Abstract:
:Due to the complex topological structure of the coronary artery and the uneven distribution of the contrast agent, the angiography images are inevitably blurred and has low contrast, which causes great difficulty in process of segmentation. For this problem, a two-steps segmentation algorithm based on Hessian matrix and level set is proposed in this paper. Firstly, potential blood vessels of coronary images are preliminary extracted via Hessian matrix eigenvalues feature vectors of the geometric features and the response function. Then a novel regularization and area constraint is introduced into the local data energy fitting functional. Finally, the precision of Coronary Artery image is obtained in the evolution of the level set function. Experiments show that our proposed algorithm has better performance to these comparison segmentation algorithms.
journal_name
J Med Systjournal_title
Journal of medical systemsauthors
Ge S,Shi Z,Peng G,Zhu Zdoi
10.1007/s10916-019-1329-ysubject
Has Abstractpub_date
2019-05-29 00:00:00pages
210issue
7eissn
0148-5598issn
1573-689Xpii
10.1007/s10916-019-1329-yjournal_volume
43pub_type
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