Virtual voyage: interactive navigation in the human colon
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Nonlinear virtual colon unfolding
Proceedings of the conference on Visualization '01
Dual Contouring with Topology-Preserving Simplification Using Enhanced Cell Representation
VIS '04 Proceedings of the conference on Visualization '04
Acceleration Techniques for GPU-based Volume Rendering
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Conformal virtual colon flattening
Proceedings of the 2006 ACM symposium on Solid and physical modeling
A topology preserving level set method for geometric deformable models
IEEE Transactions on Pattern Analysis and Machine Intelligence
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Evaluating automatic warning cues for visual search in vascular images
Proceedings of the 15th international conference on Intelligent user interfaces
Improving polyp detection algorithms for CT colonography: Pareto front approach
Pattern Recognition Letters
Conformal geometry based supine and prone colon registration
MICCAI'10 Proceedings of the Second international conference on Virtual Colonoscopy and Abdominal Imaging: computational challenges and clinical opportunities
Surface curvature line clustering for polyp detection in CT colonography
EG VCBM'08 Proceedings of the First Eurographics conference on Visual Computing for Biomedicine
Real-time surface analysis and tagged material cleansing for virtual colonoscopy
VG'10 Proceedings of the 8th IEEE/EG international conference on Volume Graphics
An improved method of automatic colon segmentation for virtual colon unfolding
Computer Methods and Programs in Biomedicine
Efficient topological cleaning for visual colon surface flattening
MICCAI'12 Proceedings of the 4th international conference on Abdominal Imaging: computational and clinical applications
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We present a novel pipeline for computer-aided detection (CAD) of colonic polyps by integrating texture and shape analysis with volume rendering and conformal colon flattening. Using our automatic method, the 3D polyp detection problem is converted into a 2D pattern recognition problem. The colon surface is first segmented and extracted from the CT data set of the patient's abdomen, which is then mapped to a 2D rectangle using conformal mapping. This flattened image is rendered using a direct volume rendering technique with a translucent electronic biopsy transfer function. The polyps are detected by a 2D clustering method on the flattened image. The false positives are further reduced by analyzing the volumetric shape and texture features. Compared with shape based methods, our method is much more efficient without the need of computing curvature and other shape parameters for the whole colon surface. The final detection results are stored in the 2D image, which can be easily incorporated into a virtual colonoscopy (VC) system to highlight the polyp locations. The extracted colon surface mesh can be used to accelerate the volumetric ray casting algorithm used to generate the VC endoscopic view. The proposed automatic CAD pipeline is incorporated into an interactive VC system, with a goal of helping radiologists detect polyps faster and with higher accuracy.