Abstract
For the examination and clinical assessment of the esophagus, video endoscopy is applied. Video clips and still images are generated along these procedures which are then used for routine documentation. Due to the tight tubular geometry of the esophagus and the constrained field of view of endoscope devices, the provided insight into the esophagus and the relation to contextual information are limited. In this contribution, a shape-from-shading approach for the computation of panorama images of the esophagus wall from gastroscopic video is presented. Furthermore, the content of these panorama images can be mapped back to the original video data which gives the advantages of both panorama-view for improved contextual information and unaltered detail-views for improved examinations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bergen T, et al. A graph-based approach for local and global panorama imaging in cystoscopy. Proc SPIE. 2013;8671:86711K–1.
Miranda-Luna R, et al. Mosaicing of bladder endoscopic image sequences: distortion calibration and registration algorithm. IEEE Trans Biomed Eng. 2008;55(2):541–553.
Tokgozoglu HN, et al. Color-based hybrid reconstruction for endoscopy. IEEE Conf Comput Vis Pattern Recognit Workshop. 2012; p. 8–15.
Ishii T, et al. Urine flow dynamics through prostatic urethra with tubular organ modeling using endoscopic imagery. IEEE J Transl Eng Health Med. 2014;2:1–9.
Ishii T, et al. Novel points of view for endoscopy: panoramized intraluminal opened image and 3D shape reconstruction. J Med Imaging Health Inf. 2011;1(1):13–20.
Kim R, et al. Quantitative endoscopy: precise computerized measurement of metaplastic epithelial surface area in Barrett’s esophagus. Gastroenterol. 1995;108(2):360–6.
Lorensen WE, Cline HE. Marching cubes: a high resolution 3D surface construction algorithm. SIGGRAPH Comput Graph. 1987;21(4):163–9.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Prinzen, M. et al. (2015). Panorama Mapping of the Esophagus from Gastroscopic Video. In: Handels, H., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2015. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46224-9_78
Download citation
DOI: https://doi.org/10.1007/978-3-662-46224-9_78
Published:
Publisher Name: Springer Vieweg, Berlin, Heidelberg
Print ISBN: 978-3-662-46223-2
Online ISBN: 978-3-662-46224-9
eBook Packages: Computer Science and Engineering (German Language)