A guided tour of computer vision
A guided tour of computer vision
Physics-based modeling of nonrigid objects for vision and graphics
Physics-based modeling of nonrigid objects for vision and graphics
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of Cerebral Vessels and Aneurysms from MR Angiography Data
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Muliscale Vessel Enhancement Filtering
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Statistical 3D Vessel Segmentation Using a Rician Distribution
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
An Adaptive Minimal Path Generation Technique for Vessel Tracking in CTA/CE-MRA Volume Images
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Multiscale detection of curvilinear structures in 2-D and 3-D image data
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Intensity Ridge and Widths for Tubular Object Segmentation and Description
MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
Vessel Detection by Mean Shift-Based Ray Propagation
MMBIA '01 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA'01)
Automatic Segmentation of the Left Ventricle in Cardiac MR and CT Images
International Journal of Computer Vision
Biomechanically-Constrained 4D Estimation of Myocardial Motion
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Graph cut segmentation with a statistical shape model in cardiac MRI
Computer Vision and Image Understanding
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At Siemens Corporate Research we have created a set of tools for the analysis of MR and CT cardiovascular images in the applications Argus, Vessel View, and Proteus. Argus is designed to assess cardiovascular function by reporting measures of morphology and tissue health using a 2-D approach. Vessel View, a 3-D application, is capable of quantifying vascular integrity and provides tools for segmenting vessels. Lastly, Proteus has functionality for registering 3-D cardiac data sets (e.g., MR and CT). Taken together, these applications allow for a comprehensive analysis of MR and CT cardiovascular studies. Throughout this paper we will illustrate the capabilities of our tools via their application to an actual clinical case. Our contribution lies in combining several computer vision technologies and applying them to practical, real world problems.