Cite as:
Regeling, B.; Laffers, W.; Gerstner, A.O.; Westermann, S.; M&uuml;ller, N.A.; Schmidt, K.; Bendix, J. &amp; Thies, B. (2015): <b>Development of an image pre-processor for operational hyperspectral laryngeal cancer detection</b>. <i>J. Biophotonics</i> <b>9</b>(3), 235-245.

Resource Description

Title: Development of an image pre-processor for operational hyperspectral laryngeal cancer detection
FOR816dw ID: 155
Publication Date: 2015-06-02
License and Usage Rights: PAK 823-825 data user agreement. (
Resource Owner(s):
Individual: Bianca Regeling
Individual: Wiebke Laffers
Individual: Andreas O.H. Gerstner
Individual: Stephan Westermann
Individual: Nina A. Müller
Individual: Kai Schmidt
Individual: Jörg Bendix
Individual: Boris Thies
Hyperspectral imaging (HSI) is a technology with high<br/> potential in the field of non-invasive detection of cancer.<br/> However, in complex imaging situations like HSI of the<br/> larynx with a rigid endoscope, various image interferences<br/> can disable a proper classification of cancerous tissue. We<br/> identified three main problems: i) misregistration of single<br/> images in a HS cube due to patient heartbeat ii) image<br/> noise and iii) specular reflections (SR). Consequently, an<br/> image pre-processor is developed in the current paper to<br/> overcome these image interferences. It encompasses i)<br/> image registration ii) noise removal by minimum noise<br/> fraction (MNF) transformation and iii) a novel SR detection method. The results reveal that the pre-processor improves classification performance, while the newly developed SR detection method outperforms global thresholding technique hitherto used by 46%. The novel pre-processor will be used for future studies towards the development of an operational scheme for HS-based larynx cancer detection.
| endoscopy | Hyperspectral imaging | specular reflection detection | in-vivo | larynx | image processing |
Literature type specific fields:
Journal: J. Biophotonics
Volume: 9
Issue: 3
Page Range: 235-245
Metadata Provider:
Individual: Bianca Regeling
Online Distribution:
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