Comput Math Methods Med - Development of image segmentation methods for intracranial aneurysms.

Tópicos

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Resumo

Though providing vital means for the visualization, diagnosis, and quantification of decision-making processes for the treatment of vascular pathologies, vascular segmentation remains a process that continues to be marred by numerous challenges. In this study, we validate eight aneurysms via the use of two existing segmentation methods; the Region Growing Threshold and Chan-Vese model. These methods were evaluated by comparison of the results obtained with a manual segmentation performed. Based upon this validation study, we propose a new Threshold-Based Level Set (TLS) method in order to overcome the existing problems. With divergent methods of segmentation, we discovered that the volumes of the aneurysm models reached a maximum difference of 24%. The local artery anatomical shapes of the aneurysms were likewise found to significantly influence the results of these simulations. In contrast, however, the volume differences calculated via use of the TLS method remained at a relatively low figure, at only around 5%, thereby revealing the existence of inherent limitations in the application of cerebrovascular segmentation. The proposed TLS method holds the potential for utilisation in automatic aneurysm segmentation without the setting of a seed point or intensity threshold. This technique will further enable the segmentation of anatomically complex cerebrovascular shapes, thereby allowing for more accurate and efficient simulations of medical imagery.

Resumo Limpo

though provid vital mean visual diagnosi quantif decisionmak process treatment vascular patholog vascular segment remain process continu mar numer challeng studi valid eight aneurysm via use two exist segment method region grow threshold chanves model method evalu comparison result obtain manual segment perform base upon valid studi propos new thresholdbas level set tls method order overcom exist problem diverg method segment discov volum aneurysm model reach maximum differ local arteri anatom shape aneurysm likewis found signific influenc result simul contrast howev volum differ calcul via use tls method remain relat low figur around therebi reveal exist inher limit applic cerebrovascular segment propos tls method hold potenti utilis automat aneurysm segment without set seed point intens threshold techniqu will enabl segment anatom complex cerebrovascular shape therebi allow accur effici simul medic imageri

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