Segmentation of Locally Varying Numbers of Outer Retinal Layers by a Model Selection Approach
| Autor: | Lucas J. van Vliet, Suzanne Yzer, Jelena Novosel, Koenraad A. Vermeer |
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| Rok vydání: | 2017 |
| Předmět: |
Computer science
01 natural sciences Retina 030218 nuclear medicine & medical imaging 010309 optics 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Optical coherence tomography 0103 physical sciences Retinitis pigmentosa medicine Humans Segmentation Computer vision Electrical and Electronic Engineering Radiological and Ultrasound Technology medicine.diagnostic_test business.industry Model selection Visibility (geometry) Reproducibility of Results Pattern recognition Retinal Image segmentation medicine.disease Computer Science Applications medicine.anatomical_structure chemistry Tomography Artificial intelligence business Tomography Optical Coherence Software |
| Zdroj: | IEEE Transactions on Medical Imaging. 36:1306-1315 |
| ISSN: | 1558-254X 0278-0062 |
| DOI: | 10.1109/tmi.2017.2666044 |
| Popis: | Extraction of image-based biomarkers, such as the presence, visibility, or thickness of a certain layer, from 3-D optical coherence tomography data provides relevant clinical information. We present a method to simultaneously determine the number of visible layers in the outer retina and segment them. The method is based on a model selection approach with special attention given to the balance between the quality of a fit and model complexity. This will ensure that a more complex model is selected only if this is sufficiently supported by the data. The performance of the method was evaluated on healthy and retinitis pigmentosa (RP) affected eyes. In addition, the reproducibility of automatic method and manual annotations was evaluated on healthy eyes. Good agreement between the segmentation performed manually by amedical doctor and results obtained fromthe automatic segmentation was found. The mean unsigned deviation for all outer retinal layers in healthy and RP affected eyes varied between 2.6 and $4.9~\mu \text{m}$ . The reproducibility of the automatic method was similar to the reproducibility of the manual segmentation. Overall, the method provides a flexible and accurate solution for determining the visibility and location of outer retinal layers and could be used as an aid for the disease diagnosis and monitoring. |
| Databáze: | OpenAIRE |
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