aware Mosaicing for Confocal Laser Endomicroscopy. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, Oct 2015, Munich, Germany. 9349, pp.447-454, 2015, 〈10.1007/978-3-319-24553-9_55〉. 〈hal-01208437〉

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