Advances in Computational Vision and Medical Image Processing: Methods and Applications

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Joao Tavares, Renato Natal Jorge
Springer Science & Business Media, Dec 21, 2008 - Computers - 294 pages
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Computational methodologies of signal processing and imaging analysis, namely considering 2D and 3D images, are commonly used in different applications of the human society. For example, Computational Vision systems are progressively used for surveillance tasks, traf?c analysis, recognition process, inspection p- poses, human-machine interfaces, 3D vision and deformation analysis. One of the main characteristics of the Computational Vision domain is its int- multidisciplinary. In fact, in this domain, methodologies of several more fundam- tal sciences, such as Informatics, Mathematics, Statistics, Psychology, Mechanics and Physics are usually used. Besides this inter-multidisciplinary characteristic, one of the main reasons that contributes for the continually effort done in this domain of the human knowledge is the number of applications in the medical area. For instance, it is possible to consider the use of statistical or physical procedures on medical images in order to model the represented structures. This modeling can have different goals, for example: shape reconstruction, segmentation, registration, behavior interpretation and simulation, motion and deformation analysis, virtual reality, computer-assisted therapy or tissue characterization. The main objective of the ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing (VIPimage) is to promote a comprehensive forum for discussion on the recent advances in the related ?elds trying to id- tify widespread areas of potential collaboration between researchers of different sciences.
 

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Contents

Modeling Cardiovascular Anatomy from PatientSpecific Imaging
1
Geodesic Methods for Shape and Surface Processing
29
Robust Shape Estimation with Deformable Models
57
Digital Geometry and Its Applications to Medical Imaging
77
Multimodality in Brain Imaging Methodologic Aspects and Applications
93
Research Steps Towards Human Sequence Evaluation
105
3D Object Reconstruction from Uncalibrated Images Using an OfftheShelf Camera
116
EdgeImages Using a UninormBased Fuzzy Mathematical Morphology Opening and Closing
137
10 A Robust Eye Tracking Procedure for Medical and Industrial Applications 185
185
3D Reconstruction of the Retinal Arterial Tree Using SubjectSpecific Fundus Images
186
Microscale Flow Dynamics of Red Blood Cells in Microchannels An Experimental and Numerical Analysis
203
Efficiency of Spherical Filters on Detection of Isotropic Defects in Textured Backgrounds
221
Spontaneous Intracerebral Hemorrhage Image Analysis Methods A Survey
235
FluidStructure Interaction Applied to Blood Flow Simulations
252
Validity of Paranasal CT Image Reconstruction for Finite Element Models in Otorhinolaryngology
273
Index
287

A Tissue Relevance and Meshing Method for Computing PatientSpecific Anatomical Models in Endoscopic Sinus Surgery Simulation
159
A Robust Eye Tracking Procedure for Medical and Industrial Applications
173

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