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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.15 No.2
- 발행연도
- 2015.6
- 수록면
- 102 - 110 (9page)
이용수
초록· 키워드
오류제보하기
The main source of noise in computed tomography (CT) images is a quantum noise, which results from statistical fluctuations of X-ray quanta reaching the detector. This paper proposes a neural network (NN) based hybrid filter for removing quantum noise. The proposed filter consists of bilateral filters (BFs), a single or multiple neural edge enhancer(s) (NEE), and a neural filter (NF) to combine them. The BFs take into account the difference in value from the neighbors, to preserve edges while smoothing. The NEE is used to clearly enhance the desired edges from noisy images. The NF acts like a fusion operator, and attempts to construct an enhanced output image. Several measurements are used to evaluate the image quality, like the root mean square error (RMSE), the improvement in signal to noise ratio (ISNR), the standard deviation ratio (MSR), and the contrast to noise ratio (CNR). Also, the modulation transfer function (MTF) is used as a means of determining how well the edge structure is preserved. In terms of all those measurements and means, the proposed filter shows better performance than the guided filter, and the nonlocal means (NLM) filter. In addition, there is no severe restriction to select the number of inputs for the fusion operator differently from the neuro-fuzzy system. Therefore, without concerning too much about the filter selection for fusion, one could apply the proposed hybrid filter to various images with different modalities, once the corresponding noise characteristics are explored.
목차
Abstract
1. Introduction
2. Materials and Methods
3. Results and discussion
4. Conclusions
References
참고문헌 (20)
참고문헌 신청
[학술지(정기간행물)] - D. H. Trinh / 2012 / An optimal weight method for CT image denoising / Journal of Electronic and Technology 10 : 124 ~ 129
[학술지(정기간행물)] - C. Suess / 2002 / Dose optimization in pediatric CT : Current technology and future innovations / Pediatric Radiology 32 : 729 ~ 734
[학술지(정기간행물)] - A. Borsdorf / 2008 / Wavelet based noise reduction in CT images using correlation analysis / IEEE Trans. on Medical Imaging 27 : 1685 ~ 1703
[학술대회논문] - I. Elbakri / 2003 / Efficient and accurate likelihood for iterative image reconstruction in X-ray computed tomography / Proceedings of the SPIE. Conf. on Medical Imaging(Image Processing) 5032 : 1839 ~ 1850
[학술지(정기간행물)] - J. Fessler / 1997 / Grouped coordinate ascent algorithms for penalized likelihood transmission image reconstruction / IEEE Trans. on Medical Imaging 16 : 166 ~ 175
[학술지(정기간행물)] - C. Suess / 2002 / Dose optimization in pediatric CT : Current technology and future innovations / Pediatric Radiology 32 : 729 ~ 734
[학술지(정기간행물)] - A. Borsdorf / 2008 / Wavelet based noise reduction in CT images using correlation analysis / IEEE Trans. on Medical Imaging 27 : 1685 ~ 1703
[학술대회논문] - I. Elbakri / 2003 / Efficient and accurate likelihood for iterative image reconstruction in X-ray computed tomography / Proceedings of the SPIE. Conf. on Medical Imaging(Image Processing) 5032 : 1839 ~ 1850
[학술지(정기간행물)] - J. Fessler / 1997 / Grouped coordinate ascent algorithms for penalized likelihood transmission image reconstruction / IEEE Trans. on Medical Imaging 16 : 166 ~ 175
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