Laplace-Based Interpolation Method in Reduction of Metal Artifact in Computed Tomography Imaging
https://doi.org/10.47836/mjmhs.18.6.32
- Author:
Noor Diyana Osman
1
;
Nurul Fathin Mohamad Sobri
1
;
Anusha Achuthan
1
,
2
;
Mohd Norsyafi Hassan
3
;
Muhamad Zabidi Ahmad
1
;
Mohd Zahri Abdul Aziz
1
Author Information
1. Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, 13200, Penang, Malaysia&
2. School of Computer Science, Universiti Sains Malaysia, Minden, 11800, Penang, Malaysia
3. Department of Diagnostic Imaging, Hospital Limbang, Jalan Pandaruan, Limbang, 98700, Sarawak, Malaysia
- Publication Type:Journal Article
- Keywords:
Computed tomography, Image segmentation, Metal artifact reduction, Sinogram interpolation
- From:Malaysian Journal of Medicine and Health Sciences
2022;18(No.6):243-250
- CountryMalaysia
- Language:English
-
Abstract:
Introduction: Metal artifacts can degrade the image quality of computed tomography (CT) images which lead to errors in diagnosis. This study aims to evaluate the performance of Laplace interpolation (LI) method for metal artifacts
reduction (MAR) in CT images in comparison with cubic spline (CS) interpolation. Methods: In this study, the proposed MAR algorithm was developed using MATLAB platform. Firstly, the virtual sinogram was acquired from CT image using Radon transform function. Then, dual-adaptive thresholding detected and segmented the metal part within
the CT sinogram. Performance of the two interpolation methods to replace the missing part of segmented sinogram
were evaluated. The interpolated sinogram was reconstructed, prior to image fusion to obtain the final corrected
image. The qualitative and quantitative evaluations were performed on the corrected CT images (both phantom and
clinical images) to evaluate the effectiveness of the proposed MAR technique. Results: From the findings, LI method
had successfully replaced the missing data on both simple and complex thresholded sinogram as compared to CS
method (p-value = 0.17). The artifact index was significantly reduced by LI method (p-value = 0.02). For qualitative
analysis, the mean scores by radiologists for LI-corrected images were higher than original image and CS-corrected
images. Conclusion: In conclusion, LI method for MAR produced better results as compared to CS interpolation
method, as it worked more effective by successfully interpolated all the missing data within sinogram in most of the
CT images.
- Full text:11.2022my1382.pdf
