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Deblurring Computed Tomography Medical Images Using a Novel Amended Landweber Algorithm

Al-Ameen, Zohair and Sulong, Ghazali (2015) Deblurring Computed Tomography Medical Images Using a Novel Amended Landweber Algorithm. Interdiscipliry Sciences-Computational Life Sciences, 7 (3). pp. 319-325. ISSN 1913-1844

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Official URL: http://dx.doi.org/10.1007/s12539-015-0022-1


In computed tomography (CT), blurring occurs due to different hardware or software errors and hides certain medical details that are present in an image. Image blur is difficult to avoid in many circumstances and can frequently ruin an image. For this, many methods have been developed to reduce the blurring artifact from CT images. The problems with these methods are the high implementation time, noise amplification and boundary artifacts. Hence, this article presents an amended version of the iterative Landweber algorithm to attain artifact-free boundaries and less noise amplification in a faster application time. In this study, both synthetic and real blurred CT images are used to validate the proposed method properly. Similarly, the quality of the processed synthetic images is measured using the feature similarity index, structural similarity and visual information fidelity in pixel domain metrics. Finally, the results obtained from intensive experiments and performance evaluations show the efficiency of the proposed algorithm, which has potential as a new approach in medical image processing.

Item Type:Article
Uncontrolled Keywords:amended landweber algorithm, medical image processing, computed tomography (CT), image deblurring
Subjects:A General Works
ID Code:58211
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 12:07
Last Modified:30 Apr 2017 08:19

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