Comput Math Methods Med - Coronary artery center-line extraction using second order local features.

Tópicos

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Resumo

Of interest is the accurate and robust delineation of vessel center-lines for complete arterial tree structure in coronary angiograms which is an imperative step towards 3D reconstruction of coronary tree and feature-based registration of multiple view angiograms. Most existing center-line tracking methods encounter limitations in coping with abrupt variations in local artery direction and sudden changes of lumen diameter that occur in the vicinity of arterial lesions. This paper presents an improved center-line tracing algorithm for automatic extraction of coronary arterial tree based on robust local features. The algorithm employs an improved scanning schema based on eigenvalues of Hessian matrix for reliable identification of true vessel points as well as an adaptive look-ahead distance schema for calculating the magnitude of scanning profile. In addition to a huge variety of clinical examples, a well-established vessel simulation tool was used to create several synthetic angiograms for objective comparison and performance evaluation. The experimental results on the accuracy and robustness of the proposed algorithm and its counterparts under difficult situations such as poor image quality and complicated vessel geometry are presented.

Resumo Limpo

interest accur robust delin vessel centerlin complet arteri tree structur coronari angiogram imper step toward d reconstruct coronari tree featurebas registr multipl view angiogram exist centerlin track method encount limit cope abrupt variat local arteri direct sudden chang lumen diamet occur vicin arteri lesion paper present improv centerlin trace algorithm automat extract coronari arteri tree base robust local featur algorithm employ improv scan schema base eigenvalu hessian matrix reliabl identif true vessel point well adapt lookahead distanc schema calcul magnitud scan profil addit huge varieti clinic exampl wellestablish vessel simul tool use creat sever synthet angiogram object comparison perform evalu experiment result accuraci robust propos algorithm counterpart difficult situat poor imag qualiti complic vessel geometri present

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