218 related articles for article (PubMed ID: 35545078)
1. Dual-energy CT based mass density and relative stopping power estimation for proton therapy using physics-informed deep learning.
Chang CW; Gao Y; Wang T; Lei Y; Wang Q; Pan S; Sudhyadhom A; Bradley JD; Liu T; Lin L; Zhou J; Yang X
Phys Med Biol; 2022 May; 67(11):. PubMed ID: 35545078
[TBL] [Abstract][Full Text] [Related]
2. Single energy CT-based mass density and relative stopping power estimation for proton therapy using deep learning method.
Gao Y; Chang CW; Roper J; Axente M; Lei Y; Pan S; Bradley JD; Zhou J; Liu T; Yang X
Front Oncol; 2023; 13():1278180. PubMed ID: 38074686
[TBL] [Abstract][Full Text] [Related]
3. Validation of a deep learning-based material estimation model for Monte Carlo dose calculation in proton therapy.
Chang CW; Zhou S; Gao Y; Lin L; Liu T; Bradley JD; Zhang T; Zhou J; Yang X
Phys Med Biol; 2022 Oct; 67(21):. PubMed ID: 36174551
[No Abstract] [Full Text] [Related]
4. Multimodal imaging-based material mass density estimation for proton therapy using supervised deep learning.
Chang CW; Marants R; Gao Y; Goette M; Scholey JE; Bradley JD; Liu T; Zhou J; Sudhyadhom A; Yang X
Br J Radiol; 2023 Dec; 96(1152):20220907. PubMed ID: 37660372
[TBL] [Abstract][Full Text] [Related]
5. MRI-only based material mass density and relative stopping power estimation via deep learning for proton therapy: a preliminary study.
Gao Y; Chang CW; Mandava S; Marants R; Scholey JE; Goette M; Lei Y; Mao H; Bradley JD; Liu T; Zhou J; Sudhyadhom A; Yang X
Sci Rep; 2024 May; 14(1):11166. PubMed ID: 38750148
[TBL] [Abstract][Full Text] [Related]
6. Machine learning based oxygen and carbon concentration derivation using dual-energy CT for PET-based dose verification in proton therapy.
Liu Y; Zhou L; Peng H
Med Phys; 2022 May; 49(5):3347-3360. PubMed ID: 35246842
[TBL] [Abstract][Full Text] [Related]
7. Towards subpercentage uncertainty proton stopping-power mapping via dual-energy CT: Direct experimental validation and uncertainty analysis of a statistical iterative image reconstruction method.
Medrano M; Liu R; Zhao T; Webb T; Politte DG; Whiting BR; Liao R; Ge T; Porras-Chaverri MA; O'Sullivan JA; Williamson JF
Med Phys; 2022 Mar; 49(3):1599-1618. PubMed ID: 35029302
[TBL] [Abstract][Full Text] [Related]
8. Stopping-power ratio estimation for proton radiotherapy using dual-energy computed tomography and prior-image constrained denoising.
Zimmerman J; Thor D; Poludniowski G
Med Phys; 2023 Mar; 50(3):1481-1495. PubMed ID: 36322128
[TBL] [Abstract][Full Text] [Related]
9. Dosimetric comparison of stopping power calibration with dual-energy CT and single-energy CT in proton therapy treatment planning.
Zhu J; Penfold SN
Med Phys; 2016 Jun; 43(6):2845-2854. PubMed ID: 27277033
[TBL] [Abstract][Full Text] [Related]
10. Technical Note: Relative proton stopping power estimation from virtual monoenergetic images reconstructed from dual-layer computed tomography.
Landry G; Dörringer F; Si-Mohamed S; Douek P; Abascal JFPJ; Peyrin F; Almeida IP; Verhaegen F; Rinaldi I; Parodi K; Rit S
Med Phys; 2019 Apr; 46(4):1821-1828. PubMed ID: 30695108
[TBL] [Abstract][Full Text] [Related]
11. Convolutional neural network based proton stopping-power-ratio estimation with dual-energy CT: a feasibility study.
Lee HH; Park YK; Duan X; Jia X; Jiang S; Yang M
Phys Med Biol; 2020 Nov; 65(21):215016. PubMed ID: 32736368
[TBL] [Abstract][Full Text] [Related]
12. Comparison of proton therapy treatment planning for head tumors with a pencil beam algorithm on dual and single energy CT images.
Hudobivnik N; Schwarz F; Johnson T; Agolli L; Dedes G; Tessonnier T; Verhaegen F; Thieke C; Belka C; Sommer WH; Parodi K; Landry G
Med Phys; 2016 Jan; 43(1):495. PubMed ID: 26745942
[TBL] [Abstract][Full Text] [Related]
13. Learning-based synthetic dual energy CT imaging from single energy CT for stopping power ratio calculation in proton radiation therapy.
Charyyev S; Wang T; Lei Y; Ghavidel B; Beitler JJ; McDonald M; Curran WJ; Liu T; Zhou J; Yang X
Br J Radiol; 2022 Jan; 95(1129):20210644. PubMed ID: 34709948
[TBL] [Abstract][Full Text] [Related]
14. Optimization of dual-energy CT acquisitions for proton therapy using projection-based decomposition.
Vilches-Freixas G; Létang JM; Ducros N; Rit S
Med Phys; 2017 Sep; 44(9):4548-4558. PubMed ID: 28675582
[TBL] [Abstract][Full Text] [Related]
15. Cone-beam CT-derived relative stopping power map generation via deep learning for proton radiotherapy.
Harms J; Lei Y; Wang T; McDonald M; Ghavidel B; Stokes W; Curran WJ; Zhou J; Liu T; Yang X
Med Phys; 2020 Sep; 47(9):4416-4427. PubMed ID: 32579710
[TBL] [Abstract][Full Text] [Related]
16. Experimental implementation of a joint statistical image reconstruction method for proton stopping power mapping from dual-energy CT data.
Zhang S; Han D; Williamson JF; Zhao T; Politte DG; Whiting BR; O'Sullivan JA
Med Phys; 2019 Jan; 46(1):273-285. PubMed ID: 30421790
[TBL] [Abstract][Full Text] [Related]
17. The potential of dual-energy CT to reduce proton beam range uncertainties.
Bär E; Lalonde A; Royle G; Lu HM; Bouchard H
Med Phys; 2017 Jun; 44(6):2332-2344. PubMed ID: 28295434
[TBL] [Abstract][Full Text] [Related]
18. Calibrated uncertainty estimation for interpretable proton computed tomography image correction using Bayesian deep learning.
Nomura Y; Tanaka S; Wang J; Shirato H; Shimizu S; Xing L
Phys Med Biol; 2021 Mar; 66(6):065029. PubMed ID: 33626513
[TBL] [Abstract][Full Text] [Related]
19. Deep learning-based virtual noncontrast CT for volumetric modulated arc therapy planning: Comparison with a dual-energy CT-based approach.
Koike Y; Ohira S; Akino Y; Sagawa T; Yagi M; Ueda Y; Miyazaki M; Sumida I; Teshima T; Ogawa K
Med Phys; 2020 Feb; 47(2):371-379. PubMed ID: 31733105
[TBL] [Abstract][Full Text] [Related]
20. A linear, separable two-parameter model for dual energy CT imaging of proton stopping power computation.
Han D; Siebers JV; Williamson JF
Med Phys; 2016 Jan; 43(1):600. PubMed ID: 26745952
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
