Level Set Method in Medical Imaging Segmentation

Ayman El-Baz, Jasjit S. Suri, Ayman El-Baz, Jasjit S. Suri

• Publisher: CRC Press
• Year: 2019
• eBook ISBN: 9781351373029
• Topic: Medicine
• Subtopic: Biotechnology in Medicine

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.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Dedication
• Contents
• Preface
• Biographies
• Acknowledgements
• Contributors
• 1. Tomography Reconstructions With Stochastic Level-Set Methods
• 2. Application of 3D Level Set Based Optimization in Microwave Breast Imaging for Cancer Detection
• 3. A Modified Global and Elastic ICP Shape Registration for Medical Imaging Applications
• 4. Robust Nuclei Segmentation Using Statistical Level Set Method with Topology Preserving Constraint
• 5. Level Set Methods in Segmentation of SDOCT Retinal Images
• 6. Numerical Techniques for Level Set Models: an Image Segmentation Perspective
• 7. Level Set Methods for Cardiac Segmentation in MSCT Images
• 8. Deformable Models and Image Segmentation
• 9. Cardiac Image Segmentation Using Generalized Polynomial Chaos Expansion and Level Set Function
• 10. Medical Image Segmentation Approach That Uses Level Sets with Statistical Shape Priors
• 11. Level Set Method in Medical Imaging Segmentation
• 12. Image Segmentation With B-Spline Level Set
• Index