Medical Image Registration

23 papers with code • 1 benchmarks • 1 datasets

Image registration, also known as image fusion or image matching, is the process of aligning two or more images based on image appearances. Medical Image Registration seeks to find an optimal spatial transformation that best aligns the underlying anatomical structures. Medical Image Registration is used in many clinical applications such as image guidance, motion tracking, segmentation, dose accumulation, image reconstruction and so on. Medical Image Registration is a broad topic which can be grouped from various perspectives. From input image point of view, registration methods can be divided into unimodal, multimodal, interpatient, intra-patient (e.g. same- or different-day) registration. From deformation model point of view, registration methods can be divided in to rigid, affine and deformable methods. From region of interest (ROI) perspective, registration methods can be grouped according to anatomical sites such as brain, lung registration and so on. From image pair dimension perspective, registration methods can be divided into 3D to 3D, 3D to 2D and 2D to 2D/3D.

Source: Deep Learning in Medical Image Registration: A Review


Greatest papers with code

Learning Conditional Deformable Templates with Convolutional Networks

voxelmorph/voxelmorph NeurIPS 2019

We develop a learning framework for building deformable templates, which play a fundamental role in many image analysis and computational anatomy tasks.

Deformable Medical Image Registration Medical Image Registration

Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces

voxelmorph/voxelmorph 8 Mar 2019

We present a probabilistic generative model and derive an unsupervised learning-based inference algorithm that uses insights from classical registration methods and makes use of recent developments in convolutional neural networks (CNNs).

Constrained Diffeomorphic Image Registration Deformable Medical Image Registration +2

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

voxelmorph/voxelmorph 14 Sep 2018

In contrast to this approach, and building on recent learning-based methods, we formulate registration as a function that maps an input image pair to a deformation field that aligns these images.

Deformable Medical Image Registration Diffeomorphic Medical Image Registration +1

An Unsupervised Learning Model for Deformable Medical Image Registration

voxelmorph/voxelmorph CVPR 2018

We define registration as a parametric function, and optimize its parameters given a set of images from a collection of interest.

Deformable Medical Image Registration Image Registration +1

DeepReg: a deep learning toolkit for medical image registration

DeepRegNet/DeepReg 4 Nov 2020

DeepReg (https://github. com/DeepRegNet/DeepReg) is a community-supported open-source toolkit for research and education in medical image registration using deep learning.

Image Registration Medical Image Registration

AirLab: Autograd Image Registration Laboratory

airlab-unibas/airlab 26 Jun 2018

With the "Autograd Image Registration Laboratory" (AIRLab), we introduce an open laboratory for image registration tasks, where the analytic gradients of the objective function are computed automatically and the device where the computations are performed, on a CPU or a GPU, is transparent.

Image Registration Medical Image Registration

Recursive Cascaded Networks for Unsupervised Medical Image Registration

microsoft/Recursive-Cascaded-Networks ICCV 2019

We present recursive cascaded networks, a general architecture that enables learning deep cascades, for deformable image registration.

Image Registration Medical Image Registration

Networks for Joint Affine and Non-parametric Image Registration

uncbiag/registration CVPR 2019

In contrast to existing approaches, our framework combines two registration methods: an affine registration and a vector momentum-parameterized stationary velocity field (vSVF) model.

Image Registration Medical Image Registration