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MEDRADSC 2Z03 (10)

Dawn Danko (10)

Chapter 10

School

McMaster UniversityDepartment

Medical Radiation SciencesCourse Code

MEDRADSC 2Z03Professor

Dawn DankoChapter

10This

**preview**shows half of the first page. to view the full**2 pages of the document.**Treatment Planning

Techniques

To estimate the parameters of the coordinate transformation that relates

homologous points in the two studies

To apply the resultant transformation to map structures or features of interest

from one study to another

A. Dataset registration

Measure the degree of mismatch, use standard numberical methods to

determine the transformation parameters that minimize the metric

Two algorithms

1. Surface-based registration

Surfaces of one or more anatomic structures are extracted from the image data

and used for comuting and minimizing the mismatch between the datasets

Common: skull for brain, pelvis for prostate

1. Image-based registration

Grayscale data is used directly to compute a measure of mismatch or similarity

between two datasets

--> much less pre-processing of the data

Mutual information based metric

oA measure of how much redundant information is present between the

pair of datasets

1. Interactive techniques

Numerical approaches

Some form of visual feedback and appropriate widgets to manipulate and

register two datasets

Effective in cases when transformation can be represented by a small number of

degrees of freedom e.g. only rotations, translations, isotropic scling

A. Structure Mapping and Image fusion

Data is integrated or fused with that of another

1. Structure mapping

Produces outlines of structures

1. Construct a 3-D approximation from 2-D outlines

Accomplished by tiling outlines in adj images, capping the top and bottom

outlines to creat a closed surfaces

1. Image mapping and fusion

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