Image Registration Flashcards
What is image registration?
The process of transforming different sets of data into one coordinate system
What does image registration involve?
Estimating a smooth, continuous mapping between the points in one image and those in another
What can be determined from The parameters that encode the mapping?
The relative shapes of the images
What is the objective of image registration?
Determine the single “best” set of values for these parameters
What do many registration approaches use?
Small deformation model
What are the two broad categories of parameterisation?
- The small deformation framework does not necessilary preserve topology - although if the deformations are relatively small, then it may still be preserved
- The largest-deformation framework generates deformations that have a number of elegant mathematical properties such as enforcing the preservation of topology
What is the aim of image registration?
Estimate optimal geometric mapping between different images
Transform images so that they match in terms of:
- orientation (position)
- shape (anatomy)
Why is image registration necessary?
- Time series: motion correction
- different images are acquired at different time points
- motion: breathing, wiggle - Longitudinal:
- disease progression - in neurodegenerative diseases - look at inflammation and atrophy
- developmental changes
- plasticity changes
- clinical trials endpoints - Multi-modal
- diagnosis
- surgical planning - Template space
- group analyses
- replication
- atlas-based fusion
What is the basics of image transformation?
- When you get an image, read it into the matrix
- Have 8 by 8 matrix
- Each matrix/pixel in the matrix has a value
- white is 0
- black is 1 - Brain images are not binary, but intensity is a gradient
- Each value has an index- coordinates of the value of the matrix
What is translation?
Translations are movements in the x and y direction
Move forward, back, left right up and down
For rotation the origin is the same
For translation you shift the origin
B value is the transformation - you move by 2 points in the y direction
What is affine transformation?
It is a function mapping an affine space onto itself that preserves the dimension of any affine is spaces and also preserved the ratio of the lengths of parallel line segments
What are examples of types of transformation?
- Rigid: 6 DoF
- rotations (roll, pitch, yaw)
- translations (x,y,z) - Affine: 12 DoF
- 6 rigid
- scaling (width,height, depth)
- shearing (x,y,z)
What does affine transformation not necessarily preserve?
Angles between lines or distances between points, though it does preserve ratios of distances between points lying on a straight line
What is affine transformation?
It is the matrix you apply to an image in order to be able to transform it
The information that the matrix includes is the rotation and translation
What is the differences between a rigid and affine transformation?
- Rigid transformation is only 6 degrees of freedom - 3 rotations and 3 translations
- Affine transformation has 12 degrees of freedom - you have scaling and shearing