@inproceedings{49b1e387c83e41388dd3f9c9eecc14f5,
title = "Extracting vascular networks under physiological constraints via integer programming",
abstract = "We introduce an integer programming-based approach to vessel network extraction that enforces global physiological constraints on the vessel structure and learn this prior from a high-resolution reference network. The method accounts for both image evidence and geometric relationships between vessels by formulating and solving an integer programming problem. Starting from an over-connected network, it is pruning vessel stumps and spurious connections by evaluating bifurcation angle and connectivity of the graph. We utilize a high-resolution micro computed tomography (μCT) dataset of a cerebrovascular corrosion cast to obtain a reference network, perform experiments on micro magnetic resonance angiography(μMRA) images of mouse brains and discuss properties of the networks obtained under different tracking and pruning approaches.",
author = "Markus Rempfler and Matthias Schneider and Ielacqua, {Giovanna D.} and Xianghui Xiao and Stock, {Stuart R} and Jan Klohs and G{\'a}bor Sz{\'e}kely and Bjoern Andres and Menze, {Bjoern H.}",
year = "2014",
month = jan
day = "1",
doi = "10.1007/978-3-319-10470-6_63",
language = "English (US)",
isbn = "9783319104690",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 2",
pages = "505--512",
booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings",
address = "Germany",
edition = "PART 2",
note = "17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 ; Conference date: 14-09-2014 Through 18-09-2014",
}