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Development of a New Metal Artifact Reduction Algorithm by Using an Edge Preserving Method for CBCT Imaging

Title
Development of a New Metal Artifact Reduction Algorithm by Using an Edge Preserving Method for CBCT Imaging
Authors
Kim, JuhyeNam, HaewonLee, Rena
Ewha Authors
이레나
SCOPUS Author ID
이레나scopus
Issue Date
2015
Journal Title
JOURNAL OF THE KOREAN PHYSICAL SOCIETY
ISSN
0374-4884JCR Link1976-8524JCR Link
Citation
vol. 67, no. 1, pp. 180 - 188
Keywords
MAR algorithmMetal artifact reductionImage reconstruction
Publisher
KOREAN PHYSICAL SOC
Indexed
SCI; SCIE; SCOPUS; KCI WOS scopus
Abstract
CT (computed tomography) images, metal materials such as tooth supplements or surgical clips can cause metal artifact and degrade image quality. In severe cases, this may lead to misdiagnosis. In this research, we developed a new MAR (metal artifact reduction) algorithm by using an edge preserving filter and the MATLAB program (Mathworks, version R2012a). The proposed algorithm consists of 6 steps: image reconstruction from projection data, metal segmentation, forward projection, interpolation, applied edge preserving smoothing filter, and new image reconstruction. For an evaluation of the proposed algorithm, we obtained both numerical simulation data and data for a Rando phantom. In the numerical simulation data, four metal regions were added into the Shepp Logan phantom for metal artifacts. The projection data of the metal-inserted Rando phantom were obtained by using a prototype CBCT scanner manufactured by medical engineering and medical physics (MEMP) laboratory research group in medical science at Ewha Womans University. After these had been adopted the proposed algorithm was performed, and the result were compared with the original image (with metal artifact without correction) and with a corrected image based on linear interpolation. Both visual and quantitative evaluations were done. Compared with the original image with metal artifacts and with the image corrected by using linear interpolation, both the numerical and the experimental phantom data demonstrated that the proposed algorithm reduced the metal artifact. In conclusion, the evaluation in this research showed that the proposed algorithm outperformed the interpolation based MAR algorithm. If an optimization and a stability evaluation of the proposed algorithm can be performed, the developed algorithm is expected to be an effective tool for eliminating metal artifacts even in commercial CT systems.
DOI
10.3938/jkps.67.180
Appears in Collections:
의학전문대학원 > 의학과 > Journal papers
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