Dresden in vivo OCT Dataset of the Middle Ear
Contributing person | Neudert, Marcus | |
Contributing person | Koch, Edmund | |
Contributing person | Schieffer, Catherina | |
Contributing person | Hu, Yujia | |
Contributing person | Ossmann, Steffen | |
Contributing person | Kirsten, Lars | |
Contributing person | Speidel, Stefanie | |
Contributing person | Bodenstedt, Sebastian | |
References to related material | 10.1117/12.2650730 | |
Description of the data | Data collected as part of the clinical daily diagnostics at the University Hospital Carl Gustav Carus Optical coherence tomography image volumes of the human middle ear with segmentations and annotations | |
Type of the data | Dataset | |
Type of the data | Image | |
Total size of the dataset | 21131659358 | |
Author | Steuer, Svea | |
Author | Golde, Jonas | |
Author | Morgenstern, Joseph | |
Author | Liu, Peng | |
Upload date | 2023-12-21T14:06:03Z | |
Publication date | 2023-12-31T23:01:25Z | |
Publication date | 2026-06-11T15:50:10Z | |
Data of data creation | 2022-2023 | |
Publication date | 2023-12-31 | |
Abstract of the dataset | The data collection contains 43 optical coherence tomography (OCT) volumes from both healthy and pathological middle ears of 29 subjects recorded with a non-invasive endoscopic OCT device applicable in vivo. Due to the shadowing of preceding structures interpreting such OCT volumes needs expertise and is time-consuming. Nowadays, deep neural networks have emerged to facilitate this process regarding segmentation, classification and registration. Hence, the dataset offers semantic segmentations of five crucial anatomical structures (tympanic membrane, malleus, incus, stapes and promontory), and sparse landmarks delineating the salient features of the structures additionally. The complete dataset provides the possibility to develop and train own networks and algorithms for the evaluation of middle ear OCT volumes. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/2682 | |
Public reference to this page | https://doi.org/10.25532/OPARA-279 | |
dc.language | eng | |
Publisher | Technische Universität Dresden | |
Licence | Attribution 4.0 International | |
URI of the licence text | http://creativecommons.org/licenses/by/4.0/ | |
Specification of the discipline(s) | 3::32 | |
Specification of the discipline(s) | 4::44::409 | |
Specification of the discipline(s) | 2::22 | |
Title of the dataset | Dresden in vivo OCT Dataset of the Middle Ear | |
Research instruments | Custom endoscopic OCT device | |
Underlying research object | Healthy volunteers and patients with age ranging from 22 to 66 | |
Project title | D2EAR - Digital diagnostics for the middle ear with endoscopic optical coherence tomography and machine learning |
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