3D reconstruction of vascular structures using graph-based voxel coloring

Remi Martin, Etienne Vachon, Joaquim Miro, Luc Duong
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qcepwfkflvg5toaa6fh2alj3b4" style="color: black;">2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)</a> </i> &nbsp;
Biplane X-ray angiography is currently the gold standard for navigational guidance during percutaneous interventions in vascular structures; but it remains limited to 2D projections. In this study, we propose a novel graph-based voxel coloring method for 3D reconstruction of vascular structures from biplane X-ray angiography sequences. The reconstruction is obtained by using the random walks algorithm on a graphbased representation of a discretized visual hull, to obtain the probability of
more &raquo; ... ging to the vascular structure. A multiscale scheme is introduced to reconstruct at a finer level, while being computationally efficient. The proposed method was validated using the XCAT motion simulator and on calibrated clinical data.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/isbi.2017.7950692">doi:10.1109/isbi.2017.7950692</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/isbi/MartinVMD17.html">dblp:conf/isbi/MartinVMD17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/udnbvo7xqvb7rbzx2ctbw3wpca">fatcat:udnbvo7xqvb7rbzx2ctbw3wpca</a> </span>
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