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Biomedical Engineering / Biomedizinische Technik

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering and the German Society of Biomaterials

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Habibović, Pamela / Haueisen, Jens / Jahnen-Dechent, Wilhelm / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Lenarz, Thomas / Leonhardt, Steffen / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Boenick, Ulrich / Jaramaz, Branislav / Kraft, Marc / Lenthe, Harry / Lo, Benny / Mainardi, Luca / Micera, Silvestro / Penzel, Thomas / Robitzki, Andrea A. / Schaeffter, Tobias / Snedeker, Jess G. / Sörnmo, Leif / Sugano, Nobuhiko / Werner, Jürgen /

6 Issues per year


IMPACT FACTOR 2017: 1.096
5-year IMPACT FACTOR: 1.492

CiteScore 2017: 0.48

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Online
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1862-278X
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Volume 62, Issue 6

Issues

Volume 57 (2012)

Rapid, automated mosaicking of the human corneal subbasal nerve plexus

Yash J. Vaishnav
  • Frank H. Netter M.D. School of Medicine, Quinnipiac University, North Haven, CT 06518, USA
  • Francis I. Proctor Foundation, University of California, San Francisco, CA 94143, USA
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Stuart A. Rucker / Keshav Saharia / Nancy A. McNamara
Published Online: 2017-03-04 | DOI: https://doi.org/10.1515/bmt-2016-0148

Abstract

Corneal confocal microscopy (CCM) is an in vivo technique used to study corneal nerve morphology. The largest proportion of nerves innervating the cornea lie within the subbasal nerve plexus, where their morphology is altered by refractive surgery, diabetes and dry eye. The main limitations to clinical use of CCM as a diagnostic tool are the small field of view of CCM images and the lengthy time needed to quantify nerves in collected images. Here, we present a novel, rapid, fully automated technique to mosaic individual CCM images into wide-field maps of corneal nerves. We implemented an OpenCV image stitcher that accounts for corneal deformation and uses feature detection to stitch CCM images into a montage. The method takes 3–5 min to process and stitch 40–100 frames on an Amazon EC2 Micro instance. The speed, automation and ease of use conferred by this technique is the first step toward point of care evaluation of wide-field subbasal plexus (SBP) maps in a clinical setting.

Keywords: computer vision; corneal confocal microscopy; dry eye; image processing; speeded-up robust features

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About the article

Corresponding author: Nancy A. McNamara, OD, PhD, Department of Anatomy, Francis I. Proctor Foundation, University of California, San Francisco, Box 0452, 513 Parnassus, Health Sciences West, Rm 1324, San Francisco, CA 94143, USA, Phone: +415-637-1057, Fax: +415-476-4845


Received: 2016-06-30

Accepted: 2017-01-12

Published Online: 2017-03-04

Published in Print: 2017-11-27


Funding: This research was partially funded by National Eye Institute grant NEI EY016203 and a grant from the Frank H. Netter School of Medicine at Quinnipiac University.

Author contributions: Imaging was performed at the Francis I. Proctor Foundation by Drs. Jeremy Keenan and Salena Lee. Ayush Jain and Kalen Frieberg worked on the stitching algorithms and the user interface.


Citation Information: Biomedical Engineering / Biomedizinische Technik, Volume 62, Issue 6, Pages 609–613, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: https://doi.org/10.1515/bmt-2016-0148.

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