Segmentation of CT images of the liver with radiology based on the water-based algorithm

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Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:
Purpose

The purpose of the present study is to segment the CT images of the liver with radiology based on the watershed algorithm.

Materials and methods

In this study, a semi-automated method for dividing liver tumors using CT scan images has been presented. First, the tumor and liver tissue is determined by the user with point selection. Then, with the help of Abpakhshan method, the three-dimensional morphology of the primary points in the tumor and liver are determined. Then, estimation of tumor and liver tissue labels is done with the method of propagation of dependent constraints. By taking the distance between the obtained labels, the tumor boundary is obtained, and finally, the final boundaries of the tumor are determined by using the edge detector.

Findings

Changes in the number of initial points have little effect on the output results. In the CAP method, considering that the data estimation is done using the sampled points and estimates around these points, with any number of initial samples, the CAP method is able to produce the final results, which shows the high power of the CAP method in It is an estimate of the data.

Conclusion

The use of the watershed algorithm improves the segmentation of CT images of the liver with radiology.

Language:
Persian
Published:
Journal of Applied Biology, Volume:13 Issue: 2, 2024
Pages:
35 to 58
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