|
|
Fast 3D Reconstruction Algorithm of Multi-resolution Cone Beam CT Image Based on Wavelet Transform |
HAN Min① CHENG Xu① LI Dengwang② |
①(Institute of Information Science and Engineering, Shandong University, Jinan 250100, China)
②(Institute of Physics and Electronics, Shandong Normal University, Jinan 250014, China) |
|
|
Abstract To solve the large amount of computation, time-consuming problems of the FDK reconstruction algorithm for cone beam CT reconstruction, and different resolutions for different application environments of 3D medical image, this paper proposes a fast reconstruction algorithm of multi-resolution cone beam CT image based on wavelet transform. Firstly, the corresponding wavelet transform for projection images are obtained, and the corresponding scale wavelet coefficients are selected for FDK reconstruction. Thus, 3D image data of the low resolution are obtained. According to need, the high resolution 3D image data can also be obtained by the inverse wavelet transform of the radial images obtained from low resolution. The experimental data shows that this method can not only provide a different resolution of the 3D image data, but also increase the reconstruction speed more than one times when the same resolution and similar precision high resolution 3D image data is obtained compared with the traditional FDK algorithm.
|
Received: 03 January 2017
Published: 14 June 2017
|
|
Fund:The National Natural Science Foundation of China (61471226), The Distinguished Young Scholars of Shandong Province(JQ201516) |
Corresponding Authors:
CHENG Xu
E-mail: chengxu_2015@163.com
|
|
|
|
[1] |
ZOU Xiaobing and ZENG Li. Weighted FDK algorithm from spiral cone-beam computed tomography with displaced detector[J]. Journal of Medical Imaging and Health Informatics, 2015, 5(2): 290-295. doi: 10.1166/jmihi.2015.1389.
|
[2] |
闫镔, 韩玉, 魏峰, 等. 锥束CT超视野成像重建算法综述[J]. CT理论与应用研究, 2013, 22(2): 373-384.
|
|
YAN Bin, HAN Yu, WEI Feng, et al. Review of algorithms for over FOV size object in cone-beam CT[J]. ComputerizedTomography Theory and Application, 2013, 22(2): 373-384.
|
[3] |
FELDKAMP L, DAVIS L C, and KRESS J. Practical conebeam algorithm[J]. Journal of the Optical Society of America A, 1984, 1(6): 612-619. doi: 10.1364/JOSAA. 1.000612.
|
[4] |
WANG Ge, LIN Teinhsiang, and CHENG Pingchin. A general cone-beam reconstruction algorithm[J]. IEEE Transactions on Medical Imaging, 1993, 12(3): 486-496. doi: 10.1109/42.241876.
|
[5] |
TURBELL H. Cone-beam reconstruction using filtered backprojection[D]. [Ph.D. dissertation], The Linkoping University, 2001.
|
[6] |
GRASS M, KOHLER T, and PROKSA R. Angular weighted hybrid cone-beam CT reconstruction for circular trajectories
|
[J] |
Physics in Medicine & Biology, 2001, 46(6): 1595-1610. doi: 10.1088/0031-9155/46/6/301.
|
[7] |
JIN Xinyu, BAI Fudong, and LAN Yizheng. A novel interpolation algorithm to improve FDK performance[C]. International Symposium on Computational Intelligence and Design, Hangzhou, 2015: 247-249. doi: 10.1109/ISCID.2015.37.
|
[8] |
DOMINGUEZ J, ASSIS J, et al. Speeding up the FDK Algorithm for tomographic image reconstruction in multicore processors with hyper-threading technology[J]. IEEE Latin America Transactions, 2015, 13(1): 359-364. doi: 10.1109/
|
|
TLA.2015.7040670.
|
[9] |
张文昆, 闫镔, 蔡爱龙, 等. 选择性重排FDK算法及其GPU加速优化[J]. CT理论与应用研究, 2015, 24(3): 383-392. doi: 10.15953/j.1004-4140.2015.24.03.07.
|
|
ZHANG Wenkun, YAN Bin, CAI Ailong, et al. Selective
|
|
projection-rebin FDK algorithm and its efficient GPU implementation[J]. Computerized Tomography Theory and
|
|
Application, 2015, 24(3): 383-392. doi: 10.15953/j.1004-4140.2015.24.03.07.
|
[10] |
GUO Bin, LIU Bo, and ZHOU Fugen. A modified FDK with misaligned parameters of flat-panel detector in cone-beamCT[C]. IEEE International Conference on Medical Imaging Physics and Engineering, Shenyang, 2013: 223-227. doi: 10.
|
11 |
09/ICMIPE.2013.6864539.
|
[11] |
ZHANG Yan. Three-dimensional image quality evaluation
|
|
and improvement in flat-panel detector based cone-beam CT
|
|
image[D]. [Ph.D. dissertation], The Rochester University, 2009.
|
[12] |
MALLAT S G. A theory for multiresolution signal decomposition: The wavelet representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11(7): 674-693. doi: 10.1109/34.192463.
|
[13] |
WANG Yu, OU Zongying, and WANG Feng. Modified FDKalgorithm for cone-beam reconstruction with efficient
|
|
weighting scheme[C]. World Congress on Intelligent Control
|
|
and Automation, Dalian, 2006: 9703-9707. doi: 10.1109/ WCICA.2006.1713887.
|
[14] |
ZHANG Feng, YAN Bin, and LI Lei. An image reconstructionstrategy for truncated projections of planar object in cone- beam CT[C]. International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Zhangjiajie, 2015: 1113-1117. doi: 10.1109/FSKD.2015.7382098.
|
[15] |
YANG Hongcheng, GAO Xin, XU Chuan, et al. A backprojection weight-based FDK reconstruction algorithm for cone beam digital subtraction angiography[C]. InternationalConference on Biomedical Engineering and Informatics, Chongqing, 2012: 1-5. doi: 10.1109/BMEI.2012.6513031.
|
|
|
|