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Medical Image Registration

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

Papers

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Showing 101–150 of 198 papers

TitleStatusHype
XMorpher: Full Transformer for Deformable Medical Image Registration via Cross AttentionCode1
GradICON: Approximate Diffeomorphisms via Gradient Inverse ConsistencyCode1
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CTCode1
Medical Image Registration via Neural Fields—0
Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image TranslationCode1
Symmetric Transformer-based Network for Unsupervised Image RegistrationCode1
Deep Learning for Medical Image Registration: A Comprehensive Review—0
Affine Medical Image Registration with Coarse-to-Fine Vision TransformerCode1
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective FunctionsCode1
PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation—0
MICDIR: Multi-scale Inverse-consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph LatentCode0
Region Specific Optimization (RSO)-based Deep Interactive Registration—0
WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network—0
Coordinate Translator for Learning Deformable Medical Image RegistrationCode1
A Transformer-based Network for Deformable Medical Image Registration—0
Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology ImagesCode1
Transformers in Medical Imaging: A SurveyCode3
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image RegistrationCode1
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients—0
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model—0
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning—0
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021Code1
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography ImagesCode1
Regularized directional representations for medical image registration—0
TransMorph: Transformer for unsupervised medical image registrationCode1
A unifying framework for n-dimensional quasi-conformal mappings—0
SAME: Deformable Image Registration based on Self-supervised Anatomical EmbeddingsCode1
A Deep Discontinuity-Preserving Image Registration NetworkCode0
Multi-scale Neural ODEs for 3D Medical Image Registration—0
Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT ScansCode1
Generative Adversarial Registration for Improved Conditional Deformable TemplatesCode1
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer—0
A Meta-Learning Approach for Medical Image Registration—0
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image RegistrationCode1
Cascaded Feature Warping Network for Unsupervised Medical Image Registration—0
Enhancing Medical Image Registration via Appearance Adjustment NetworksCode1
Unsupervised Medical Image Alignment with Curriculum Learning—0
FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical FlowCode1
Generation of annotated multimodal ground truth datasets for abdominal medical image registration—0
Long-range medical image registration through generalized mutual information (GMI): toward a fully automatic volumetric alignment—0
Registration of serial sections: An evaluation method based on distortions of the ground truthsCode0
DeepReg: a deep learning toolkit for medical image registrationCode1
Uncertainty driven probabilistic voxel selection for image registration—0
Multimodal Medical Image registration using Discrete Wavelet Transform and Gaussian Pyramids—0
Introduction to Medical Image Registration with DeepReg, Between Old and New—0
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images—0
Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes—0
Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings—0
Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation—0
DeepFLASH: An Efficient Network for Learning-based Medical Image RegistrationCode1
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All datasetsIXIOASISOASIS+ADIBE+ADHD200+MCIC+PPMI+HABS+HarvardGSPSR-Reg

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LL_NetDSC0.77—Unverified
2OFG + TransMorphDSC0.76—Unverified
3TransMorphDSC0.74—Unverified
4OFG + ViT-V-NetDSC0.74—Unverified
5OFG + VoxelMorphDSC0.74—Unverified
6EfficientMorphDSC0.73—Unverified
7ViT-V-NetDSC0.72—Unverified
8VoxelMorphDSC0.71—Unverified
#ModelMetricClaimedVerifiedStatus
1EfficientMorphval dsc86.7—Unverified
2Fourier-Netval dsc84.7—Unverified
3TransMorphDSC0.82—Unverified
4OFG + TransMorphDSC0.82—Unverified
5OFG + ViT-V-NetDSC0.81—Unverified
6OFG + VoxelMorphDSC0.79—Unverified
7ViT-V-NetDSC0.79—Unverified
8VoxelMorphDSC0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelMorphDice Score76.3—Unverified
#ModelMetricClaimedVerifiedStatus
1MambaMorphDice (Average)82.71—Unverified