Colorectal Protrusions Detection based on Conformal Colon Flattening

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dc.contributor.authorRen, Yuxueen_US
dc.contributor.authorHu, Weien_US
dc.contributor.authorLi, Zhengbinen_US
dc.contributor.authorChen, Weien_US
dc.contributor.authorLei, Naen_US
dc.contributor.editorChen, Renjieen_US
dc.contributor.editorRitschel, Tobiasen_US
dc.contributor.editorWhiting, Emilyen_US
dc.date.accessioned2024-10-13T18:05:48Z
dc.date.available2024-10-13T18:05:48Z
dc.date.issued2024
dc.description.abstractWe propose an innovative approach to automatically detect colorectal protrusions on the colon surface. In the colon, these protrusions include polyps. This approach comprises two successive stages. In the first stage, we identify single protrusions and extract folds containing suspected protrusions in the flattened colon image by integrating shape analysis with curvature rendering and conformal colon flattening. This stage enables accurate and rapid detection of single protrusions, especially flat protrusions, since the 3D protrusion detection problem is converted into a 2D pattern recognition problem. To detect protrusions on folds, the folds containing suspected protrusions is inversely mapped back to 3D colon surface in the second stage. We detect protrusions in the 3D surface area by curvature-based analysis and reduce the false positives by quadratic surface fitting. We evaluated our method via real colon data from the National CT Colonography Trial of the American College of Radiology Imaging Network (ACRIN, 6664). Experimental results show that our method can efficiently and accurately identify protrusion lesions, is robust to noise, and is suitable for implementation within CTC-CAD systems.en_US
dc.description.sectionheadersHuman II
dc.description.seriesinformationPacific Graphics Conference Papers and Posters
dc.identifier.doi10.2312/pg.20241322
dc.identifier.isbn978-3-03868-250-9
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/pg.20241322
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/pg20241322
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Parametric curve and surface models; Image processing; Theory of computation → Computational geometry; Applied computing → Imaging
dc.subjectComputing methodologies → Parametric curve and surface models
dc.subjectImage processing
dc.subjectTheory of computation → Computational geometry
dc.subjectApplied computing → Imaging
dc.titleColorectal Protrusions Detection based on Conformal Colon Flatteningen_US
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