Riemannian Geometric Statistics in Medical Image Analysis /

Riemannian Geometric Statistics in Medical Image Analysis /

Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometr...

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Bibliographic Details
Main Authors: Pennec, Xavier, editor 649121, Sommer, Stefan, editor 649122, Fletcher, Tom, editor 649123, ScienceDirect (Online service) 7722
Format: software, multimedia
Language:eng
Published: San Diego : Academic Press, 2020
Subjects:
Diagnostic imaging
Online Access:https://www.sciencedirect.com/book/9780128147252
Description
Summary:Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a presentation of state-of-the-art methods.

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