1408 related articles for article (PubMed ID: 24593729)
21. Reducing scan angle using adaptive prior knowledge for a limited-angle intrafraction verification (LIVE) system for conformal arc radiotherapy.
Zhang Y; Yin FF; Zhang Y; Ren L
Phys Med Biol; 2017 May; 62(9):3859-3882. PubMed ID: 28338470
[TBL] [Abstract][Full Text] [Related]
22. Simultaneous motion estimation and image reconstruction (SMEIR) for 4D cone-beam CT.
Wang J; Gu X
Med Phys; 2013 Oct; 40(10):101912. PubMed ID: 24089914
[TBL] [Abstract][Full Text] [Related]
23. An image-based method to synchronize cone-beam CT and optical surface tracking.
Fassi A; Schaerer J; Riboldi M; Sarrut D; Baroni G
J Appl Clin Med Phys; 2015 Mar; 16(2):5152. PubMed ID: 26103183
[TBL] [Abstract][Full Text] [Related]
24. Clinical use of iterative 4D-cone beam computed tomography reconstructions to investigate respiratory tumor motion in lung cancer patients.
Schmidt ML; Poulsen PR; Toftegaard J; Hoffmann L; Hansen D; Sørensen TS
Acta Oncol; 2014 Aug; 53(8):1107-13. PubMed ID: 24957556
[TBL] [Abstract][Full Text] [Related]
25. Four-dimensional dose reconstruction through in vivo phase matching of cine images of electronic portal imaging device.
Yoon J; Jung JW; Kim JO; Yi BY; Yeo I
Med Phys; 2016 Jul; 43(7):4420. PubMed ID: 27370157
[TBL] [Abstract][Full Text] [Related]
26. Tumor motion changes in stereotactic body radiotherapy for liver tumors: an evaluation based on four-dimensional cone-beam computed tomography and fiducial markers.
Shimohigashi Y; Toya R; Saito T; Ikeda O; Maruyama M; Yonemura K; Nakaguchi Y; Kai Y; Yamashita Y; Oya N; Araki F
Radiat Oncol; 2017 Mar; 12(1):61. PubMed ID: 28335794
[TBL] [Abstract][Full Text] [Related]
27. Phantom and clinical study of differences in cone beam computed tomographic registration when aligned to maximum and average intensity projection.
Shirai K; Nishiyama K; Katsuda T; Teshima T; Ueda Y; Miyazaki M; Tsujii K
Int J Radiat Oncol Biol Phys; 2014 Jan; 88(1):189-94. PubMed ID: 24331666
[TBL] [Abstract][Full Text] [Related]
28. A novel markerless technique to evaluate daily lung tumor motion based on conventional cone-beam CT projection data.
Yang Y; Zhong Z; Guo X; Wang J; Anderson J; Solberg T; Mao W
Int J Radiat Oncol Biol Phys; 2012 Apr; 82(5):e749-56. PubMed ID: 22330989
[TBL] [Abstract][Full Text] [Related]
29. Feasibility study on 3D image reconstruction from 2D orthogonal cine-MRI for MRI-guided radiotherapy.
Paganelli C; Lee D; Kipritidis J; Whelan B; Greer PB; Baroni G; Riboldi M; Keall P
J Med Imaging Radiat Oncol; 2018 Jun; 62(3):389-400. PubMed ID: 29430856
[TBL] [Abstract][Full Text] [Related]
30. Dosimetric advantages of four-dimensional adaptive image-guided radiotherapy for lung tumors using online cone-beam computed tomography.
Harsolia A; Hugo GD; Kestin LL; Grills IS; Yan D
Int J Radiat Oncol Biol Phys; 2008 Feb; 70(2):582-9. PubMed ID: 18207034
[TBL] [Abstract][Full Text] [Related]
31. Common-mask guided image reconstruction (c-MGIR) for enhanced 4D cone-beam computed tomography.
Park JC; Zhang H; Chen Y; Fan Q; Li JG; Liu C; Lu B
Phys Med Biol; 2015 Dec; 60(23):9157-83. PubMed ID: 26562284
[TBL] [Abstract][Full Text] [Related]
32. The accuracy of extracted target motion trajectories in four-dimensional cone-beam computed tomography for lung cancer patients.
Iramina H; Nakamura M; Iizuka Y; Mitsuyoshi T; Matsuo Y; Mizowaki T; Hiraoka M; Kanno I
Radiother Oncol; 2016 Oct; 121(1):46-51. PubMed ID: 27528116
[TBL] [Abstract][Full Text] [Related]
33. Comparison of setup error using different reference images: a phantom and lung cancer patients study.
Jiang B; Dai J; Zhang Y; Zhang K; Men K; Zhou Z; Liang J; Wang L
Med Dosim; 2012; 37(1):47-52. PubMed ID: 21741820
[TBL] [Abstract][Full Text] [Related]
34. Impact of target volume segmentation accuracy and variability on treatment planning for 4D-CT-based non-small cell lung cancer radiotherapy.
Martin S; Johnson C; Brophy M; Palma DA; Barron JL; Beauchemin SS; Louie AV; Yu E; Yaremko B; Ahmad B; Rodrigues GB; Gaede S
Acta Oncol; 2015 Mar; 54(3):322-32. PubMed ID: 25350526
[TBL] [Abstract][Full Text] [Related]
35. Experimental evaluations of the accuracy of 3D and 4D planning in robotic tracking stereotactic body radiotherapy for lung cancers.
Chan MK; Kwong DL; Ng SC; Tong AS; Tam EK
Med Phys; 2013 Apr; 40(4):041712. PubMed ID: 23556882
[TBL] [Abstract][Full Text] [Related]
36. Imaging a moving lung tumor with megavoltage cone beam computed tomography.
Gayou O; Colonias A
Med Phys; 2015 May; 42(5):2347-53. PubMed ID: 25979029
[TBL] [Abstract][Full Text] [Related]
37. Extraction of tumor motion trajectories using PICCS-4DCBCT: a validation study.
Qi Z; Chen GH
Med Phys; 2011 Oct; 38(10):5530-8. PubMed ID: 21992371
[TBL] [Abstract][Full Text] [Related]
38. Rotational positional error-corrected linear set-up margin calculation technique for lung stereotactic body radiotherapy in a dual imaging environment of 4-D cone beam CT and ExacTrac stereoscopic imaging.
Sarkar B; Ganesh T; Munshi A; Manikandan A; Roy S; Krishnankutty S; Chitral L; Sathiya J; Pradhan A; Mohanti BK
Radiol Med; 2021 Jul; 126(7):979-988. PubMed ID: 33900527
[TBL] [Abstract][Full Text] [Related]
39. High-quality four-dimensional cone-beam CT by deforming prior images.
Wang J; Gu X
Phys Med Biol; 2013 Jan; 58(2):231-46. PubMed ID: 23257113
[TBL] [Abstract][Full Text] [Related]
40. [4D-CT-based plan target volume (PTV) definition compared with conventional PTV definition using general margin in radiotherapy for lung cancer].
Ju X; Li M; Zhou Z; Zhang K; Han W; Fu G; Cao Y; Wang L
Zhonghua Zhong Liu Za Zhi; 2014 Jan; 36(1):34-8. PubMed ID: 24685084
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
