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Tool for 3D analysis and segmentation of retinal layers in volumetric SD-OCT images
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Resumo(s)
With the development of optical coherence tomography in the spectral domain
(SD-OCT), it is now possible to quickly acquire large volumes of images. Typically
analyzed by a specialist, the processing of the images is quite slow, consisting
on the manual marking of features of interest in the retina, including the determination
of the position and thickness of its different layers. This process is not
consistent, the results are dependent on the clinician perception and do not take
advantage of the technology, since the volumetric information that it currently
provides is ignored.
Therefore is of medical and technological interest to make a three-dimensional
and automatic processing of images resulting from OCT technology. Only then we
will be able to collect all the information that these images can give us and thus
improve the diagnosis and early detection of eye pathologies. In addition to the
3D analysis, it is also important to develop visualization tools for the 3D data.
This thesis proposes to apply 3D graphical processing methods to SD-OCT
retinal images, in order to segment retinal layers. Also, to analyze the 3D retinal
images and the segmentation results, a visualization interface that allows displaying
images in 3D and from different perspectives is proposed. The work was based
on the use of the Medical Imaging Interaction Toolkit (MITK), which includes
other open-source toolkits.
For this study a public database of SD-OCT retinal images will be used, containing
about 360 volumetric images of healthy and pathological subjects.
The software prototype allows the user to interact with the images, apply 3D
filters for segmentation and noise reduction and render the volume. The detection
of three surfaces of the retina is achieved through intensity-based edge detection
methods with a mean error in the overall retina thickness of 3.72 0.3 pixels.
Descrição
Palavras-chave
Retinal SD-OCT Retinal layers 3D automatic segmentation 3D visualization MITK