Application of curvelet transform for denoising of CT images

被引：4

作者：

Lawicki, Tomasz ^{[1
]}

Zhirnova, Oxana ^{[2
]}

机构：

[1] Lublin Univ Technol, Fac Elect Engn & Comp Sci, Inst Elect & Informat Technol, 38A Nadbystrzycka Str, PL-20618 Lublin, Poland

[2] Kazakh Natl Tech Univ KI Satpaev, Alma Ata, Kazakhstan

来源：

PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2015 | 2015年 / 9662卷

关键词：

CT images; noise; curvelet transform; denoising;

D O I：

10.1117/12.2205483

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The paper presents a method of noise reduction in CT images by the curvelet transform. Noise affects the ability to visualize pathologic qualities and the living tissues structure in CT. Noise in CT images depends on the amount of discrete x-ray photons reaching the detector. In the CT images, noise is responsible for visibility reduction the low contrast areas and objects. Noisy picture may not be properly interpreted by a physician, especially for the case of detection of pathological changes in tissues. The tests were performed with the Shepp-Logan test image with additive Gaussian noise.

引用

页数：6

共 20 条

[1] An Efficient Algorithm for Denoising MR and CT Images Using Digital Curve let Transform [J].

Ali, S. Hyder ;

Sukanesh, R. .

SOFTWARE TOOLS AND ALGORITHMS FOR BIOLOGICAL SYSTEMS, 2011, 696 :471-480

[2]

[Anonymous], 2009, Computed Tomography: Principles, Design Artifacts and Recent Advances

[3] Analysis of effect of cycle spinning on wavelet- and curvelet-based denoising methods on brain CT images [J].

Bhadauria, H. S. ;

Dewal, M. L. .

JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2014, 37 (07) :939-945

[4] Medical image denoising using adaptive fusion of curvelet transform and total variation [J].

Bhadauria, H. S. ;

Dewal, M. L. .

COMPUTERS & ELECTRICAL ENGINEERING, 2013, 39 (05) :1451-1460

[5]

Candes E., 2005, FAST DISCRETE CURVEL

[6] Continuous Curvelet Transform -: I.: Resolution of the wavefront set [J].

Candès, EJ ;

Donoho, DL .

APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 2005, 19 (02) :162-197

[7] Continuous Curvelet Transform -: II.: Discretization and frames [J].

Candès, EJ ;

Donoho, DL .

APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 2005, 19 (02) :198-222

[8] Fast discrete curvelet transforms [J].

Candes, Emmanuel ;

Demanet, Laurent ;

Donoho, David ;

Ying, Lexing .

MULTISCALE MODELING & SIMULATION, 2006, 5 (03) :861-899

[9] Improving low-dose abdominal CT images by Weighted Intensity Averaging over Large-scale Neighborhoods [J].

Chen, Yang ;

Chen, Wufan ;

Yin, Xindao ;

Ye, Xianghua ;

Bao, Xudong ;

Luo, Limin ;

Feng, Qianjing ;

Li, Yinsheng ;

Yu, Xiaoe .

EUROPEAN JOURNAL OF RADIOLOGY, 2011, 80 (02) :E42-E49

[10] The Curvelet Transform Application to the Analysis of Data Received from GPR Technique [J].

Cieszczyk, S. ;

Lawicki, T. ;

Miaskowski, A. .

ELEKTRONIKA IR ELEKTROTECHNIKA, 2013, 19 (06) :99-102

← 1 2 →