388 related articles for article (PubMed ID: 35313293)
21. 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]
22. A two-step method to improve image quality of CBCT with phantom-based supervised and patient-based unsupervised learning strategies.
Liu Y; Chen X; Zhu J; Yang B; Wei R; Xiong R; Quan H; Liu Y; Dai J; Men K
Phys Med Biol; 2022 Apr; 67(8):. PubMed ID: 35354124
[No Abstract] [Full Text] [Related]
23. Fast four-dimensional cone-beam computed tomography reconstruction using deformable convolutional networks.
Jiang Z; Chang Y; Zhang Z; Yin FF; Ren L
Med Phys; 2022 Oct; 49(10):6461-6476. PubMed ID: 35713411
[TBL] [Abstract][Full Text] [Related]
24. PRIOR: Prior-Regularized Iterative Optimization Reconstruction For 4D CBCT.
Hu D; Zhang Y; Liu J; Zhang Y; Coatrieux JL; Chen Y
IEEE J Biomed Health Inform; 2022 Nov; 26(11):5551-5562. PubMed ID: 36001519
[TBL] [Abstract][Full Text] [Related]
25. High-quality initial image-guided 4D CBCT reconstruction.
Zhi S; Kachelrieß M; Mou X
Med Phys; 2020 Jun; 47(5):2099-2115. PubMed ID: 32017128
[TBL] [Abstract][Full Text] [Related]
26. Intrafraction 4D-cone beam CT acquired during volumetric arc radiotherapy delivery: kV parameter optimization and 4D motion accuracy for lung stereotactic body radiotherapy (SBRT) patients.
Liang J; Lack D; Zhou J; Liu Q; Grills I; Yan D
J Appl Clin Med Phys; 2019 Dec; 20(12):10-24. PubMed ID: 31675150
[TBL] [Abstract][Full Text] [Related]
27. A cycle generative adversarial network for improving the quality of four-dimensional cone-beam computed tomography images.
Usui K; Ogawa K; Goto M; Sakano Y; Kyougoku S; Daida H
Radiat Oncol; 2022 Apr; 17(1):69. PubMed ID: 35392947
[TBL] [Abstract][Full Text] [Related]
28. Image quality of 4D in-treatment CBCT acquired during lung SBRT using FFF beam: a phantom study.
Kim J; Keum KC; Lee H; Hong CS; Park K; Kim JS
Radiat Oncol; 2020 Sep; 15(1):224. PubMed ID: 32977808
[TBL] [Abstract][Full Text] [Related]
29. Image quality in thoracic 4D cone-beam CT: a sensitivity analysis of respiratory signal, binning method, reconstruction algorithm, and projection angular spacing.
Shieh CC; Kipritidis J; O'Brien RT; Kuncic Z; Keall PJ
Med Phys; 2014 Apr; 41(4):041912. PubMed ID: 24694143
[TBL] [Abstract][Full Text] [Related]
30. Four-dimensional volume-of-interest reconstruction for cone-beam computed tomography-guided radiation therapy.
Ahmad M; Balter P; Pan T
Med Phys; 2011 Oct; 38(10):5646-56. PubMed ID: 21992381
[TBL] [Abstract][Full Text] [Related]
31. Real-time respiratory triggered four dimensional cone-beam CT halves imaging dose compared to conventional 4D CBCT.
Cooper BJ; O'Brien RT; Shieh CC; Keall PJ
Phys Med Biol; 2019 Mar; 64(7):07NT01. PubMed ID: 30754038
[TBL] [Abstract][Full Text] [Related]
32. Mitigation of motion-induced artifacts in cone beam computed tomography using deep convolutional neural networks.
Amirian M; Montoya-Zegarra JA; Herzig I; Eggenberger Hotz P; Lichtensteiger L; Morf M; Züst A; Paysan P; Peterlik I; Scheib S; Füchslin RM; Stadelmann T; Schilling FP
Med Phys; 2023 Oct; 50(10):6228-6242. PubMed ID: 36995003
[TBL] [Abstract][Full Text] [Related]
33. Anthropomorphic lung phantom based validation of in-room proton therapy 4D-CBCT image correction for dose calculation.
Bondesson D; Meijers A; Janssens G; Rit S; Rabe M; Kamp F; Niepel K; Otter LAD; Both S; Brousmiche S; Dinkel J; Belka C; Parodi K; Knopf A; Kurz C; Landry G
Z Med Phys; 2022 Feb; 32(1):74-84. PubMed ID: 33248812
[TBL] [Abstract][Full Text] [Related]
34. Deep learning-based fast volumetric imaging using kV and MV projection images for lung cancer radiotherapy: A feasibility study.
Lei Y; Tian Z; Wang T; Roper J; Xie H; Kesarwala AH; Higgins K; Bradley JD; Liu T; Yang X
Med Phys; 2023 Sep; 50(9):5518-5527. PubMed ID: 36939395
[TBL] [Abstract][Full Text] [Related]
35. Development of a prediction model for target positioning by using diaphragm waveforms extracted from CBCT projection images.
Sakurai Y; Ambo S; Nakamura M; Iramina H; Iizuka Y; Mitsuyoshi T; Matsuo Y; Mizowaki T
J Appl Clin Med Phys; 2023 Nov; 24(11):e14112. PubMed ID: 37543990
[TBL] [Abstract][Full Text] [Related]
36. A biomechanical modeling-guided simultaneous motion estimation and image reconstruction technique (SMEIR-Bio) for 4D-CBCT reconstruction.
Huang X; Zhang Y; Wang J
Phys Med Biol; 2018 Feb; 63(4):045002. PubMed ID: 29328048
[TBL] [Abstract][Full Text] [Related]
37. Dynamic cone-beam CT reconstruction using spatial and temporal implicit neural representation learning (STINR).
Zhang Y; Shao HC; Pan T; Mengke T
Phys Med Biol; 2023 Feb; 68(4):. PubMed ID: 36638543
[No Abstract] [Full Text] [Related]
38. A data-efficient method for local noise power spectrum (NPS) estimation in FDK-reconstructed 3D cone-beam CT.
Zeng R; Torkaman M; Ning H; Zhuge Y; Miller R; Myers KJ
Med Phys; 2019 Apr; 46(4):1634-1647. PubMed ID: 30723944
[TBL] [Abstract][Full Text] [Related]
39. Empirical scatter correction: CBCT scatter artifact reduction without prior information.
Trapp P; Maier J; Susenburger M; Sawall S; Kachelrieß M
Med Phys; 2022 Jul; 49(7):4566-4584. PubMed ID: 35390181
[TBL] [Abstract][Full Text] [Related]
40. Evaluation of the cone beam CT for internal target volume localization in lung stereotactic radiotherapy in comparison with 4D MIP images.
Wang L; Chen X; Lin MH; Xue J; Lin T; Fan J; Jin L; Ma CM
Med Phys; 2013 Nov; 40(11):111709. PubMed ID: 24320417
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]