Curvature Lines for Lesion Detection and Visualization in CT Colonography

Lingxiao2011-300.png

L. Zhao, Curvature Lines for Lesion Detection and Visualization in CT Colonography. , PhD thesis, Delft University of Technology, March 2011.

The image on the left shows a visualization of the colonic surface. Several colonic polyps are presented on the colon wall as spherical protrusions. These polyps are highlighted by rendering lines of curvature around their neck areas.

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Abstract

In this thesis, we present an automatic polyp detection approach that integrates knowledge from flow visualization techniques. Our primary goal was to compute additional characteristic polyp features that improve the CAD performance of existing polyp detection approaches by eliminating found false-positive polyp candidates. We found that surface principal curvature directions presented discriminating patterns on surface areas that belong to colonic polyps. These could be visualized using lines of curvatures. We developed novel approaches for generating lines of curvature on the colon wall. In order to provide sufficient shape information, lines of curvature were distributed using curvature-adaptive streamline seeding and spacing strategies. Geometric features of lines of curvature were used to differentiate between true polyp detections and false positives. The visualization of the colon wall was also enhanced by visualizing lines of curvature.

More info

The Ph.D. defence will take place at 10:00 on Wednesday March 9, 2011 in the Senaatszaal of the TU Delft Aula at Mekelweg 5. At 9:30, Lingxiao Zhao will be giving his introductory presentation in the same room. Immediately after the defence at about 11:00, a reception will be held in the Frank van Hasseltzaal.

Professor Bernhard Preim, a member of the opposition committee, will be giving a guest presentation the day before (Tuesday, March 8) at 15:30 in the Shannon Room of the EEMCS building. The title of his talk is Visual Exploration of Simulated and Measured Blood Flow Data. The abstract is as follows:

In this talk we present image analysis, visualization and interaction techniques to explore blood flow data, resulting from either CFD simulations or MR-PCA measurements. This research is motivated by the attempt to better understand the interaction between the morphology and hemodynamics in vascular diseases, such as aneurysms. We describe the extraction of anatomic landmarks, illustrative rendering and constrained 3D widgets to explore the flow in cerebral aneurysms.

Images

Lingxiao2011-CCSS.png

This image demonstrates curvature lines generated on the implicit iso-surface of a polyp, distributed over the area using curvature-controlled seeding and spacing strategies.

Lingxiao2011-Clustering.png

This image shows the colonic surface partitioning based on clustering curvature lines in the vicinity of a colonic polyp. One curvature line cluster corresponds with the actual polyp surface.

Media

Publications/Zhao2011 (last edited 2011-03-07 14:05:21 by LingxiaoZhao)