PG: Pacific Graphics Short Papers

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Colorectal Protrusions Detection based on Conformal Colon Flattening
(The Eurographics Association, 2024) Ren, Yuxue; Hu, Wei; Li, Zhengbin; Chen, Wei; Lei, Na; Chen, Renjie; Ritschel, Tobias; Whiting, Emily
We 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.