Hyperspectral Imaging Using Flexible Endoscopy for Laryngeal Cancer Detection
Hyperspectral imaging (HSI) is increasingly gaining acceptance in the medical field. Up until now, HSI has been used in conjunction with rigid endoscopy to detect cancer in vivo. The logical next step is to pair HSI with flexible endoscopy, since it improves access to hard-to-reach areas. While the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/16/8/1288 |
| _version_ | 1798041182852349952 |
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| author | Bianca Regeling Boris Thies Andreas O. H. Gerstner Stephan Westermann Nina A. Müller Jörg Bendix Wiebke Laffers |
| author_facet | Bianca Regeling Boris Thies Andreas O. H. Gerstner Stephan Westermann Nina A. Müller Jörg Bendix Wiebke Laffers |
| author_sort | Bianca Regeling |
| collection | DOAJ |
| description | Hyperspectral imaging (HSI) is increasingly gaining acceptance in the medical field. Up until now, HSI has been used in conjunction with rigid endoscopy to detect cancer in vivo. The logical next step is to pair HSI with flexible endoscopy, since it improves access to hard-to-reach areas. While the flexible endoscope’s fiber optic cables provide the advantage of flexibility, they also introduce an interfering honeycomb-like pattern onto images. Due to the substantial impact this pattern has on locating cancerous tissue, it must be removed before the HS data can be further processed. Thereby, the loss of information is to minimize avoiding the suppression of small-area variations of pixel values. We have developed a system that uses flexible endoscopy to record HS cubes of the larynx and designed a special filtering technique to remove the honeycomb-like pattern with minimal loss of information. We have confirmed its feasibility by comparing it to conventional filtering techniques using an objective metric and by applying unsupervised and supervised classifications to raw and pre-processed HS cubes. Compared to conventional techniques, our method successfully removes the honeycomb-like pattern and considerably improves classification performance, while preserving image details. |
| first_indexed | 2024-04-11T22:17:56Z |
| format | Article |
| id | doaj.art-2354be509db942ed9d8fa41d914bb9a7 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:17:56Z |
| publishDate | 2016-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2354be509db942ed9d8fa41d914bb9a72022-12-22T04:00:18ZengMDPI AGSensors1424-82202016-08-01168128810.3390/s16081288s16081288Hyperspectral Imaging Using Flexible Endoscopy for Laryngeal Cancer DetectionBianca Regeling0Boris Thies1Andreas O. H. Gerstner2Stephan Westermann3Nina A. Müller4Jörg Bendix5Wiebke Laffers6Laboratory for Climatology and Remote Sensing, Faculty of Geography, University of Marburg, Deutschhausstr. 12, Marburg 35032, GermanyLaboratory for Climatology and Remote Sensing, Faculty of Geography, University of Marburg, Deutschhausstr. 12, Marburg 35032, GermanyKlinikum Braunschweig, ENT-Clinic, Holwedestr. 16, Braunschweig 38118, GermanyDepartment of Otorhinolaryngology/Head and Neck Surgery, University of Bonn, Sigmund-Freud-Str. 25, Bonn 53127, GermanyDepartment of Otorhinolaryngology/Head and Neck Surgery, University of Bonn, Sigmund-Freud-Str. 25, Bonn 53127, GermanyLaboratory for Climatology and Remote Sensing, Faculty of Geography, University of Marburg, Deutschhausstr. 12, Marburg 35032, GermanyDepartment of Otorhinolaryngology/Head and Neck Surgery, University of Bonn, Sigmund-Freud-Str. 25, Bonn 53127, GermanyHyperspectral imaging (HSI) is increasingly gaining acceptance in the medical field. Up until now, HSI has been used in conjunction with rigid endoscopy to detect cancer in vivo. The logical next step is to pair HSI with flexible endoscopy, since it improves access to hard-to-reach areas. While the flexible endoscope’s fiber optic cables provide the advantage of flexibility, they also introduce an interfering honeycomb-like pattern onto images. Due to the substantial impact this pattern has on locating cancerous tissue, it must be removed before the HS data can be further processed. Thereby, the loss of information is to minimize avoiding the suppression of small-area variations of pixel values. We have developed a system that uses flexible endoscopy to record HS cubes of the larynx and designed a special filtering technique to remove the honeycomb-like pattern with minimal loss of information. We have confirmed its feasibility by comparing it to conventional filtering techniques using an objective metric and by applying unsupervised and supervised classifications to raw and pre-processed HS cubes. Compared to conventional techniques, our method successfully removes the honeycomb-like pattern and considerably improves classification performance, while preserving image details.http://www.mdpi.com/1424-8220/16/8/1288flexible endoscopyhoneycomb-like pattern removallaryngeal cancer detectionclassification |
| spellingShingle | Bianca Regeling Boris Thies Andreas O. H. Gerstner Stephan Westermann Nina A. Müller Jörg Bendix Wiebke Laffers Hyperspectral Imaging Using Flexible Endoscopy for Laryngeal Cancer Detection Sensors flexible endoscopy honeycomb-like pattern removal laryngeal cancer detection classification |
| title | Hyperspectral Imaging Using Flexible Endoscopy for Laryngeal Cancer Detection |
| title_full | Hyperspectral Imaging Using Flexible Endoscopy for Laryngeal Cancer Detection |
| title_fullStr | Hyperspectral Imaging Using Flexible Endoscopy for Laryngeal Cancer Detection |
| title_full_unstemmed | Hyperspectral Imaging Using Flexible Endoscopy for Laryngeal Cancer Detection |
| title_short | Hyperspectral Imaging Using Flexible Endoscopy for Laryngeal Cancer Detection |
| title_sort | hyperspectral imaging using flexible endoscopy for laryngeal cancer detection |
| topic | flexible endoscopy honeycomb-like pattern removal laryngeal cancer detection classification |
| url | http://www.mdpi.com/1424-8220/16/8/1288 |
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