BMC medical imaging
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BMC medical imaging · May 2019
Quantifying cervical spondylosis: reliability testing of a coherent CT-based scoring system.
Grading of degeneration of the cervical spine is of great clinical value, considering the vast amount of radiological investigations that are being done with this query. Despite the fact that Computed Tomography (CT) is frequently used in clinical practice there is today no user-friendly and reliable scoring system for assessment of cervical spondylosis on CT-scans available. The aim of this study was to establish a scoring system for cervical spondylosis based on CT-scans and to test it for reliability. ⋯ This coherent scoring system assessing both disc degeneration and facet joint degeneration on CT-scans of the cervical spine was shown to meet the standards of reliability.
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BMC medical imaging · May 2019
Multi-atlas active contour segmentation method using template optimization algorithm.
Brain image segmentation is the basis and key to brain disease diagnosis, treatment planning and tissue 3D reconstruction. The accuracy of segmentation directly affects the therapeutic effect. Manual segmentation of these images is time-consuming and subjective. Therefore, it is important to research semi-automatic and automatic image segmentation methods. In this paper, we propose a semi-automatic image segmentation method combined with a multi-atlas registration method and an active contour model (ACM). ⋯ In this paper, we propose a semi-automatic brain image segmentation method. The main contributions of this paper are as follows: 1) Our method uses a multi-atlas registration method based on affine transformation, which effectively reduces the multi-atlas registration time compared to the complex nonlinear registration method. The average registration time of each target image in the IBSR datasets is 255 s, and the average registration time of each target image in the MRBrainS13 datasets is 409 s. 2) We used a template optimization algorithm to improve registration error and generate a continuous IAC. 3) Finally, we used a ACM to segment the target tissue and obtain a smooth continuous target contour.