You can then adjust the orientation, location and scale until the two images are
registered.
A new registered image is created and can be used for fusion and 3D
modeling applications:
Registration By Control Points
Click here to watch a tutorial video clip for
registering two images.
3D-DOCTOR supports multi-modality image registration using user defined control points. Simply start 3D-DOCTOR's
Control Point Editor,
and enter 4 or more control points for the source image according to a target
image.
Select Image/Registration to create the new registered image.
Stretching and reslicing are automatically done in the registration process. The
new image will be of the same orientation and scale and it can be fused with
the target image.
If more
than 4 control points are given, 3D-DOCTOR will use the least square
method to generate an optimal mathematical transformation to map
the image to the new coordinate system.
3D-DOCTOR provides several powerful image fusion functions to
combine multi-modality images together for analysis and
visualization. There are 3 types of image fusion functions: 1)
Color Fusion: uses each image source as a color component (red,
green, and blue) and creates a full color image as the result. 2)
Focus Fusion: eliminates the problems of limited depth of field
by automatically capturing the in-focus regions from a range of
focal planes and combining them into a single fully-focused, high
resolution image. 3) Fusion: combines two images with one of the
mathematical operators: Add, Subtract, OR, AND, XOR, MAX, MIN,
Transparent, etc. 4) Plane Fusion: combines image slices into a single slice
image by using the average, minimum, or maximum method.
1) Color Fusion
The following shows some color image fusion examples using
multi-modality image sources.
A. Image Fusion of CT and MRI Images
The color image window on the left
is the fusion result created from the CT liver image and the MRI liver
image. The CT image is used as the red color component and the MRI
image as the green color component. A third image may also be
used as the blue color component if available.
B. Image Fusion of CT and PET Images
The image on the left is a CT image. The image in the middle is a PET image.
The image on the right is the fused image by using the CT as the background and
the PET image as the blue color.
The image on the left is a CT image. The image in the middle is a PET image.
The image on the right is the fused image by using the CT as the background and
the PET image as the red color.
2) Focus Fusion
Focus Fusion uses a proprietary image processing algorithm
developed by Able Software to eliminate the problems of limited
depth of field by automatically capturing the in-focus regions
from a range of focal planes and combining them into a single
fully-focused, high resolution image. No knowledge with your
image acquisition system is required for this processing.
3) Fusion
Two registered images can be combined to create a fusion
image. This is often used to combine two images acquired
differently but from a single source to enhance the display of
various materials or tissues. For example, a CT image and an MRI
image from the same patient can be combined to show both bones
and fat clearly in a single image. Much more information can be
visualized in the combined image than from the individual ones.
This picture shows how the fusion command is used.
4) Plane Fusion
You can combine multiple image slices into a single slice image using one of
the methods: minimum, average and maximum. The following example shows the
fusion image of a MRI knee image. The window on the right is the fusion image by
taking average of all slices. The window on the left is the original image
slices:
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