131 related articles for article (PubMed ID: 32014379)
1. Evaluation of the effect of user-guided deformable image registration of thoracic images on registration accuracy among users.
Nakajima Y; Kadoya N; Kanai T; Saito M; Kito S; Hashimoto S; Karasawa K; Jingu K
Med Dosim; 2020 Autumn; 45(3):206-212. PubMed ID: 32014379
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Multi-institutional Validation Study of Commercially Available Deformable Image Registration Software for Thoracic Images.
Kadoya N; Nakajima Y; Saito M; Miyabe Y; Kurooka M; Kito S; Fujita Y; Sasaki M; Arai K; Tani K; Yagi M; Wakita A; Tohyama N; Jingu K
Int J Radiat Oncol Biol Phys; 2016 Oct; 96(2):422-431. PubMed ID: 27475673
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of the tool "Reg Refine" for user-guided deformable image registration.
Johnson PB; Padgett KR; Chen KL; Dogan N
J Appl Clin Med Phys; 2016 May; 17(3):158-170. PubMed ID: 27167273
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. [Evaluation of Accuracy of Deformable Image Registration with Newly Developed Treatment Planning Support Software for Thoracic Images].
Takahashi H; Kadoya N; Katsuta Y; Tanaka S; Arai K; Yamamoto T; Umezawa R; Jingu K
Nihon Hoshasen Gijutsu Gakkai Zasshi; 2022 Oct; 78(10):1187-1193. PubMed ID: 36002256
[TBL] [Abstract][Full Text] [Related]
7. Geometric and dosimetric accuracy of deformable image registration between average-intensity images for 4DCT-based adaptive radiotherapy for non-small cell lung cancer.
He Y; Cazoulat G; Wu C; Peterson C; McCulloch M; Anderson B; Pollard-Larkin J; Balter P; Liao Z; Mohan R; Brock K
J Appl Clin Med Phys; 2021 Aug; 22(8):156-167. PubMed ID: 34310827
[TBL] [Abstract][Full Text] [Related]
8. Detection of vessel bifurcations in CT scans for automatic objective assessment of deformable image registration accuracy.
Cazoulat G; Anderson BM; McCulloch MM; Rigaud B; Koay EJ; Brock KK
Med Phys; 2021 Oct; 48(10):5935-5946. PubMed ID: 34390007
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Quantification of organ motion based on an adaptive image-based scale invariant feature method.
Paganelli C; Peroni M; Baroni G; Riboldi M
Med Phys; 2013 Nov; 40(11):111701. PubMed ID: 24320409
[TBL] [Abstract][Full Text] [Related]
11. Evaluation of various deformable image registration algorithms for thoracic images.
Kadoya N; Fujita Y; Katsuta Y; Dobashi S; Takeda K; Kishi K; Kubozono M; Umezawa R; Sugawara T; Matsushita H; Jingu K
J Radiat Res; 2014 Jan; 55(1):175-82. PubMed ID: 23869025
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Impact of deformable image registration accuracy on thoracic images with different regularization weight parameter settings.
Miura H; Ozawa S; Nakao M; Furukawa K; Doi Y; Kawabata H; Kenjou M; Nagata Y
Phys Med; 2017 Oct; 42():108-111. PubMed ID: 29173902
[TBL] [Abstract][Full Text] [Related]
14. Optimization of mesh generation for geometric accuracy, robustness, and efficiency of biomechanical-model-based deformable image registration.
He Y; Anderson BM; Cazoulat G; Rigaud B; Almodovar-Abreu L; Pollard-Larkin J; Balter P; Liao Z; Mohan R; Odisio B; Svensson S; Brock KK
Med Phys; 2023 Jan; 50(1):323-329. PubMed ID: 35978544
[TBL] [Abstract][Full Text] [Related]
15. Structure guided deformable image registration for treatment planning CT and post stereotactic body radiation therapy (SBRT) Primovist
Kuznetsova S; Grendarova P; Roy S; Sinha R; Thind K; Ploquin N
J Appl Clin Med Phys; 2019 Dec; 20(12):109-118. PubMed ID: 31755658
[TBL] [Abstract][Full Text] [Related]
16. Quadratic penalty method for intensity-based deformable image registration and 4DCT lung motion recovery.
Castillo E
Med Phys; 2019 May; 46(5):2194-2203. PubMed ID: 30801729
[TBL] [Abstract][Full Text] [Related]
17. Evaluation of a commercial DIR platform for contour propagation in prostate cancer patients treated with IMRT/VMAT.
Hammers JE; Pirozzi S; Lindsay D; Kaidar-Person O; Tan X; Chen RC; Das SK; Mavroidis P
J Appl Clin Med Phys; 2020 Feb; 21(2):14-25. PubMed ID: 32058663
[TBL] [Abstract][Full Text] [Related]
18. Robust HU-based CT ventilation from an integrated mass conservation formulation.
Castillo E; Vinogradskiy Y; Castillo R
Med Phys; 2019 Nov; 46(11):5036-5046. PubMed ID: 31514235
[TBL] [Abstract][Full Text] [Related]
19. Prognostic factors associated with the accuracy of deformable image registration in lung cancer patients treated with stereotactic body radiotherapy.
Sugawara Y; Tachibana H; Kadoya N; Kitamura N; Sawant A; Jingu K
Med Dosim; 2017 Winter; 42(4):326-333. PubMed ID: 28802976
[TBL] [Abstract][Full Text] [Related]
20. Representing the dosimetric impact of deformable image registration errors.
Vickress J; Battista J; Barnett R; Yartsev S
Phys Med Biol; 2017 Aug; 62(17):N391-N403. PubMed ID: 28800299
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
