Comput Math Methods Med - Automatic vasculature identification in coronary angiograms by adaptive geometrical tracking.

Tópicos

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Resumo

As the uneven distribution of contrast agents and the perspective projection principle of X-ray, the vasculatures in angiographic image are with low contrast and are generally superposed with other organic tissues; therefore, it is very difficult to identify the vasculature and quantitatively estimate the blood flow directly from angiographic images. In this paper, we propose a fully automatic algorithm named adaptive geometrical vessel tracking (AGVT) for coronary artery identification in X-ray angiograms. Initially, the ridge enhancement (RE) image is obtained utilizing multiscale Hessian information. Then, automatic initialization procedures including seed points detection, and initial directions determination are performed on the RE image. The extracted ridge points can be adjusted to the geometrical centerline points adaptively through diameter estimation. Bifurcations are identified by discriminating connecting relationship of the tracked ridge points. Finally, all the tracked centerlines are merged and smoothed by classifying the connecting components on the vascular structures. Synthetic angiographic images and clinical angiograms are used to evaluate the performance of the proposed algorithm. The proposed algorithm is compared with other two vascular tracking techniques in terms of the efficiency and accuracy, which demonstrate successful applications of the proposed segmentation and extraction scheme in vasculature identification.

Resumo Limpo

uneven distribut contrast agent perspect project principl xray vasculatur angiograph imag low contrast general superpos organ tissu therefor difficult identifi vasculatur quantit estim blood flow direct angiograph imag paper propos fulli automat algorithm name adapt geometr vessel track agvt coronari arteri identif xray angiogram initi ridg enhanc re imag obtain util multiscal hessian inform automat initi procedur includ seed point detect initi direct determin perform re imag extract ridg point can adjust geometr centerlin point adapt diamet estim bifurc identifi discrimin connect relationship track ridg point final track centerlin merg smooth classifi connect compon vascular structur synthet angiograph imag clinic angiogram use evalu perform propos algorithm propos algorithm compar two vascular track techniqu term effici accuraci demonstr success applic propos segment extract scheme vasculatur identif

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