Riemannian Geometric Statistics in Medical Image Analysis

Riemannian Geometric Statistics in Medical Image Analysis provides a comprehensive foundation on the topic that is followed by state-of-the-art methods. Content includes Riemannian geometric computing methods for statistics on manifolds that emphasize concepts rather than proofs, applications of statistics on manifolds and shape spaces in medical image computing, and dieomorphic deformations and their applications. The book is suitable for researchers, graduate students, electronic engineers and computer scientists as the methods described also apply to signal processing (radar and brain computer interaction), computer vision (object and face recognition), and other domains where statistics of geometric features appear.

• Provides a complete reference, covering both the foundations and state-of-the-art methods
• Edited and authored by leading researchers
• Contains examples, applications and algorithms
• Gives an overview of current research challenges and future applications