Reconstruction 3D de structures vasculaires par coloriage voxélique à partir d'angiographie biplan

Abstract

Biplane X-ray angiography is currently the gold standard for navigational guidance during percutaneous interventions in vascular structures. Although, X-ray angiography is solely based on 2D projections, and provides limited 3D geometrical information. This study introduces a novel graph-based voxel coloring method for 3D reconstruction of vascular structures from biplane X-ray angiography sequences. Using a discretized visual hull from segmentation masks of angiography images, a graph is constructed. The centerline is obtained by manual pairing of pixels from both images. The volumetric reconstruction is performed using a Random Walks algorithm on the graph. To do so, an energy function is defined by the segmentation masks and the 3D centerline. This function is then minimized in order to obtain a probability for each voxel to belong to the 3D volume. After thresholding of the probabilities, the Random Walks algorithm provides a coarse volumetric model of the vascular structure that is then refined using a multi-scale approach. The idea is to divide each voxel until each one of them is classified as accepted or rejected in the 3D volume or until a certain number of multi-scale steps has been reached. The reconstruction method is validated using clinical data provided by CHU Sainte-Justine as well as images generated using a realistic cardiorespiratory simulator. Obtained results promise for an online clinical use.

Date	5 Sept 2017
Original language	French
Awarding Institution	École de technologie supérieure
Supervisor	Luc Duong (Supervisor)