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Prof Albert C.S. Chung and his PhD student Ms. Qing (Chloe) Zhang received the Best Paper Award in Medical Image Analysis with a paper titled "3D Vessel Segmentation Using Random Walker with Oriented Flux Analysis and Direction Coherence" at The 7th International Conference on Medical Imaging and Augmented Reality (MIAR2016). This event took place from the 24th to 26th of August 2016 in Bern, Switzerland.
The paper aims to propose a more efficient graph-based method for 3D vessel segmentation with the help of oriented flux analysis and direction coherence, which work both in the graph construction and energy function formulation. Comparative demonstrations with classical random walker and region growing, as well as a Hessian-enhanced graph-based method show that this proposed method produce better performance on both synthetic and real images, and has higher robustness when the noise level increases.