bibtext: @InProceedings{ Caf_Two_MICCAI2024,
                   author = { Cafaro, Alexandre and Dorent, Reuben and Haouchine, Nazim and Lepetit, Vincent and Paragios, Nikos and Wells III, William M. and Frisken, Sarah },
                   title = { { Two Projections Suffice for Cerebral Vascular Reconstruction } },
                   booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2024},
                   year = {2024},
                   publisher = {Springer Nature Switzerland},
                   volume = { LNCS 15007 },
                   month = {October},
                   pages = { pending },
                }
abstract: 3D reconstruction of cerebral vasculature from 2D biplanar projections could significantly improve diagnosis and treatment planning. We introduce a novel approach to tackle this challenging task by initially backprojecting the two projections, a process that traditionally results in unsatisfactory outcomes due to inherent ambiguities. To overcome this, we employ a U-Net approach trained to resolve these ambiguities, leading to significant improvement in reconstruction quality. The process is further refined using a Maximum A Posteriori strategy with a prior that favors continuity, leading to enhanced 3D reconstructions. We evaluated our approach using a comprehensive dataset comprising segmentations from approximately 700 MR angiography scans, from which we generated paired realistic biplanar DRRs. Upon testing with held-out data, our method achieved an 80% Dice similarity w.r.t the ground truth, superior to existing methods. Our code and dataset are available at https://github.com/Wapity/3DBrainXVascular.
title: Two Projections Suffice for Cerebral Vascular Reconstruction
authors: Cafaro, Alexandre Dorent, Reuben Haouchine, Nazim Lepetit, Vincent Paragios, Nikos Wells III, William M. Frisken, Sarah