DeepAI AI Chat
Log In Sign Up

Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach

03/31/2017
by   Xiao Yang, et al.
0

This paper introduces Quicksilver, a fast deformable image registration method. Quicksilver registration for image-pairs works by patch-wise prediction of a deformation model based directly on image appearance. A deep encoder-decoder network is used as the prediction model. While the prediction strategy is general, we focus on predictions for the Large Deformation Diffeomorphic Metric Mapping (LDDMM) model. Specifically, we predict the momentum-parameterization of LDDMM, which facilitates a patch-wise prediction strategy while maintaining the theoretical properties of LDDMM, such as guaranteed diffeomorphic mappings for sufficiently strong regularization. We also provide a probabilistic version of our prediction network which can be sampled during the testing time to calculate uncertainties in the predicted deformations. Finally, we introduce a new correction network which greatly increases the prediction accuracy of an already existing prediction network. We show experimental results for uni-modal atlas-to-image as well as uni- / multi- modal image-to-image registrations. These experiments demonstrate that our method accurately predicts registrations obtained by numerical optimization, is very fast, achieves state-of-the-art registration results on four standard validation datasets, and can jointly learn an image similarity measure. Quicksilver is freely available as an open-source software.

READ FULL TEXT

page 7

page 12

page 16

page 20

page 21

page 22

07/08/2016

Fast Predictive Image Registration

We present a method to predict image deformations based on patch-wise im...
03/31/2017

Fast Predictive Multimodal Image Registration

We introduce a deep encoder-decoder architecture for image deformation p...
03/22/2019

Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations

We propose a fully unsupervised multi-modal deformable image registratio...
04/30/2020

A Multi-scale Optimization Learning Framework for Diffeomorphic Deformable Registration

Conventional deformable registration methods aim at solving a specifical...
09/14/2021

Diffeomorphic Image Registration with An Optimal Control Relaxation and Its Implementation

Image registration has played an important role in image processing prob...
10/31/2021

IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration

Organ shape reconstruction based on a single-projection image during tre...
04/04/2018

Semi-Supervised Deep Metrics for Image Registration

Deep metrics have been shown effective as similarity measures in multi-m...

Code Repositories

quicksilver

Predictive Image Registration


view repo