a. Register figure “p_17_2.jpg” with respect to image “p_17_1.jpg.” Choose
as many tie points as you need.
b. Use seed growing to outline the bone structures in both images. Start with
a seed in the center of the supposed bone structure.
17.3 Read the image in file “p_17_3.jpg” and display it. This is a combination image
of the brain with a suspected brain tumor imaged by CT, PET, and MRI. Each
row represents one of the respective imaging modalities.*
a. U se seed growing to identify the location of a suspected tumor in all three
imaging techniques.
b. U se Laplacian of Gaussian edge detection methods to find the boundaries
of the tumor in the brain. Compare the results with those of Part “a.”
17.4 Read the image in file “p_17_4.jpg” and display it. This is a PET image of the
kidneys. †
a. Apply seed growing to identify the kidneys.
b. U se Laplacian of Gaussian edge detection methods to find the boundaries
of both kidneys. Compare the results with those of Part “a.”
17.5 Read images “p_17_5a.jpg” and “p_17_5b.jpg” and display them. Image
“p_17_5a.jpg” is an axial view of a whole-body PET image of a person, and
image “p_17_5b.jpg” is a CT image of the same section of the body.*
a. U se image registration techniques to find the outline of the lung in both
pictures. The right lung is indicated by red arrows.
b. Use image registration techniques to find the outline of the heart in both
pictures. The heart is indicated by blue arrows.
c. Use thresholding and registration techniques to determine the outlines of
the chest.
d. P erform seed growing methods to identify the outline of the heart in both
images.
354
Biomedical Signal and Image Processing
* Courtesy of Philips Medical Systems. http://www.medical.philips.com/main/products/pet/
† Courtesy of General Electric Healthcare. GEhealthcare.com
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