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Level Set Method in Medical Imaging Segmentation

ISBN: 9781032653068
ISBN: 9781032653068
Διαστάσεις 23 × 15 cm



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Level set methods are numerical techniques which offer remarkably powerful tools for understanding, analyzing, and computing interface motion in a host of settings. When used for medical imaging analysis and segmentation, the function assigns a label to each pixel or voxel and optimality is defined based on desired imaging properties. This often includes a detection step to extract specific objects via segmentation. This allows for the segmentation and analysis problem to be formulated and solved in a principled way based on well-established mathematical theories. Level set method is a great tool for modeling time varying medical images and enhancement of numerical computations.


A Survey on Deformable Models and their Applications to Medical Imaging. Level Set Method for Image Segmentation: A Survey. A Survey for Region-based Level Set Image Segmentation. Deformable Models in Medical Image Analysis. A Fast Level Set Method for Propagating Interfaces. Shape-Specific Adaptations for Level-Set Deformable Model-Based Segmentation. Image Segmentation Using Deformable Models. An Adaptive Level Set Method for Medical Image Segmentation. Level Set Methods and Their Applications in Image Science. Image Segmentation Techniques. A Survey of Digital Image Segmentation Algorithms. State-of-the-Art of Level Set Methods in Segmentation and Registration of Medical Imaging Modalities. Deformable Models in Medical Image Analysis: A Survey. Neighbor-Constrained Segmentation with Level Set 3-D Deformable Models. A Shape Based Approach to the Segmentation of Medical Imagery Using Level Sets. Image Registration via Level Set Motion: Applications to Atlas-Based Segmentation. GIST: An Interactive, GPU-Based Level Set Segmentation Tool for 3D Medical Images. Level Set Based Segmentation using Data-Driven Shape Prior on Feature Histograms. Level Set Based Cerebral Vasculature Segmentation and Diameter Quantification in CT Angiography. A Multiresolution Stochastic Level Set Method for Mumford-Shah Image Segmentation. On the incorporation of Shape Priors into Geometric Active Contours. A Novel NMF Guided Level-Set for DWI Prostate Segmentation. Image Segmentation with a Parametric Deformable Model using Shape and Appearance Priors. Shape Appearance Guided Level Set Deformable Model for Image Segmentation.