176 related articles for article (PubMed ID: 32772377)
1. Feasibility study of patient-specific dose verification in proton therapy utilizing positron emission tomography (PET) and generative adversarial network (GAN).
Ma S; Hu Z; Ye K; Zhang X; Wang Y; Peng H
Med Phys; 2020 Oct; 47(10):5194-5208. PubMed ID: 32772377
[TBL] [Abstract][Full Text] [Related]
2. A machine learning framework with anatomical prior for online dose verification using positron emitters and PET in proton therapy.
Hu Z; Li G; Zhang X; Ye K; Lu J; Peng H
Phys Med Biol; 2020 Sep; 65(18):185003. PubMed ID: 32460246
[TBL] [Abstract][Full Text] [Related]
3. Dose calculation in proton therapy using a discovery cross-domain generative adversarial network (DiscoGAN).
Zhang X; Hu Z; Zhang G; Zhuang Y; Wang Y; Peng H
Med Phys; 2021 May; 48(5):2646-2660. PubMed ID: 33594673
[TBL] [Abstract][Full Text] [Related]
4. Technical Note: Machine learning approaches for range and dose verification in proton therapy using proton-induced positron emitters.
Li Z; Wang Y; Yu Y; Fan K; Xing L; Peng H
Med Phys; 2019 Dec; 46(12):5748-5757. PubMed ID: 31529506
[TBL] [Abstract][Full Text] [Related]
5. Range and dose verification in proton therapy using proton-induced positron emitters and recurrent neural networks (RNNs).
Liu C; Li Z; Hu W; Xing L; Peng H
Phys Med Biol; 2019 Sep; 64(17):175009. PubMed ID: 31342940
[TBL] [Abstract][Full Text] [Related]
6. Feasibility study of using fall-off gradients of early and late PET scans for proton range verification.
Cho J; Grogg K; Min CH; Zhu X; Paganetti H; Lee HC; El Fakhri G
Med Phys; 2017 May; 44(5):1734-1746. PubMed ID: 28273345
[TBL] [Abstract][Full Text] [Related]
7. An experimental approach to improve the Monte Carlo modelling of offline PET/CT-imaging of positron emitters induced by scanned proton beams.
Bauer J; Unholtz D; Kurz C; Parodi K
Phys Med Biol; 2013 Aug; 58(15):5193-213. PubMed ID: 23835872
[TBL] [Abstract][Full Text] [Related]
8. Determination of elemental tissue composition following proton treatment using positron emission tomography.
Cho J; Ibbott G; Gillin M; Gonzalez-Lepera C; Min CH; Zhu X; El Fakhri G; Paganetti H; Mawlawi O
Phys Med Biol; 2013 Jun; 58(11):3815-35. PubMed ID: 23681070
[TBL] [Abstract][Full Text] [Related]
9. The impact of uncertainties in the CT conversion algorithm when predicting proton beam ranges in patients from dose and PET-activity distributions.
España S; Paganetti H
Phys Med Biol; 2010 Dec; 55(24):7557-71. PubMed ID: 21098912
[TBL] [Abstract][Full Text] [Related]
10. Feasibility study of range verification based on proton-induced acoustic signals and recurrent neural network.
Yao S; Hu Z; Zhang X; Lou E; Liang Z; Wang Y; Peng H
Phys Med Biol; 2020 Nov; 65(21):215017. PubMed ID: 32726760
[TBL] [Abstract][Full Text] [Related]
11. Automation and uncertainty analysis of a method for in-vivo range verification in particle therapy.
Frey K; Unholtz D; Bauer J; Debus J; Min CH; Bortfeld T; Paganetti H; Parodi K
Phys Med Biol; 2014 Oct; 59(19):5903-19. PubMed ID: 25211629
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Monte Carlo patient study on the comparison of prompt gamma and PET imaging for range verification in proton therapy.
Moteabbed M; España S; Paganetti H
Phys Med Biol; 2011 Feb; 56(4):1063-82. PubMed ID: 21263174
[TBL] [Abstract][Full Text] [Related]
14. Further investigation of 3D dose verification in proton therapy utilizing acoustic signal, wavelet decomposition and machine learning.
Yao S; Hu Z; Xie Q; Yang Y; Peng H
Biomed Phys Eng Express; 2021 Nov; 8(1):. PubMed ID: 34768245
[TBL] [Abstract][Full Text] [Related]
15. Quantitative assessment of the physical potential of proton beam range verification with PET/CT.
Knopf A; Parodi K; Paganetti H; Cascio E; Bonab A; Bortfeld T
Phys Med Biol; 2008 Aug; 53(15):4137-51. PubMed ID: 18635897
[TBL] [Abstract][Full Text] [Related]
16. Modified fast adaptive scatter kernel superposition (mfASKS) correction and its dosimetric impact on CBCT-based proton therapy dose calculation.
Nomura Y; Xu Q; Peng H; Takao S; Shimizu S; Xing L; Shirato H
Med Phys; 2020 Jan; 47(1):190-200. PubMed ID: 31661161
[TBL] [Abstract][Full Text] [Related]
17. Imaging of prompt gamma rays emitted during delivery of clinical proton beams with a Compton camera: feasibility studies for range verification.
Polf JC; Avery S; Mackin DS; Beddar S
Phys Med Biol; 2015 Sep; 60(18):7085-99. PubMed ID: 26317610
[TBL] [Abstract][Full Text] [Related]
18. ML-EM algorithm for dose estimation using PET in proton therapy.
Masuda T; Nishio T; Kataoka J; Arimoto M; Sano A; Karasawa K
Phys Med Biol; 2019 Sep; 64(17):175011. PubMed ID: 31307027
[TBL] [Abstract][Full Text] [Related]
19. PET/CT imaging for treatment verification after proton therapy: a study with plastic phantoms and metallic implants.
Parodi K; Paganetti H; Cascio E; Flanz JB; Bonab AA; Alpert NM; Lohmann K; Bortfeld T
Med Phys; 2007 Feb; 34(2):419-35. PubMed ID: 17388158
[TBL] [Abstract][Full Text] [Related]
20. An inception network for positron emission tomography based dose estimation in carbon ion therapy.
Rutherford H; Saha Turai R; Chacon A; Franklin DR; Mohammadi A; Tashima H; Yamaya T; Parodi K; Rosenfeld AB; Guatelli S; Safavi-Naeini M
Phys Med Biol; 2022 Sep; 67(19):. PubMed ID: 35947996
[No Abstract] [Full Text] [Related]
[Next] [New Search]
