Image processing in echography and MRI
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Summary
This thesis addresses the first two problems of image processing for three medical imaging applications, implementing restoration with a total variation first order Lagrangian method, and abstraction with clustering and local linear expansion.
- Type
- dissertation
- Published
- 2005-04-01
- Cited by
- 2
- References
- 279
- Access
- Open access
- OpenAlex
- https://openalex.org/W4333560
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:9029395
Keywords
Artificial intelligence, Speckle pattern, Computer vision, Computer science, Cluster analysis
References
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- Line and boundary detection in speckle images
- Multiresolution Flow Visualization
- Automatic detection of cardiac contours on MR images using fuzzy logic and dynamic programming
- Handbook of Medical Imaging—Processing and Analysis
- 3D Flow Visualization Using Texture Advection
- Progressive Livewire for Automatic Contour Extraction
- Fundamentals of Anatomy and Physiology
- Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation
- Visualizing Unsteady Flows by Adaptive Streaklines
- Asymmetric redirection of flow through the heart
- Transient streamlines: texture synthesis for in vivo flow visualisation
- Dynamic contours: real-time active splines
- A Variational Approach for the Segmentation of the Left Ventricle in Cardiac Image Analysis
- Learning Recognition and Segmentation Using the Cresceptron
- Computer-assisted reasoning in cluster analysis
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