155 related articles for article (PubMed ID: 37708440)
21. Use of lung treatment plans to evaluate DIR algorithms.
Jurkovic IA; Stathakis S; Li Y; Patel A; Vincent J; Papanikolaou N; Mavroidis P
Australas Phys Eng Sci Med; 2018 Dec; 41(4):837-845. PubMed ID: 30144019
[TBL] [Abstract][Full Text] [Related]
22. A hybrid biomechanical intensity based deformable image registration of lung 4DCT.
Samavati N; Velec M; Brock K
Phys Med Biol; 2015 Apr; 60(8):3359-73. PubMed ID: 25830808
[TBL] [Abstract][Full Text] [Related]
23. A multivariable study of deformable image registration evaluation metrics in 4DCT of thoracic cancer patients.
Juan-Cruz C; Fast MF; Sonke JJ
Phys Med Biol; 2021 Jan; 66(3):035019. PubMed ID: 33227717
[TBL] [Abstract][Full Text] [Related]
24. Robust CT ventilation from the integral formulation of the Jacobian.
Castillo E; Castillo R; Vinogradskiy Y; Dougherty M; Solis D; Myziuk N; Thompson A; Guerra R; Nair G; Guerrero T
Med Phys; 2019 May; 46(5):2115-2125. PubMed ID: 30779353
[TBL] [Abstract][Full Text] [Related]
25. An unsupervised image registration method employing chest computed tomography images and deep neural networks.
Ho TT; Kim WJ; Lee CH; Jin GY; Chae KJ; Choi S
Comput Biol Med; 2023 Mar; 154():106612. PubMed ID: 36738711
[TBL] [Abstract][Full Text] [Related]
26. A multi-scale framework with unsupervised joint training of convolutional neural networks for pulmonary deformable image registration.
Jiang Z; Yin FF; Ge Y; Ren L
Phys Med Biol; 2020 Jan; 65(1):015011. PubMed ID: 31783390
[TBL] [Abstract][Full Text] [Related]
27. The evaluation of a hybrid biomechanical deformable registration method on a multistage physical phantom with reproducible deformation.
Qin A; Ionascu D; Liang J; Han X; O'Connell N; Yan D
Radiat Oncol; 2018 Dec; 13(1):240. PubMed ID: 30514348
[TBL] [Abstract][Full Text] [Related]
28. Evaluating the accuracy of 4D-CT ventilation imaging: First comparison with Technegas SPECT ventilation.
Hegi-Johnson F; Keall P; Barber J; Bui C; Kipritidis J
Med Phys; 2017 Aug; 44(8):4045-4055. PubMed ID: 28477378
[TBL] [Abstract][Full Text] [Related]
29. A method to detect landmark pairs accurately between intra-patient volumetric medical images.
Yang D; Zhang M; Chang X; Fu Y; Liu S; Li HH; Mutic S; Duan Y
Med Phys; 2017 Nov; 44(11):5859-5872. PubMed ID: 28834555
[TBL] [Abstract][Full Text] [Related]
30. Four-dimensional computed tomography pulmonary ventilation images vary with deformable image registration algorithms and metrics.
Yamamoto T; Kabus S; Klinder T; von Berg J; Lorenz C; Loo BW; Keall PJ
Med Phys; 2011 Mar; 38(3):1348-58. PubMed ID: 21520845
[TBL] [Abstract][Full Text] [Related]
31. Deformable registration of magnetic resonance images using unsupervised deep learning in neuro-/radiation oncology.
Osman AFI; Al-Mugren KS; Tamam NM; Shahine B
Radiat Oncol; 2024 May; 19(1):61. PubMed ID: 38773620
[TBL] [Abstract][Full Text] [Related]
32. Validation of three deformable image registration algorithms for the thorax.
Latifi K; Zhang G; Stawicki M; van Elmpt W; Dekker A; Forster K
J Appl Clin Med Phys; 2013 Jan; 14(1):3834. PubMed ID: 23318377
[TBL] [Abstract][Full Text] [Related]
33. Technical note: Towards more realistic 4DCT(MRI) numerical lung phantoms.
Jenny T; Duetschler A; Giger A; Pusterla O; Safai S; Weber DC; Lomax AJ; Zhang Y
Med Phys; 2024 Jan; 51(1):579-590. PubMed ID: 37166067
[TBL] [Abstract][Full Text] [Related]
34. A novel four-dimensional radiotherapy planning strategy from a tumor-tracking beam's eye view.
Li G; Cohen P; Xie H; Low D; Li D; Rimner A
Phys Med Biol; 2012 Nov; 57(22):7579-98. PubMed ID: 23103415
[TBL] [Abstract][Full Text] [Related]
35. Estimating lung ventilation directly from 4D CT Hounsfield unit values.
Kipritidis J; Hofman MS; Siva S; Callahan J; Le Roux PY; Woodruff HC; Counter WB; Keall PJ
Med Phys; 2016 Jan; 43(1):33. PubMed ID: 26745897
[TBL] [Abstract][Full Text] [Related]
36. Evaluation of accuracy of B-spline transformation-based deformable image registration with different parameter settings for thoracic images.
Kanai T; Kadoya N; Ito K; Onozato Y; Cho SY; Kishi K; Dobashi S; Umezawa R; Matsushita H; Takeda K; Jingu K
J Radiat Res; 2014 Nov; 55(6):1163-70. PubMed ID: 25053349
[TBL] [Abstract][Full Text] [Related]
37. Accuracy of deformable image registration techniques for alignment of longitudinal cholangiocarcinoma CT images.
Sen A; Anderson BM; Cazoulat G; McCulloch MM; Elganainy D; McDonald BA; He Y; Mohamed ASR; Elgohari BA; Zaid M; Koay EJ; Brock KK
Med Phys; 2020 Apr; 47(4):1670-1679. PubMed ID: 31958147
[TBL] [Abstract][Full Text] [Related]
38. The VAMPIRE challenge: A multi-institutional validation study of CT ventilation imaging.
Kipritidis J; Tahir BA; Cazoulat G; Hofman MS; Siva S; Callahan J; Hardcastle N; Yamamoto T; Christensen GE; Reinhardt JM; Kadoya N; Patton TJ; Gerard SE; Duarte I; Archibald-Heeren B; Byrne M; Sims R; Ramsay S; Booth JT; Eslick E; Hegi-Johnson F; Woodruff HC; Ireland RH; Wild JM; Cai J; Bayouth JE; Brock K; Keall PJ
Med Phys; 2019 Mar; 46(3):1198-1217. PubMed ID: 30575051
[TBL] [Abstract][Full Text] [Related]
39. ORRN: An ODE-Based Recursive Registration Network for Deformable Respiratory Motion Estimation With Lung 4DCT Images.
Liang X; Lin S; Liu F; Schreiber D; Yip M
IEEE Trans Biomed Eng; 2023 Dec; 70(12):3265-3276. PubMed ID: 37279120
[TBL] [Abstract][Full Text] [Related]
40. Inter-fraction deformable image registration using unsupervised deep learning for CBCT-guided abdominal radiotherapy.
Xie H; Lei Y; Fu Y; Wang T; Roper J; Bradley JD; Patel P; Liu T; Yang X
Phys Med Biol; 2023 Apr; 68(9):. PubMed ID: 36958049
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]