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.
Original language | English (US) |
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Title of host publication | Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings |
Publisher | Springer Verlag |
Pages | 505-512 |
Number of pages | 8 |
Edition | PART 2 |
ISBN (Print) | 9783319104690 |
DOIs | |
State | Published - 2014 |
Event | 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - Boston, MA, United States Duration: Sep 14 2014 → Sep 18 2014 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Number | PART 2 |
Volume | 8674 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Other
Other | 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 |
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Country/Territory | United States |
City | Boston, MA |
Period | 9/14/14 → 9/18/14 |
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science