In this study, a diversity of the human lacrimal canaliculus (LC) shape was shown using dynamic optical coherence tomography (D-OCT) method. D-OCT is a method of clear imaging of a fluid using a contrast agent. LC plays an important role in tear drainage system and it is expected to assess LC in detail without pain of subjects. Non-invasive and non-contact OCT imaging of LC of 6 eyes of 3 subjects was performed. The LC images were cut out by applying the D-OCT method and three-dimensionally reconstructed to evaluate the characteristics of LC. Although no significant difference was found between the left and right LCs of the same subject, it was shown that individual differences were remarkable.
In this study, the human lacrimal canaliculus (LC), an important segment of the lacrimal drainage system, was imaged using dynamic optical coherence tomography (D-OCT) and the 3D structure of the LC was rendered. In D-OCT system, a turbid commercial ophthalmic solution was used as an extrinsic contrast agent. The lumen boundary of the LC appeared clearer in D-OCT images compared with simple static OCT images, making segmentation easier. D-OCT was performed by calculating the sum of the squared differences of intensities with two different normalization parameters. By color-combining these two D-OCT images and static OCT image, using image calculation software, the contrast agent and the lumen boundary can be clearly separated. 3D volumetric images of the LCs are demonstrated.
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