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- W2904541736 abstract "The examination under anaesthesia for laryngeal and hypopharyngeal cancer, is a burdensome intervention. The aim is to develop an application for the 3D visualisation of the larynx, called virtual laryngoscopy, to enable future testing of the application to replace the EUA. The research consists of three parts; (1) an investigation into the different options for imaging modalities and inclusion of subjects; (2) images of the included subjects have to be processed; and (3) a visualisation of the processed data was made in 3D.The analysis of the different imaging modalities resulted in the retrospective inclusion of five subjects with laryngeal or hypopharyngeal cancer that had a CT and MRI of the neck. The images of the modalities were registered during the second part, to enable combined use. Next, a machine learning algorithm was trained to automatically classify tumour tissue. Next, the segmentation of the airway on CT was combined with the classified tumour tissue on the MRI in a 3D representation. The result of this research is not yet ready for clinical use but gives the motivation to start a subsequent research in which a homogeneous dataset will be acquired with CT and MRI scans, to quantitatively asses the VL." @default.
- W2904541736 created "2018-12-22" @default.
- W2904541736 creator A5042153108 @default.
- W2904541736 date "2018-01-01" @default.
- W2904541736 modified "2023-09-27" @default.
- W2904541736 title "Design of a multi-modality based virtual laryngoscopy application" @default.
- W2904541736 hasPublicationYear "2018" @default.
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