@inproceedings{ddb5922a62d149b8b3a69ab356e56a93,
title = "Global colon geometric structure analysis based on geodesics and conformal flattening",
abstract = "Global geometric structure analysis plays an important role in computer vision and medical imaging. Human colon has complex geometric structures; colonic modeling has been the most challenging issue for computer aided detection and diagnosis (CADe and CADx). The increasing demand for colon modeling relies on the construction of an accurate endoscopy view for physician to locate polyps, precursors of colorectal cancer. This work focus on automatically locating the Teniae Coli, Haustral Folds and extracting centerline, which gives the global geometric structure of a colon wall surface anatomy. A series of algorithms based on geodesics and conformal flattening are proposed: auxiliary Riemannian metric algorithm for Teniae Coli tracking; geodesic clustering method for Haustral folding location; harmonic mass center method for centerline construction. Our method is fully automatic, accurate and robust. We tested our method on real colon surfaces reconstructed from CT images. The experimental results demonstrate the efficiency and efficacy of our method.",
keywords = "Colon Centerline, Colon Geometric Structure, Colonic Modeling, Conformal Flattening, Geodesics, Haustral Folding, Teniae Coli",
author = "Hao Peng and Rui Shi and Shiqing Xin and Xianfeng Gu",
year = "2013",
doi = "10.1007/978-3-642-41083-3\_13",
language = "English",
isbn = "9783642410826",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "107--116",
booktitle = "Abdominal Imaging",
note = "5th International Workshop on Abdominal Imaging: Computation and Clinical Applications, Held in Conjunction with 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 ; Conference date: 22-09-2013 Through 22-09-2013",
}