All Issue

2020 Vol.24, Issue 2

Original Article

30 June 2020. pp. 51-61
Abstract
References
1
Pauwels R, Araki K, Siewerdsen JH, Thongvigitmanee SS. Technical aspects of dental CBCT: state of the art. Dentomaxillofa Radiol 2015;44:20140224.
10.1259/dmfr.2014022425263643PMC4277439
2
Lingyun C, Chris CS, Mustafa CA, Chao‐Jen L, Xinming L. Spatial resolution properties in cone beam CT: A simulation study. Med Phys 2008;35:724-34.
10.1118/1.282986718383694PMC2857694
3
Doga G, Francesco DC, Xianghui X, Chris J. TomoPy: a framework for the analysis of synchrotron tomographic data. J Synchrotron Rad 2014;21:1188-93.
10.1107/S160057751401393925178011PMC4181643
4
Chien CC, Chen JJ, Lai SF, Hwu Y, Petibois C, Yang CS, et al. X-ray imaging of tumor growth in live mice by detecting gold-nanoparticle-loaded cells. Sci Rep 2012;2:610.
10.1038/srep0061022934133PMC3429882
5
Kamburoğlu K, Murat S, Yüksel SP, Cebeci AR, Paksoy CS. Occlusal caries detection by using a cone-beam CT with different voxel resolutions and a digital intraoral sensor. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2010;109:e63-9.
10.1016/j.tripleo.2009.12.04820416522
6
Pickhardt PJ, Hassan C, Halligan S, Marmo R. Colorectal cancer: CT colonography and colonoscopy for detection-systematic review and meta-analysis. Radiology 2011;259:393-405.
10.1148/radiol.1110188721415247PMC3079122
7
Parkinson DY, Knoechel C, Yang C, Larabell CA, Le Gros MA. Automatic alignment and reconstruction of images for soft X-ray tomography. J Struct Bio 2012;177:259-66.
10.1016/j.jsb.2011.11.02722155289PMC3288662
8
José LC, Francisco JC, Eva P, María JR, Jose JF, Mariano E, et al. Cryo-X-ray tomography of vaccinia virus membranes and inner compartments. J Struct Bio 2009;168:234-9.
10.1016/j.jsb.2009.07.00919616103
9
Marco S, Gunther B, Peter W, Rafael A, Bruce P, Steven H, et al. High resolution x-ray detector for synchrotron-based microtomography. Nucl Instrum Methods Phys Res A 2002;491:291-301.
10.1016/S0168-9002(02)01167-1
10
Watanabe H, Honda E, Tetsumura A, Kurabayashi T. A comparative study for spatial resolution and subjective image characteristics of a multi-slice CT and a cone-beam CT for dental use. Eur J Radiol 2011;77:397-402.
10.1016/j.ejrad.2009.09.02319819091
11
Hengyong Y, Ge W. Data consistency based rigid motion artifact reduction in fan-beam CT. IEEE Trans Med Imaging 2007;26:249-60.
10.1109/TMI.2006.88971717304738
12
Brüllmann D, Schulze RK. Spatial resolution in CBCT machines for dental/maxillofacial applications-what do we know today?. Dentomaxillofac Radiol 2015;44:20140204.
10.1259/dmfr.2014020425168812PMC4614158
13
Schulze R, Heil U, Groβ D, Bruellmann DD, Dranischnikow E, Schwanecke U, et al. Artefacts in CBCT: a review. Dentomaxillofac Radiol 2011;40:265-73.
10.1259/dmfr/3064203921697151PMC3520262
14
Donaldson K, O'Connor S, Heath N. Dental cone beam CT image quality possibly reduced by patient movement. Dentomaxillofac Radiol 2013;42:91866873.
10.1259/dmfr/9186687322933531PMC3699018
15
Spin-Neto R, Matzen LH, Schropp L, Liedke GS, Gotfredsen E, Wenzel A. Radiographic observers' ability to recognize patient movement during cone beam CT. Dentomaxillofac Radiol 2014;43:20130449.
10.1259/dmfr.2013044924660954PMC4082264
16
Jing W, Tianfang L, Lei X. Iterative image reconstruction for CBCT using edge-preserving prior. Medical Physics 2009;36:252-60.
10.1118/1.303611219235393PMC2739313
17
Sun T, Sun N, Wang J, Tan S. Iterative CBCT reconstruction using Hessian penalty. Phys Med Biol 2015;60:1965-87.
10.1088/0031-9155/60/5/196525674998
18
Lim JH, Seo SJ, Kim HY, Ryu CK, Rah S, Huang JY, et al. Station for structural studies on macro objects: beamline 6C Bio Medical Imaging the Pohang Light Source-II. Biodesign 2017;5:53-61.
19
Donath T, Beckmann F, Schreyer A. Automated determination of the center of rotation in tomography data. J Opt Soc Am A Opt Image Sci Vis 2006;23:1048-57.
10.1364/JOSAA.23.00104816642181
20
Cheng CC, Ching YT, Ko PH, Hwu Y. Correction of center of rotation and projection angle in synchrotron X-ray computed tomography. Sci Rep 2018;8:9884.
10.1038/s41598-018-28149-829959398PMC6026166
21
Jun K, Yoon S. Alignment solution for CT image reconstruction using fixed point and virtual rotation axis. Sci Rep 2017;7:41218.
10.1038/srep4121828120881PMC5264594
22
Jun K. Virtual multi-alignment theory of parallel-beam CT image reconstruction for rigid objects. Sci Rep 2019;9:13518.
10.1038/s41598-019-49995-031534147PMC6751291
23
Jun K, Jung J. Virtual multi-alignment theory of parallel-beam CT image reconstruction for elastic objects. Sci Rep 2019;9:6847.
10.1038/s41598-019-43331-231048739PMC6497627
24
Yixing H, Xiaolin H, Oliver T, Yan X, Viktor H, Joachim H, et al. Restoration of missing data in limited angle tomography based on Helgason-Ludwig consistency conditions. Biomed phys Eng Express 2017;3:3.
10.1088/2057-1976/aa71bf
25
Kourosh JK, Hamid SZ. Radon transform orientation estimation for rotation invariant texture analysis. IEEE Trans Pattern Anal Mach Intell 2005;27:1004-8.
10.1109/TPAMI.2005.12615945146PMC2706151
26
Xia Y, Berger M, Bauer S, Hu S, Aichert A, Maier A. An improved extrapolation scheme for truncated CT data using 2D fourier-based helgason-ludwig consistency conditions. Int J Biomed Imaging 2017;2017:1867025.
10.1155/2017/186702528808441PMC5541827
Information
  • Publisher :The Korean Academy of Oral & Maxillofacial Implantology
  • Publisher(Ko) :대한구강악안면임플란트학회
  • Journal Title :Implantology
  • Journal Title(Ko) :대한구강악안면임플란트학회지
  • Volume : 24
  • No :2
  • Pages :51-61
  • Received Date : 2020-04-03
  • Revised Date : 2020-04-22
  • Accepted Date : 2020-04-27