185 related articles for article (PubMed ID: 37167217)
1. Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT.
Ryu K; Lee C; Han Y; Pang S; Kim YH; Choi C; Jang I; Han SS
PLoS One; 2023; 18(5):e0285608. PubMed ID: 37167217
[TBL] [Abstract][Full Text] [Related]
2. Performance of cone-beam computed tomography and multidetector computed tomography in diagnostic imaging of the midface: A comparative study on Phantom and cadaver head scans.
Veldhoen S; Schöllchen M; Hanken H; Precht C; Henes FO; Schön G; Nagel HD; Schumacher U; Heiland M; Adam G; Regier M
Eur Radiol; 2017 Feb; 27(2):790-800. PubMed ID: 27169574
[TBL] [Abstract][Full Text] [Related]
3. Shading correction for on-board cone-beam CT in radiation therapy using planning MDCT images.
Niu T; Sun M; Star-Lack J; Gao H; Fan Q; Zhu L
Med Phys; 2010 Oct; 37(10):5395-406. PubMed ID: 21089775
[TBL] [Abstract][Full Text] [Related]
4. Twin Robotic X-Ray System for 3D Cone-Beam CT of the Wrist: An Evaluation of Image Quality and Radiation Dose.
Grunz JP; Gietzen CH; Kunz AS; Weng AM; Veyhl-Wichmann M; Ergün S; Bley TA; Schmitt R; Gassenmaier T
AJR Am J Roentgenol; 2020 Feb; 214(2):422-427. PubMed ID: 31799871
[No Abstract] [Full Text] [Related]
5. Combining scatter reduction and correction to improve image quality in cone-beam computed tomography (CBCT).
Jin JY; Ren L; Liu Q; Kim J; Wen N; Guan H; Movsas B; Chetty IJ
Med Phys; 2010 Nov; 37(11):5634-44. PubMed ID: 21158275
[TBL] [Abstract][Full Text] [Related]
6. Streaking artifact reduction for CBCT-based synthetic CT generation in adaptive radiotherapy.
Gao L; Xie K; Sun J; Lin T; Sui J; Yang G; Ni X
Med Phys; 2023 Feb; 50(2):879-893. PubMed ID: 36183234
[TBL] [Abstract][Full Text] [Related]
7. A novel total variation based ring artifact suppression method for CBCT imaging with two-dimensional antiscatter grids.
Alexeev T; Kavanagh B; Miften M; Altunbas C
Med Phys; 2019 May; 46(5):2181-2193. PubMed ID: 30802970
[TBL] [Abstract][Full Text] [Related]
8. Metal artifact reduction in ultra-high-resolution cone-beam CT imaging with a twin robotic X-ray system.
Kunz AS; Patzer TS; Grunz JP; Luetkens KS; Hartung V; Hendel R; Fieber T; Genest F; Ergün S; Bley TA; Huflage H
Sci Rep; 2022 Sep; 12(1):15549. PubMed ID: 36114270
[TBL] [Abstract][Full Text] [Related]
9. Experiences with image quality and radiation dose of cone beam computed tomography (CBCT) and multidetector computed tomography (MDCT) in pediatric extremity trauma.
Tschauner S; Marterer R; Nagy E; Singer G; Riccabona M; Sorantin E
Skeletal Radiol; 2020 Dec; 49(12):1939-1949. PubMed ID: 32535775
[TBL] [Abstract][Full Text] [Related]
10. 3D-printed large-area focused grid for scatter reduction in cone-beam CT.
Cobos SF; Norley CJ; Nikolov HN; Holdsworth DW
Med Phys; 2023 Jan; 50(1):240-258. PubMed ID: 36215176
[TBL] [Abstract][Full Text] [Related]
11. Head and neck synthetic CT generated from ultra-low-dose cone-beam CT following Image Gently Protocol using deep neural network.
Yuan N; Rao S; Chen Q; Sensoy L; Qi J; Rong Y
Med Phys; 2022 May; 49(5):3263-3277. PubMed ID: 35229904
[TBL] [Abstract][Full Text] [Related]
12. Image-domain shading correction for cone-beam CT without prior patient information.
Fan Q; Lu B; Park JC; Niu T; Li JG; Liu C; Zhu L
J Appl Clin Med Phys; 2015 Nov; 16(6):65-75. PubMed ID: 26699555
[TBL] [Abstract][Full Text] [Related]
13. A new dental CBCT metal artifact reduction method based on a dual-domain processing framework.
Tang H; Lin YB; Jiang SD; Li Y; Li T; Bao XD
Phys Med Biol; 2023 Aug; 68(17):. PubMed ID: 37524084
[No Abstract] [Full Text] [Related]
14. Artifact removal for unpaired thorax CBCT images using a feature fusion residual network and contextual loss.
Zhuang W; Li Z; Liu H; Ying H; Yan M
J Appl Clin Med Phys; 2023 Jul; 24(7):e13968. PubMed ID: 36999753
[TBL] [Abstract][Full Text] [Related]
15. Iterative image-domain ring artifact removal in cone-beam CT.
Liang X; Zhang Z; Niu T; Yu S; Wu S; Li Z; Zhang H; Xie Y
Phys Med Biol; 2017 Jul; 62(13):5276-5292. PubMed ID: 28585520
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Gumbel distribution-based technique enables quantitative comparison between streak metal artifacts of multidetector row CT and cone-beam CT: a phantom study.
Nomura Y; Watanabe H; Tomisato H; Kawashima S; Miura M
Phys Eng Sci Med; 2023 Jun; 46(2):801-812. PubMed ID: 37052806
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Contextual loss based artifact removal method on CBCT image.
Xie S; Liang Y; Yang T; Song Z
J Appl Clin Med Phys; 2020 Dec; 21(12):166-177. PubMed ID: 33136307
[TBL] [Abstract][Full Text] [Related]
20. A quality assurance framework for the fully automated and objective evaluation of image quality in cone-beam computed tomography.
Steiding C; Kolditz D; Kalender WA
Med Phys; 2014 Mar; 41(3):031901. PubMed ID: 24593719
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]