Ph.D. Candidate in Computer Engineering
Research
Fusion of Multi-modal Sequences
for Image Guided Cardiac Interventions
Fusion of Multi-modal Sequences
for Image Guided Cardiac Interventions
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The quality of cardiac image sequences is often a compromise between spatial and temporal resolutions. The fusion of high spatial cues (e.g. from CT or MR) with high temporal cues (e.g. from fluoroscopy) will bring sequences of high spatio-temporal resolution to cardiac interventions. This will be solved with a mathematical framework unifying 4D segmentation and registration.
Interesting papers: CiteULike |
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Publications
A Multilevel Graph Cuts Method for Fast Image Segmentation,
ICCV'05
pdf
Herve Lombaert, Yiyong Sun, Leo Grady, Chenyang Xu.
Landmark-based Non-rigid Registration via Graph Cuts,
ICIAR'07
pdf
Herve Lombaert, Yiyong Sun, Farida Cheriet.
Fusion of Multimodal Cardiac Image Sequences
Herve Lombaert, Thesis Proposal
Patents
Fast 4D Segmentation of Large Datasets Using Graph Cuts (2007)
Y. Sun, H. Lombaert, F. Cheriet.
60/908,740 (USA)
Interactive 4D Virtual Endoscopy for Cardiac Imaging (2007)
H. Lombaert, F. Sauer, Y. Sun, C. Xu.
60/857,637 (USA, China)
11/874,975 (USA, China)
11/874,975 (USA, China)
Intuitive User Interface for Endoscopic View Visualization (2007)
N. Rahn, C. Xu, Y. Sun, S. Baker, M. John, H. Lombaert.
11/227,807 (USA)
Multilevel Image Segmentation (2006)
Y. Sun, H. Lombaert, L. Grady, C. Xu.
11/313,102 (USA, India)
Upcoming deadlines