A new limited-angle CT reconstruction algorithm based on the local anisotropic total variation restoration of continuity

被引:7
作者
Xiao, Yu [1 ]
Zhong, Wang [1 ]
Li, Yongcun [2 ]
Hu, Xiaofang [1 ]
Xu, Feng [1 ]
机构
[1] Univ Sci & Technol China, Chinese Acad Sci, Key Lab Mech Behav & Design Mat, 96 JinZhai Rd, Hefei 230027, Peoples R China
[2] Taiyuan Univ Technol, Coll Mech, Shanxi Key Lab Mat Strength & Struct Impact, 79 Yingzexi Dajie, Taiyuan 030024, Peoples R China
来源
JOURNAL OF INSTRUMENTATION | 2022年 / 17卷 / 12期
基金
中国国家自然科学基金;
关键词
Computerized Tomography (CT) and Computed Radiography (CR); Image reconstruc-tion in medical imaging; Medical-image reconstruction methods and algorithms; computer-aided diagnosis; IMAGE-RECONSTRUCTION; COMPUTED-TOMOGRAPHY;
D O I
10.1088/1748-0221/17/12/P12018
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
A new limited-angle computed tomography(CT) reconstruction algorithm based on local detail information restoration in the CT image projection domain was proposed in this paper. The lost projection information could be repaired with the new algorithm called local anisotropic total variation repair method of sinogram (LATV). According to the continuity of local gradient in sinogram, local high frequency characteristics can be improved which are blurred by conventional TVM. A series of numerical reconstruction experiments were conducted to validate the new algorithm. The overall quality of images reconstructed by new algorithm was better than conventional TVM algorithm when quantitatively evaluated. Then, a local region with rich details was selected in order to evaluate the reconstruction effect of the internal details. From the perspective of three image quality evaluation parameters, it was shown that the local high frequency details were well repaired. Finally, the reconstruction quality was evaluated by actual CT experimental data. The new method also performed better than conventional method. Therefore, the new LATV algorithm proposed in this paper may be a new method suitable for limited-angle CT reconstruction problems.
引用
收藏
页数:13
相关论文
共 20 条
[1]   An investigation of spatial resolution and noise in reconstructed CT images using iterative reconstruction (IR) and filtered back-projection (FBP) [J].
Anam, C. ;
Haryanto, F. ;
Widita, R. ;
Arif, I. ;
Dougherty, G. .
6TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND NATURAL SCIENCES, 2019, 1127
[2]   Prior Image Constrained Compressed Sensing (PICCS) [J].
Chen, Guang-Hong ;
Tang, Jie ;
Leng, Shuai .
PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2008: THE NINTH CONFERENCE ON BIOMEDICAL THERMOACOUSTICS, OPTOACOUSTICS, AND ACOUSTIC-OPTICS, 2008, 6856
[3]   Discriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging [J].
Chen, Yang ;
Liu, Jin ;
Xie, Lizhe ;
Hu, Yining ;
Shu, Huazhong ;
Luo, Limin ;
Zhang, Libo ;
Gui, Zhiguo ;
Coatrieux, Gouenou .
SCIENTIFIC REPORTS, 2017, 7
[4]   A limited-angle CT reconstruction method based on anisotropic TV minimization [J].
Chen, Zhiqiang ;
Jin, Xin ;
Li, Liang ;
Wang, Ge .
PHYSICS IN MEDICINE AND BIOLOGY, 2013, 58 (07) :2119-2141
[5]   Self-Guided Limited-Angle Computed Tomography Reconstruction Based on Anisotropic Relative Total Variation [J].
Gong, Changcheng ;
Zeng, Li .
IEEE ACCESS, 2020, 8 (70465-70476) :70465-70476
[6]   Image reconstruction model for limited-angle CT based on prior image induced relative total variation [J].
Gong, Changcheng ;
Zeng, Li ;
Wang, Chengxiang .
APPLIED MATHEMATICAL MODELLING, 2019, 74 :586-605
[7]  
Gui Z, 2022, J X-RAY SCI TECHNOL, P1
[8]   Compressed sensing based CT reconstruction algorithm combined with modified Canny edge detection [J].
Hsieh, Chia-Jui ;
Huang, Ta-Ko ;
Hsieh, Tung-Han ;
Chen, Guo-Huei ;
Shih, Kun-Long ;
Chen, Zhan-Yu ;
Chen, Jyh-Cheng ;
Chu, Woei-Chyn .
PHYSICS IN MEDICINE AND BIOLOGY, 2018, 63 (15)
[9]   In situ observations of fractures in short carbon fiber/epoxy composites [J].
Hu, Xiaofang ;
Wang, Luobin ;
Xu, Feng ;
Xiao, Tiqiao ;
Zhang, Zhong .
CARBON, 2014, 67 :368-376
[10]   Sparse CT reconstruction based on multi-direction anisotropic total variation (MDATV) [J].
Li, Hongxiao ;
Chen, Xiaodong ;
Wang, Yi ;
Zhou, Zhongxing ;
Zhu, Qingzhen ;
Yu, Daoyin .
BIOMEDICAL ENGINEERING ONLINE, 2014, 13