Registration

Align 2-D and 3-D medical images using rigid and deformable registration

Use medical image registration functions and the Medical Registration Estimator app to align related pairs of images or volumes. To get started with the app, see Get Started with Medical Registration Estimator. For more information on the types of registration functionality in the toolbox, see Medical Image Registration.

Apps

Medical Registration Estimator	Register 3-D medical image volumes (Since R2024b)
Registration Estimator	Register 2-D grayscale images

Functions

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Automatic Registration

Fast Registration

imregmoment Fast registration of grayscale images or intensity volumes using moment of mass method (Since R2022b)

Optimization-Based Registration

`imregister`	Intensity-based image registration
`imregtform`	Estimate geometric transformation that aligns two 2-D or 3-D images
`imregconfig`	Configurations for intensity-based registration
`MattesMutualInformation`	Mattes mutual information metric configuration
`MeanSquares`	Mean square error metric configuration
`RegularStepGradientDescent`	Regular step gradient descent optimizer configuration
`OnePlusOneEvolutionary`	One-plus-one evolutionary optimizer configuration

Deformable Registration

`imregdeform`	Deformable registration of grayscale images or intensity volumes using total variation method (Since R2022b)
`imregdemons`	Estimate displacement field that aligns two 2-D or 3-D images

Surface Registration

imregicp Surface registration using iterative closest point algorithm (Since R2022b)

Groupwise Registration

imreggroupwise Groupwise deformable registration (Since R2022b)

Correlation-Based Registration

`imregcorr`	Estimate geometric transformation that aligns two 2-D images using cross correlation
`normxcorr2`	Normalized 2-D cross-correlation

Control Point Registration

`fitgeotform2d`	Fit 2-D geometric transformation to control point pairs (Since R2022b)
`fitgeotform3d`	Fit 3-D geometric transformation to control point pairs (Since R2024a)

Apply Transformation

`imwarp`	Apply geometric transformation to image
`resample`	Resample medical image volume in different patient coordinate system (Since R2022b)

Topics

Medical Image Registration
Techniques for alignment of medical images, volumes, and surfaces.
Get Started with Medical Registration Estimator
Interactively register 3-D medical image volumes. (Since R2024b)

Related Information

Image Registration

Featured Examples

New

Rigid Registration Using Medical Registration Estimator App

Compares rigid registration techniques supported by the Medical Registration Estimator to align multimodal CT and MRI volumes with rotation and translation differences.

Since R2024b
Open Live Script

New

Deformable Registration Using Medical Registration Estimator App

Uses a deformable registration technique supported by the Medical Registration Estimator app to estimate the displacement field between two CT scans acquired during inhalation and exhalation for the same patient.

Since R2024b
Open Live Script

New

Apply Initial Transformation in Medical Registration Estimator App

Import an initial transform, derived from control point registration of anatomical landmarks, in the Medical Registration Estimator app.

Since R2024b
Open Live Script

Register Multimodal Medical Image Volumes with Spatial Referencing

Align two medical image volumes using moment-of-mass-based registration.

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Register 3-D Multimodal Medical Image Volumes Using Anatomical Landmarks

Use control point registration to align CT and MRI scans of the head. Control point registration involves selecting the same landmarks, or control points, in two images and calculating the transformation that aligns the control points. The control points can be identifiable anatomical structures or artificial markers that are visible in both images. You can perform control point registration by using the fitgeotform3d function.

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Align Brain MRI and Dynamic PET Data

Align anatomical brain MRI and resting state dynamic PET data.

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Estimate Lung Displacement Field During Breathing Using Deformable Image Registration

Uses deformable image registration to estimate the displacement field between two CT scans acquired during inhalation and exhalation for the same patient.

Open Live Script

New

Segment and Analyze Brain MRI Scan Using AI

Preprocess, label, postprocess, and analyze a brain MRI image using MONAI Label.

Since R2024a
Open Live Script