Research
Systems & Architecture
Bio & Medical
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Laser Scar Enhancement with before/after comparison in Retinal Images
Laser surgery is a widely used treatment of microaneurysm and hemorrhage in
ophthalmologic clinic. Laser scar is blurry light yellowish spots in retinal
image (see Figure 1). The purpose of laser scar detection is to .....
Figure 1
We are using before after comparison technique to enhance the laser scars.
Images of patients are taken periodically, and two adjacent images are compared
to see if there are laser scars available, and whether the number of laser
changes.
The procedure contains 4 steps:
- Image quality checking
Images quality affect the detection result significantly.
There are three kinds of unqualified images: under exposed, over exposed and
unbalanced exposed (see Figure 2). The
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| Under exposure |
Over exposure |
Unbalanced exposure |
- Blood vessel map detection
Blood vessel map is extracted using our blood vessel detection algorithm in
this journal paper, details can be found here.
- Image registration
Two images need to be registered to perform the comparison. The registration
is based on matching blood vessel bifurcation points. A bifurcation point on
blood vessel map is where two or more blood vessels join. We choose
bifurcation points as the land mark because they are stable in all images of
the same patient and the number of them is small, therefore efficient in
computation. Image registration quality is evaluated with "registration
score". The skeletons of two blood vessel map are taken and registered.
For each pixel of one skeleton in the common area, if there's any pixel on
the other skeleton available in a small neighborhood, we define this pixel
has a "match". The ratio between number of "matched" pixels and number of
all pixels in the common area is called "registration score". If this score
is lower than 50%, the registration is considered to be failed.
- Background extraction, image subtraction and post-processing
Background of each image are extracted by a morphological opening operation
with disk structure element. Let I1 and I2 be green channels of the two
original images. and B1 and B2 be the background extracted. Let Rk=(Ik-Bk)
be the residue image. The difference between two residue image (R2-R1) should be the
brighter parts that appear in the later image and not in the older one,
which is what we want - the brighter laser scar spots.
A post-processing procedure is employed to pick up only laser scars. All
non-round shape objects are removed, and the number of scars are counted.
Experiment Results
Number of laser scars found: 11
More results can be found here
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