178 related articles for article (PubMed ID: 33107997)
1. Technical Note: A methodology for improved accuracy in stopping power estimation using MRI and CT.
Scholey JE; Chandramohan D; Naren T; Liu W; Larson PEZ; Sudhyadhom A
Med Phys; 2021 Jan; 48(1):342-353. PubMed ID: 33107997
[TBL] [Abstract][Full Text] [Related]
2. Validation of an MR-based multimodal method for molecular composition and proton stopping power ratio determination using
Marants R; Tattenberg S; Scholey J; Kaza E; Miao X; Benkert T; Magneson O; Fischer J; Vinas L; Niepel K; Bortfeld T; Landry G; Parodi K; Verburg J; Sudhyadhom A
Phys Med Biol; 2023 Aug; 68(17):. PubMed ID: 37463589
[No Abstract] [Full Text] [Related]
3. Improved accuracy of relative electron density and proton stopping power ratio through CycleGAN machine learning.
Scholey J; Vinas L; Kearney V; Yom S; Larson PEZ; Descovich M; Sudhyadhom A
Phys Med Biol; 2022 May; 67(10):. PubMed ID: 35417903
[No Abstract] [Full Text] [Related]
4. Feasibility of using megavoltage computed tomography to reduce proton range uncertainty: A simulation study.
Hu Y; Ding X; Shen J; Bues M; Liu W; Kang Y; Leng S; Yu L
J Appl Clin Med Phys; 2021 Mar; 22(3):131-140. PubMed ID: 33608992
[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. 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]
7. 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]
8. Electron density and effective atomic number estimation in a maximum a posteriori framework for dual-energy computed tomography.
Simard M; Bär E; Blais D; Bouchard H
Med Phys; 2020 Sep; 47(9):4137-4149. PubMed ID: 32491193
[TBL] [Abstract][Full Text] [Related]
9. Prediction of proton stopping power ratios using dual-energy CT basis material decomposition.
Pettersson E; Thilander-Klang A; Bäck A
Med Phys; 2024 Feb; 51(2):881-897. PubMed ID: 38194501
[TBL] [Abstract][Full Text] [Related]
10. Synthetic dual-energy CT for MRI-only based proton therapy treatment planning using label-GAN.
Liu R; Lei Y; Wang T; Zhou J; Roper J; Lin L; McDonald MW; Bradley JD; Curran WJ; Liu T; Yang X
Phys Med Biol; 2021 Mar; 66(6):065014. PubMed ID: 33596558
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Real patient data based cross verification of kilovoltage and megavoltage CT calibration for proton therapy.
Nishioka S; Park JH; Zou W; Zhang M; Yue NJ; Chen T
Phys Med; 2016 Feb; 32(2):343-52. PubMed ID: 26924472
[TBL] [Abstract][Full Text] [Related]
13. An evaluation of the use of DirectSPR images for proton planning in the RayStation treatment planning software.
Sarkar V; Paxton A; Su F; Price R; Nelson G; Szegedi M; James SS; Salter BJ
J Appl Clin Med Phys; 2023 May; 24(5):e13900. PubMed ID: 36625438
[TBL] [Abstract][Full Text] [Related]
14. Revisiting the single-energy CT calibration for proton therapy treatment planning: a critical look at the stoichiometric method.
Gomà C; Almeida IP; Verhaegen F
Phys Med Biol; 2018 Nov; 63(23):235011. PubMed ID: 30474618
[TBL] [Abstract][Full Text] [Related]
15. Technical Note: CT calibration for proton treatment planning by cross-calibration with proton CT data.
Farace P; Tommasino F; Righetto R; Fracchiolla F; Scaringella M; Bruzzi M; Civinini C
Med Phys; 2021 Mar; 48(3):1349-1355. PubMed ID: 33382083
[TBL] [Abstract][Full Text] [Related]
16. Systematic analysis of the impact of imaging noise on dual-energy CT-based proton stopping power ratio estimation.
Lee HHC; Li B; Duan X; Zhou L; Jia X; Yang M
Med Phys; 2019 May; 46(5):2251-2263. PubMed ID: 30883827
[TBL] [Abstract][Full Text] [Related]
17. Impact of joint statistical dual-energy CT reconstruction of proton stopping power images: Comparison to image- and sinogram-domain material decomposition approaches.
Zhang S; Han D; Politte DG; Williamson JF; O'Sullivan JA
Med Phys; 2018 May; 45(5):2129-2142. PubMed ID: 29570809
[TBL] [Abstract][Full Text] [Related]
18. A robust empirical parametrization of proton stopping power using dual energy CT.
Taasti VT; Petersen JB; Muren LP; Thygesen J; Hansen DC
Med Phys; 2016 Oct; 43(10):5547. PubMed ID: 27782721
[TBL] [Abstract][Full Text] [Related]
19. Material elemental decomposition in dual and multi-energy CT via a sparsity-dictionary approach for proton stopping power ratio calculation.
Shen C; Li B; Chen L; Yang M; Lou Y; Jia X
Med Phys; 2018 Apr; 45(4):1491-1503. PubMed ID: 29405340
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
