@inproceedings{911d4ea023ce4147bc34e228c232a930,
title = "3D Reconstruction of Tubular Structure Using Radially Deployed Projections",
abstract = "Acquiring volumetric data plays a crucial role in the field of medical imaging. 3D reconstruction is mostly performed using multislice image datasets. The objective of this research is to introduce a magnetic resonance technique for imaging tubular structures and their 3D reconstructions using multiple radially deployed projections. The oblique projection sequence was evaluated on a phantom, and multislice dataset is collected using the same phantom for the reference. To compute the correctness of the 3D reconstruction process, the resulting meshes were compared using the Hausdorff Distance Calculation and Point Cloud Comparison methods.",
keywords = "3D Reconstruction, Magnetic Resonance Imaging, Oblique Projections",
author = "Mahmut Unan and Junmo An and Ionnis Seimenis and Shah, {Dipan J.} and Tsekos, {Nikolaos V.}",
note = "Funding Information: This work was supported in part by the National Science Foundation grant CNS-1646566, a Greek Diaspora Fellowship granted by the Stavros Niarchos Foundation and administered by the Institute of International Education. All opinions, findings, conclusions or recommendations expressed in this work are those of the authors and do not necessarily reflect the views of our sponsors. Publisher Copyright: {\textcopyright} 2019 IEEE.; 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019 ; Conference date: 28-03-2019 Through 30-03-2019",
year = "2019",
month = apr,
day = "22",
doi = "10.1109/MIPR.2019.00064",
language = "English (US)",
series = "Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "322--327",
booktitle = "Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019",
address = "United States",
}