TY - JOUR
T1 - Image computing for fibre-bundle endomicroscopy
T2 - A review
AU - Perperidis, Antonios
AU - Dhaliwal, Kevin
AU - McLaughlin, Stephen
AU - Vercauteren, Tom
N1 - Funding Information:
Funding: This work was supported by the Engineering and Physical Sciences Research Council ( EPSRC, United Kingdom ) [ EP/K03197X/1 and NS/A000050/1 ], as well as the Wellcome Trust [ 203145Z/16/Z and 203148/Z/16/Z ].
Publisher Copyright:
© 2019
PY - 2020/5
Y1 - 2020/5
N2 - 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.
AB - 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.
KW - confocal laser endomicroscopy
KW - Fibre bundle endomicroscopy
KW - image analysis
KW - Image restoration
KW - image understanding
KW - imaging
UR - http://www.scopus.com/inward/record.url?scp=85081172721&partnerID=8YFLogxK
U2 - 10.1016/j.media.2019.101620
DO - 10.1016/j.media.2019.101620
M3 - Article
C2 - 32279053
AN - SCOPUS:85081172721
SN - 1361-8415
VL - 62
JO - Medical Image Analysis
JF - Medical Image Analysis
M1 - 101620
ER -