Vascular pattern detection and recognition in endoscopic imaging of the vocal folds
At present transoral laryngeal interventions are mainly observed and controlled by an external two dimensional direct microscopic view. This modality provides an overall view on the surgery situs in a straight line of sight. For treatment planning and appropriate documentation, an endoscopic inspect...
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2018-09-01
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Online Access: | https://doi.org/10.1515/cdbme-2018-0019 |
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doaj-28f53633138242c1a1ad45a12c083e752021-09-06T19:19:25ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042018-09-0141757810.1515/cdbme-2018-0019cdbme-2018-0019Vascular pattern detection and recognition in endoscopic imaging of the vocal foldsBoese Axel0Illanes Alfredo1Balakrishnan Sathish2Davaris Nikolaos3Arens Christoph4Friebe Michael5Institute of medical technology, INKA, Otto-von-Guericke University,Magdeburg, GermanyInstitute of medical technology, INKA, Otto-von-Guericke University,Magdeburg, GermanyInstitute of medical technology, INKA, Otto-von-Guericke University,Magdeburg, GermanyDepartment of Otorhinolaryngology, Head & Neck Surgery, University Hospitals Magdeburg, Otto-von-Guericke-University,Magdeburg, GermanyDepartment of Otorhinolaryngology, Head & Neck Surgery, University Hospitals Magdeburg, Otto-von-Guericke-University,Magdeburg, GermanyInstitute of medical technology, INKA, Otto-von-Guericke University,Magdeburg, GermanyAt present transoral laryngeal interventions are mainly observed and controlled by an external two dimensional direct microscopic view. This modality provides an overall view on the surgery situs in a straight line of sight. For treatment planning and appropriate documentation, an endoscopic inspection is mandatory prior to surgery. Nowadays a detailed endoscopic work-up of laryngeal lesions can be performed by contact endoscopy in combination with structure enhancement like Narrow Band Imaging. High resolution and magnification of up to 150 times provide detailed visualization of vascular structures and pathological changes of the tissue surface. In these procedures it is difficult however to localize the evaluated areas on large scale scenes like the microscopic view used for surgery. To provide a fast and easy image matching an automated vessel pattern recognition and allocation is presented. Endoscopic images depicting representative vessel structures of the vocal folds are selected out of contact endoscopy video scenes. These images are pre-processed for background homogenization. A Frangi Vessel Segmentation filter and morphological operations are used to extract the vessel structure and match it to the microscopic image. Using this method 4 detailed contact endoscopy images could be allocated in different scenes of the microscope video. This method can be used to simplify treatment planning and to prepare image data for documentation.https://doi.org/10.1515/cdbme-2018-0019endoscopyvocal foldslarynxsurgeryentimage analysispattern recognitionpattern allocation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Boese Axel Illanes Alfredo Balakrishnan Sathish Davaris Nikolaos Arens Christoph Friebe Michael |
spellingShingle |
Boese Axel Illanes Alfredo Balakrishnan Sathish Davaris Nikolaos Arens Christoph Friebe Michael Vascular pattern detection and recognition in endoscopic imaging of the vocal folds Current Directions in Biomedical Engineering endoscopy vocal folds larynx surgery ent image analysis pattern recognition pattern allocation |
author_facet |
Boese Axel Illanes Alfredo Balakrishnan Sathish Davaris Nikolaos Arens Christoph Friebe Michael |
author_sort |
Boese Axel |
title |
Vascular pattern detection and recognition in endoscopic imaging of the vocal folds |
title_short |
Vascular pattern detection and recognition in endoscopic imaging of the vocal folds |
title_full |
Vascular pattern detection and recognition in endoscopic imaging of the vocal folds |
title_fullStr |
Vascular pattern detection and recognition in endoscopic imaging of the vocal folds |
title_full_unstemmed |
Vascular pattern detection and recognition in endoscopic imaging of the vocal folds |
title_sort |
vascular pattern detection and recognition in endoscopic imaging of the vocal folds |
publisher |
De Gruyter |
series |
Current Directions in Biomedical Engineering |
issn |
2364-5504 |
publishDate |
2018-09-01 |
description |
At present transoral laryngeal interventions are mainly observed and controlled by an external two dimensional direct microscopic view. This modality provides an overall view on the surgery situs in a straight line of sight. For treatment planning and appropriate documentation, an endoscopic inspection is mandatory prior to surgery. Nowadays a detailed endoscopic work-up of laryngeal lesions can be performed by contact endoscopy in combination with structure enhancement like Narrow Band Imaging. High resolution and magnification of up to 150 times provide detailed visualization of vascular structures and pathological changes of the tissue surface. In these procedures it is difficult however to localize the evaluated areas on large scale scenes like the microscopic view used for surgery. To provide a fast and easy image matching an automated vessel pattern recognition and allocation is presented. Endoscopic images depicting representative vessel structures of the vocal folds are selected out of contact endoscopy video scenes. These images are pre-processed for background homogenization. A Frangi Vessel Segmentation filter and morphological operations are used to extract the vessel structure and match it to the microscopic image. Using this method 4 detailed contact endoscopy images could be allocated in different scenes of the microscope video. This method can be used to simplify treatment planning and to prepare image data for documentation. |
topic |
endoscopy vocal folds larynx surgery ent image analysis pattern recognition pattern allocation |
url |
https://doi.org/10.1515/cdbme-2018-0019 |
work_keys_str_mv |
AT boeseaxel vascularpatterndetectionandrecognitioninendoscopicimagingofthevocalfolds AT illanesalfredo vascularpatterndetectionandrecognitioninendoscopicimagingofthevocalfolds AT balakrishnansathish vascularpatterndetectionandrecognitioninendoscopicimagingofthevocalfolds AT davarisnikolaos vascularpatterndetectionandrecognitioninendoscopicimagingofthevocalfolds AT arenschristoph vascularpatterndetectionandrecognitioninendoscopicimagingofthevocalfolds AT friebemichael vascularpatterndetectionandrecognitioninendoscopicimagingofthevocalfolds |
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