1. |
Ouadah S, Stayman J W, Gang G J, et al. Self-calibration of cone-beam CT geometry using 3D–2D image registration. Phys Med Biol, 2016, 61(7): 2613-2632.
|
2. |
Pauwels R. Cone beam CT for dental and maxillofacial imaging: dose matters: Table 1. Radiat Prot Dosim, 2015, 165(1-4): 156-161.
|
3. |
Boone J M, Nelson T R, Lindfors K K, et al. Dedicated breast CT: Radiation dose and image quality evaluation. Radiology, 2001, 221(3): 657-667.
|
4. |
Jaffray D A, Siewerdsen J H, Wong J W, et al. Flat-panel cone-beam computed tomography for image-guided radiation therapy. Int J Radiat Oncol Biol Phys, 2002, 53(5): 1337-1349.
|
5. |
Jacobson M W, Ketcha M D, Capostagno S, et al. A line fiducial method for geometric calibration of cone-beam CT systems with diverse scan trajectories. Phys Med Biol, 2018, 63(2): 25030.
|
6. |
Patel V, Chityala R N, Hoffmann K R, et al. Self-calibration of a cone-beam micro-CT system. Med Phys, 2009, 36(1): 48-58.
|
7. |
Noo F, Clack R, White T A, et al. The dual-ellipse cross vertex path for exact reconstruction of long objects in cone-beam tomography. Phys Med Biol, 1998, 43(4): 797-810.
|
8. |
Katsevich A. Image reconstruction for the circle and line trajectory. Phys Med Biol, 2004, 49(22): 5059-5072.
|
9. |
Katsevich A. Image reconstruction for the circle-and-arc trajectory. Phys Med Biol, 2005, 50(10): 2249-2265.
|
10. |
Yu Z, Lauritsch G, Dennerlein F, et al. Extended ellipse-line-ellipse trajectory for long-object cone-beam imaging with a mounted C-arm system. Phys Med Biol, 2016, 61(4): 1829-1851.
|
11. |
Herbst M, Schebesch F, Berger M, et al. Dynamic detector offsets for field of view extension in C-arm computed tomography with application to weight-bearing imaging. Med Phys, 2015, 42(5): 2718-2729.
|
12. |
Zeng G L, Gullberg G T. A cone-beam tomography algorithm for orthogonal circle-and-line orbit. Phys Med Biol, 1992, 37(3): 563-577.
|
13. |
Tang X, Ning R. A cone beam filtered backprojection (CB-FBP) reconstruction algorithm for a circle-plus-two-arc orbit. Med Phys, 2001, 28(6): 1042-1055.
|
14. |
Ouadah S, Jacobson M, Stayman J W, et al. Task-driven orbit design and implementation on a robotic C-arm system for cone-beam CT. Proc SPIE Int Soc Opt Eng, 2017, 10132: 101320H.
|
15. |
Boyd S P, Parikh N, Chu E, et al. Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends Mach Learn, 2010, 3(1): 1-122.
|
16. |
Pan W, Sootla A, Stan G B. Distributed reconstruction of nonlinear networks: An ADMM approach. IFAC Proceedings Volumes, 2014, 47(3): 3208-3213.
|
17. |
Matamoros J, Fosson S M, Magli E, et al. Distributed ADMM for in-network reconstruction of sparse signals with innovations. IEEE T Signal Inf Pr, 2015, 1(4): 225-234.
|
18. |
Jia Xun, Lou Yifei, Lewis J, et al. GPU-based fast low dose cone beam CT reconstruction via total variation. J Xray Sci Technol, 2011, 19(2): 139-154.
|
19. |
Nien H, Fessler J A. Fast X-Ray CT image reconstruction using a linearized augmented lagrangian method with ordered subsets. IEEE Trans Med Imaging, 2015, 34(2): 388-399.
|
20. |
Wang Z, Bovik A C, Sheikh H R, et al. Image quality assessment: From error visibility to structural similarity. IEEE Trans Image Process, 2004, 13(4): 600-612.
|
21. |
Rougee A, Picard C L, Trousset Y L, et al. Geometrical calibration for 3D X-ray imaging. Proc SPIE, 1993, 1987: 161-169.
|
22. |
Kyriakou Y, Lapp R M, Hillebrand L, et al. Simultaneous misalignment correction for approximate circular cone-beam computed tomography. Phys Med Biol, 2008, 53(22): 6267-6289.
|
23. |
Wicklein J, Kunze H, Kalender W A, et al. Image features for misalignment correction in medical flat-detector CT. Med Phys, 2012, 39(8): 4918-4931.
|
24. |
Yao Lisha, Dong Zeng, Chen Gaofeng, et al. Multi-energy computed tomography reconstruction using a nonlocal spectral similarity model. Phys Med Biol, 2019, 64(3): 35018.
|