Intensity based nonparametric image registration
Proceedings of the international conference on Multimedia information retrieval
WBIR'10 Proceedings of the 4th international conference on Biomedical image registration
Computers in Biology and Medicine
SIAM Journal on Scientific Computing
Journal of Scientific Computing
Registration of dynamic contrast enhanced MRI with local rigidity constraint
WBIR'12 Proceedings of the 5th international conference on Biomedical Image Registration
Feature based image registration using non-degenerate pixels
Signal Processing
Atlas-Based whole-body PET-CT segmentation using a passive contour distance
MCV'12 Proceedings of the Second international conference on Medical Computer Vision: recognition techniques and applications in medical imaging
A Gauss-Newton approach to joint image registration and intensity correction
Computer Methods and Programs in Biomedicine
| Hi-index | 0.00 |
Whenever images taken at different times, from different viewpoints, and/or by different sensors need to be compared, merged, or integrated, image registration is required. Registration, also known as alignment, fusion, or warping, is the process of transforming data into a common reference frame. This book provides an overview of state-of-the-art registration techniques from theory to practice, plus numerous exercises designed to enhance readers understanding of the principles and mechanisms of the described techniques. It also provides, via a supplementary Web page, free access to FAIR.m, a package that is based on the MATLAB software environment, which enables readers to experiment with the proposed algorithms and explore the presented examples in more depth. Written from an interdisciplinary point of view, this book will appeal to mathematicians who want to learn more about image registration, medical imaging professionals who want to know more about and explore available imaging techniques, and computer scientists and engineers who want to understand the numerical schemes behind the techniques. The book is also appropriate for use as a course text at the advanced graduate level. Contents: FAIR Listings; FAIR Examples; List of Figures; List of Tables; Preface; Chapter 1: Introduction; Chapter 2: FAIR Concepts; Chapter 3: Image Interpolation; Chapter 4: Transforming Images by Parameterized Transformations; Chapter 5: Landmark-Based Registration; Chapter 6: Parametric Image Registration; Chapter 7: Distance Measures; Chapter 8: Regularization; Chapter 9: Nonparametric Image Registration; Chapter 10: Outlook; Bibliography; Symbols, Acronyms, Index.