Metal Artifact Removal on CT Scanned Image for Dentistry
by Using Multi-layer Entropic Thresholding and Label Filtering Technique
Kitti Koonsanit, Chakrit Watcharopas and Thitiporn Chanwimaluang
1Department of Computer Science, Faculty of Science, Kasetsart University, Bangkok, Thailand
Abstarct: Metal artifact is a significant problem in a computed tomography (CT) image. The consequence of metal artifacts is degradation in image quality. A number of papers and articles have been published regarding the subjects. However, none of the approach can be employed to incorporate in commercial CT scanners. Besides, all of the methods, to the best of our knowledge, are performed in the reconstruction process which means the CT images are created at the same time as the metal artifact removal process. In this research, we assume that the CT images with metal artifacts are given and we have no control over the reconstruction approach. Hence, we propose a new method to automatically remove metal artifacts in dental CT images in the post-processing step. The proposed technique is composed of two main steps. First, the local entropy thresholding scheme is employed to automatically segment out the dental region in a CT image. Then, the length filtering technique is used to remove isolated pixels, which are metal artifacts, by using the concept of connected pixels labeling.
Publication paper
K.Koonsanit, T. Chanwimaluang, C.Watcharopas, “Artifact removal on CT scanner image for dentistry,” The International Joint Conference on Computer Science and Software Engineering : JCSSE 2008, May 8-9, 2008 ,Thailand
K.Koonsanit, T. Chanwimaluang, C.Watcharopas, “Automatic segmentation of dental CT using entropic threshold,” 1st International Bone and Dental Technology Symposium 2007 Proceedings, November 12-13, 2007, Thailand
K. Koonsanit, T. Chanwimaluang, D. Gansawat, S. Sotthivirat, W. Narkbuakaew, W. Areeprayolkij, P. Yampri and W. Sinthupinyo, “Metal Artifact Removal on dental CT Scanned Image by Using Multi-layer Entropic Thresholding and Label Filtering Technique for 3-D Visualization of CT images,“ Proc. of International Conference on Biomedical Engineering : ICBME 2008.IFMBE Proceedings, 13th International Conference on Biomedical Engineering , December, Singapore