Lennart Tautz, Mathias Neugebauer, Markus Hüllebrand, Katharina Vellguth, Franziska Degener, Simon Sündermann, Isaac Wamala, Leonid Goubergrits, Titus Kuehne, Volkmar Falk, Anja Hennemuth
PURPOSE: The importance of mitral valve therapies is rising due to an aging population. Visualization and quantification of the valve anatomy from image acquisitions is an essential component of surgical and interventional planning. The segmentation of the mitral valve from computed tomography (CT) acquisitions is challenging due to high variation in appearance and visibility across subjects. We present a novel semi-automatic approach to segment the open-state valve in 3D CT volumes that combines user-defined landmarks to an initial valve model which is automatically adapted to the image information, even if the image data provide only partial visibility of the valve...
November 2018: International Journal of Computer Assisted Radiology and Surgery