83 related articles for article (PubMed ID: 20831491)
1. Propagation of target and organ at risk contours in radiotherapy of prostate cancer using deformable image registration.
Thörnqvist S; Petersen JB; Høyer M; Bentzen LN; Muren LP
Acta Oncol; 2010 Oct; 49(7):1023-32. PubMed ID: 20831491
[TBL] [Abstract][Full Text] [Related]
2. Registering prostate external beam radiotherapy with a boost from high-dose-rate brachytherapy: a comparative evaluation of deformable registration algorithms.
Moulton CR; House MJ; Lye V; Tang CI; Krawiec M; Joseph DJ; Denham JW; Ebert MA
Radiat Oncol; 2015 Dec; 10():254. PubMed ID: 26666538
[TBL] [Abstract][Full Text] [Related]
3. Deep-learning-based joint rigid and deformable contour propagation for magnetic resonance imaging-guided prostate radiotherapy.
Kolenbrander ID; Maspero M; Hendriksen AA; Pollitt R; van der Voort van Zyp JRN; van den Berg CAT; Pluim JPW; van Eijnatten MAJM
Med Phys; 2024 Apr; 51(4):2367-2377. PubMed ID: 38408022
[TBL] [Abstract][Full Text] [Related]
4. Improving hybrid image and structure-based deformable image registration for large internal deformations.
Lorenzo Polo A; Nix M; Thompson C; O'Hara C; Entwisle J; Murray L; Appelt A; Weistrand O; Svensson S
Phys Med Biol; 2024 Apr; 69(9):. PubMed ID: 38518382
[No Abstract] [Full Text] [Related]
5. Clinical evaluation of the efficacy of limbus artificial intelligence software to augment contouring for prostate and nodes radiotherapy.
Starke A; Poxon J; Patel K; Wells P; Morris M; Rudd P; Tipples K; MacDougall N
Br J Radiol; 2024 May; 97(1158):1125-1131. PubMed ID: 38627245
[TBL] [Abstract][Full Text] [Related]
6. Development of an automated radiotherapy dose accumulation workflow for locally advanced high-risk prostate cancer - A technical report.
Ong A; Knight K; Panettieri V; Dimmock M; Tuan JKL; Tan HQ; Master Z; Wright C
J Med Radiat Sci; 2021 Jun; 68(2):203-210. PubMed ID: 33058720
[TBL] [Abstract][Full Text] [Related]
7. Fast contour propagation for MR-guided prostate radiotherapy using convolutional neural networks.
Eppenhof KAJ; Maspero M; Savenije MHF; de Boer JCJ; van der Voort van Zyp JRN; Raaymakers BW; Raaijmakers AJE; Veta M; van den Berg CAT; Pluim JPW
Med Phys; 2020 Mar; 47(3):1238-1248. PubMed ID: 31876300
[TBL] [Abstract][Full Text] [Related]
8. A prior-information-based automatic segmentation method for the clinical target volume in adaptive radiotherapy of cervical cancer.
Wang X; Chang Y; Pei X; Xu XG
J Appl Clin Med Phys; 2024 May; 25(5):e14350. PubMed ID: 38546277
[TBL] [Abstract][Full Text] [Related]
9. Atlas-guided prostate intensity modulated radiation therapy (IMRT) planning.
Sheng Y; Li T; Zhang Y; Lee WR; Yin FF; Ge Y; Wu QJ
Phys Med Biol; 2015 Sep; 60(18):7277-91. PubMed ID: 26348663
[TBL] [Abstract][Full Text] [Related]
10. Quality assurance assessment of intra-acquisition diffusion-weighted and T2-weighted magnetic resonance imaging registration and contour propagation for head and neck cancer radiotherapy.
Naser MA; Wahid KA; Ahmed S; Salama V; Dede C; Edwards BW; Lin R; McDonald B; Salzillo TC; He R; Ding Y; Abdelaal MA; Thill D; O'Connell N; Willcut V; Christodouleas JP; Lai SY; Fuller CD; Mohamed ASR
Med Phys; 2023 Apr; 50(4):2089-2099. PubMed ID: 36519973
[TBL] [Abstract][Full Text] [Related]
11. Semi-automated prediction approach of target shifts using machine learning with anatomical features between planning and pretreatment CT images in prostate radiotherapy.
Kai Y; Arimura H; Ninomiya K; Saito T; Shimohigashi Y; Kuraoka A; Maruyama M; Toya R; Oya N
J Radiat Res; 2020 Mar; 61(2):285-297. PubMed ID: 31994702
[TBL] [Abstract][Full Text] [Related]
12. Interactive multigrid refinement for deformable image registration.
Zhou W; Xie Y
Biomed Res Int; 2013; 2013():532936. PubMed ID: 24232828
[TBL] [Abstract][Full Text] [Related]
13. Automatic multiorgan segmentation in CT images of the male pelvis using region-specific hierarchical appearance cluster models.
Li D; Zang P; Chai X; Cui Y; Li R; Xing L
Med Phys; 2016 Oct; 43(10):5426. PubMed ID: 27782723
[TBL] [Abstract][Full Text] [Related]
14. Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy.
Wang F; Xu X; Yang D; Chen RC; Royce TJ; Wang A; Lian J; Lian C
IEEE Trans Med Imaging; 2023 Apr; 42(4):1046-1055. PubMed ID: 36399586
[TBL] [Abstract][Full Text] [Related]
15. Comparison of Two Deformable Registration Algorithms in the Presence of Radiologic Change Between Serial Lung CT Scans.
Cunliffe AR; White B; Justusson J; Straus C; Malik R; Al-Hallaq HA; Armato SG
J Digit Imaging; 2015 Dec; 28(6):755-60. PubMed ID: 25822396
[TBL] [Abstract][Full Text] [Related]
16. Analytic regularization for landmark-based image registration.
Shusharina N; Sharp G
Phys Med Biol; 2012 Mar; 57(6):1477-98. PubMed ID: 22390947
[TBL] [Abstract][Full Text] [Related]
17. Application of tolerance limits to the characterization of image registration performance.
Fedorov A; Wells WM; Kikinis R; Tempany CM; Vangel MG
IEEE Trans Med Imaging; 2014 Jul; 33(7):1541-50. PubMed ID: 24759985
[TBL] [Abstract][Full Text] [Related]
18. Three-dimensional MRI evaluation of the effect of bladder volume on prostate translocation and distortion.
Snoj Z; Gill AB; Rundo L; Sushentsev N; Barrett T
Radiol Oncol; 2020 Jan; 54(1):48-56. PubMed ID: 31940289
[TBL] [Abstract][Full Text] [Related]
19. Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy.
Wang S; Liu M; Lian J; Shen D
IEEE Trans Med Imaging; 2021 Jan; 40(1):310-320. PubMed ID: 32956051
[TBL] [Abstract][Full Text] [Related]
20. Rigid and Deformable Image Registration for Radiation Therapy: A Self-Study Evaluation Guide for NRG Oncology Clinical Trial Participation.
Rong Y; Rosu-Bubulac M; Benedict SH; Cui Y; Ruo R; Connell T; Kashani R; Latifi K; Chen Q; Geng H; Sohn J; Xiao Y
Pract Radiat Oncol; 2021; 11(4):282-298. PubMed ID: 33662576
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]