ATLAS FOR AUTOMATIC SEGMENTATION OF RETINA LAYERS FROM OCT IMAGES

    公开(公告)号:US20210082123A1

    公开(公告)日:2021-03-18

    申请号:US17050269

    申请日:2019-04-26

    IPC分类号: G06T7/143

    摘要: A method for segmentation of a 3-D medical image uses an adaptive patient-specific atlas and an appearance model for 3-D Optical Coherence Tomography (OCT) data. For segmentation of a medical image of a retina, In order to reconstruct the 3-D patient-specific retinal atlas, a 2-D slice of the 3-D image containing the macula mid-area is segmented first. A 2-D shape prior is built using a series of co-aligned training OCT images. The shape prior is then adapted to the first order appearance and second order spatial interaction MGRF model of the image data to be segmented. Once the macula mid-area is segmented into separate retinal layers this initial slice, the segmented layers' labels and their appearances are used to segment the adjacent slices. This step is iterated until the complete 3-D medical image is segmented.