Browse > Article
http://dx.doi.org/10.7742/jksr.2018.12.6.707

Application of Total Variation Optimization for Reduction of Head CT Dose  

Choi, Seokyoon (Department of Radiological Science, Catholic University of Pusan)
Publication Information
Journal of the Korean Society of Radiology / v.12, no.6, 2018 , pp. 707-712 More about this Journal
Abstract
The number of CT examinations is increasing, and radiation exposure is also increasing. repeated tests can affect the lens and thyroid. In hospitals, there is a tendency to lack interest in major long-term radiation exposure compared to the interest in increasing image information and image quality with head CT. In this study, we analyzed the improvement of image quality by proposed method to the noisy CT images. The proposed denoising method total variance optimization only for the impulsive noise candidate pixels. Experimental results show that edge information is well preserved and impulse noise can be effectively removed. and worked very well for the images according to tube voltage and rotation time. applied to the clinical setting, it can be used as the lowest exposure condition without worrying about the image quality and it will be helpful for the CT application.
Keywords
Brain CT; Total Variation; Noise; Dose;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 S Choi, "Dose Reduction Method in Mammogram System Using Noise reduction Algorithm Based on Total Variation, Patent(Korea): 10-2012-0158747, 2012.
2 I. lee, "Impulse Noise Removal Using Noise Detector and Total Variation Optimization," The Journal of the Korea Contents Association, Vol. 6, No. 4, pp. 11-18. 2006.
3 H. J. Kim, J. H. Cho, C. S. Park, "evaluation of image quality in low tube voltage chest CT scan," Jouranl of radiation protection, Vol. 35, No. 4, pp. 165-141, 2010.
4 GangHwan Kim, KiBaek Lee, JeongHoon Kim, "The Study on Image quality and dose when using IRIS(Iterative Reconstruction in Image Space) and ASIR(Adaptive Statistical iterative reconstruction)," Journal of Korean Society of Computed Tomographic Technology, Vol. 13, No. 1, pp. 29-37, 2011.
5 WonJeong Lee, BongSeon Ahn, YoungSun Park, "Radiation Dose and Image Quality of Low-dose Protocol in Chest CT: Comparison of Standard-dose Protocol," Journal of Radiation Protection, Vol. 37, No. 2, pp. 84-89, 2012.   DOI
6 S. Choi, "Denoising of Digital mammography images using Wavelet Transform," Journal of the Korean society of Radiology, Vol 7, No. 3, 181-189, 2013.   DOI
7 M. Y. Kim, H. S. Kim, "The Evaluation of Radiation Dose by Exposure Method in Digital Magnification Mammography," JRST, Vol. 35, No. 4, pp. 293-298, 2012.
8 S. Obenauer, K. P. Hermann and E Grabbe, "Dose reduction in full-field digital mammography: an anthropomorphic breast phantom study," Br. J. Radiol, Vol. 76, No. 907, pp. 478-482, 2003.   DOI
9 S. Choi, "Noise Reduction on Low tube voltage CT Images," Journal of the Korean society of Radiology, Vol. 11, No. 1, pp. 63-68, 2017.   DOI