Increasing the resolution of morphological 3D image data sets through image stitching: application to the temporal bone
| Autor: | Silke Hügl, Th. S. Rau, G. J. Lexow, F. Eckardt, Omid Majdani, Th. Lenarz |
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| Rok vydání: | 2016 |
| Předmět: |
Pixel
Computer science business.industry Biomedical Engineering Computational Mechanics Magnification Scale-invariant feature transform 030218 nuclear medicine & medical imaging Computer Science Applications Image stitching 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Temporal bone Middle ear medicine Radiology Nuclear Medicine and imaging Computer vision Artificial intelligence 030223 otorhinolaryngology business Fiducial marker Image resolution |
| Zdroj: | Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 5:438-445 |
| ISSN: | 2168-1171 2168-1163 |
| Popis: | Background and objective: Imaging of soft and hard tissue structures inside the inner ear is necessary for the development of new cochlear implant electrodes and their evaluation through insertion studies using human temporal bone specimens. An automated image stitching is presented to enhance the image resolution and the identification of the inner ear structures. Methods: Thirty human temporal bone specimens were either embedded in white epoxy resin for generating an anatomical atlas or in transparent epoxy resin for evaluation of insertion studies of cochlear implant electrodes. Cross-sectional overview images and the corresponding magnified detail images of these samples were stitched using the Scale Invariant Feature Transform algorithm. The resulting fiducial registration error (FRE) was evaluated. Results: The pixel spacing improved by a factor of 3.5, respectively, 5.6 depending on the magnification used for the detail images. The mean FRE is 0.5 ± 0.3 px based on all 4213 processed image ... |
| Databáze: | OpenAIRE |
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