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Image Texture Descriptors to Quantify Bilateral Filter on Low Dose Computerized Tomography
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- 발행기관
- 보안공학연구지원센터(IJSIP) 바로가기
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- 간행물
- International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
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- 통권
- Vol.5 No.3 (2012.09)바로가기
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- 페이지
- pp.123-136
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A208833
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Reducing the Radiation Dose in Multi Slice Computerized Tomography MSCT/CT is a significant concern. The Non-Linear Bilateral Filter BF was proved to have the property of de-noising digital images without jeopardizing the fine structures. This paper tests the BF performance on low dose CT by using Image Texture Metrics which have not been reported in literature. Set of CT images of dedicated CT phantom were acquired at four different radiation doses by means of minimizing the X-Ray Tube Current. As radiation dose is lowered, the noise will unavoidably increase degrading the diagnostic value of the CT image. The BF was applied to achieve image space noise removal. The value of each BF parameter was changed set of times. The quantitative assessment of the amount of noise reduction was done using eight metrics based on image texture descriptors that have not been tried before. Particularly, we used three histogram moments (Variance, Skewness, Kurtosis) and five co-occurrence matrix descriptors (Correlation, Contrast, Uniformity, Homogeneity, Entropy). The results showed that these descriptors are reliable metrics to assess BF performance. Each image descriptor value -after applying BF on low dose CT images- is enhanced toward the full dose CT image. Therefore, these metrics have provided additional proofs about the capability of BF toward enhancing the diagnostic value of the low dose MSCT. We concluded that: 1-) Texture descriptors are reliable measures similar to other metrics that are commonly used in literature, and 2-) BF can contribute to reduce X-Ray dose in routine CT. Also, the results have leaded to propose the effective procedure to employ BF on CT.
목차
Abstract
1. Introduction
2. Theory
2.1. Bilateral Filter
2.2. Digital Image Texture Descriptors
3. Materials
4. Method
5. Results
5.1. Co-occurrence Matrix Descriptors
5.2. Histogram Moments
6. Discussion
7. Conclusions
References
키워드
Bilateral Filter Image Texture Descriptors Histogram Moments Co-occurrence Matrix Descriptors MSCT/CT Radiation Dose Reduction저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Signal Processing, Image Processing and Pattern Recognition
- 간기
- 격월간
- pISSN
- 2005-4254
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.5 No.3
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