| Paper Details: | Downloads: 607 |
| Serial Number: | P1151032181
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| Title: | An automated System for Liver CT Enhancement and Segmentation
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| Authors: | M. Usman Akram and Aasia Khanum and Khalid Iqbal
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| Abstract: | As a medical imaging technique,computed tomography(
CT)is quite useful for doctors to analyze
the pathological changes of the biological organs.
Inordertoreducedeaths,the diseases must be detected
accurately in the early stage. The main problem
of liver segmentation from CT images is related
to low contrast between liver and near by organs intensities.
Liver sometimes presents in dierent dimensions
and makes the detection and segmentation even
more di cult. In this paper we propose a method for
automated liver segmentation from CT images that
is invariant in terms of size, shape and intensity values.
The system consists of three stages. In the rst
stage of the computerized system, the CT liver image
is acquired and preprocessing is done to remove the
noise and to enhance the image. In the second stage,
liver region is segmented from the liver CT image. In
the third stage, post processing enhancement is done
on the segmented liver region to enhance the contrast
of liver region. Experimental results show that our
propose technique segments the liver region with accuracy.
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| Keywords: | Liver CT, Automatic Segmentation,
Postprocessing, enhancement
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| Journal/Conference: | International Journal of Graphics, Vision and Image Processing
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| Volume: | 10
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| Issue: | 4
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| Submission Date: | 7/31/2010 12:00:00 AM
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| Review Date: | 9/20/2010 12:00:00 AM
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| Publishing Date: | 10/21/2010 12:00:00 AM
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| Article Downloads: | 607
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