@inproceedings{eeb7ee10e11443569fb396fb77a9c0fd,
title = "High resolution cardiac shape registration using Ricci flow",
abstract = "Current CT techniques are able to produce isotropic high resolution CT images (0.5mm). Recent research has revealed that the interior of the left ventricle has complex structures and topology, which has potentially valuable information. However, this makes the matching between models much more challenging. In this paper, we propose a novel method to match two models with non-trivial topology. 3D mesh models are flattened onto a 2D planar surfaces using discrete hyperbolic Ricci flow. Therefore, the 3D matching problem is converted to a much simpler 2D matching problem. We show the performance on the registration of high resolution left ventricle models.",
keywords = "Ricci flow, high resolution CT, shape registration",
author = "Mingchen Gao and Rui Shi and Shaoting Zhang and Wei Zeng and Zhen Qian and Gu, \{Xianfeng Daivd\} and Dimitris Metaxas and Leon Axel",
year = "2013",
doi = "10.1109/ISBI.2013.6556518",
language = "English",
isbn = "9781467364546",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "488--491",
booktitle = "ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging",
address = "United States",
note = "10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 ; Conference date: 07-04-2013 Through 11-04-2013",
}