Invariant surface characteristics for 3D object recognition in range images
Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
Display of Surfaces from Volume Data
IEEE Computer Graphics and Applications
Inferring Surface Trace and Differential Structure from 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Darboux Frames, Snakes, and Super-Quadrics: Geometry from the Bottom Up
IEEE Transactions on Pattern Analysis and Machine Intelligence
IPMI '93 Proceedings of the 13th International Conference on Information Processing in Medical Imaging
A review of vessel extraction techniques and algorithms
ACM Computing Surveys (CSUR)
Connectivity-based local adaptive thresholding for carotid artery segmentation using MRA images
Image and Vision Computing
Accuracy evaluation of different centerline approximations of blood vessels
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
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This paper is aimed at assisting a medical doctor to detect blood vessel diseases from the high-resolution 3D blood vessels images obtained by cone-beam CT. The important objective is to show how the representation of blood vessels morphology can lead to feature measurement and identification of an abnormal region. In the authors' approach the blood vessels structure is extracted by a graph description of blood vessels centerlines and surfaces representation using curvatures. The measurement of the anatomical information, such as the blood vessel's orientation, cross-sectional area, surface shapes, and abnormal regions volumes, are based on a structure description. In order to alert the doctor's attention to the location of a blood vessel's abnormality, the authors attempt to enhance the difference between malformed and normal shapes using the measured blood vessels characteristics. In this paper, the authors focus on the approach based on surfaces representation and they present examples on cone-beam CT images of a patient's blood vessels.