145 related articles for article (PubMed ID: 38547402)
1. A model that predicts a real-time tumour surface using intra-treatment skin surface and end-of-expiration and end-of-inhalation planning CT images.
Wei Z; Huang X; Sun A; Peng L; Lou Z; Hu Z; Wang H; Xing L; Yu J; Qian J
Br J Radiol; 2024 May; 97(1157):980-992. PubMed ID: 38547402
[TBL] [Abstract][Full Text] [Related]
2. Deep learning-based synthetization of real-time in-treatment 4D images using surface motion and pretreatment images: A proof-of-concept study.
Huang Y; Dong Z; Wu H; Li C; Liu H; Zhang Y
Med Phys; 2022 Nov; 49(11):7016-7024. PubMed ID: 35833590
[TBL] [Abstract][Full Text] [Related]
3. An adversarial machine learning framework and biomechanical model-guided approach for computing 3D lung tissue elasticity from end-expiration 3DCT.
Santhanam AP; Stiehl B; Lauria M; Hasse K; Barjaktarevic I; Goldin J; Low DA
Med Phys; 2021 Feb; 48(2):667-675. PubMed ID: 32449519
[TBL] [Abstract][Full Text] [Related]
4. Improving image-guided radiation therapy of lung cancer by reconstructing 4D-CT from a single free-breathing 3D-CT on the treatment day.
Wu G; Lian J; Shen D
Med Phys; 2012 Dec; 39(12):7694-709. PubMed ID: 23231317
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of 4-dimensional computed tomography to 4-dimensional cone-beam computed tomography deformable image registration for lung cancer adaptive radiation therapy.
Balik S; Weiss E; Jan N; Roman N; Sleeman WC; Fatyga M; Christensen GE; Zhang C; Murphy MJ; Lu J; Keall P; Williamson JF; Hugo GD
Int J Radiat Oncol Biol Phys; 2013 Jun; 86(2):372-9. PubMed ID: 23462422
[TBL] [Abstract][Full Text] [Related]
6. New algorithm to simulate organ movement and deformation for four-dimensional dose calculation based on a three-dimensional CT and fluoroscopy of the thorax.
Miyabe Y; Narita Y; Mizowaki T; Matsuo Y; Takayama K; Takahashi K; Kaneko S; Kawada N; Maruhashi A; Hiraoka M
Med Phys; 2009 Oct; 36(10):4328-39. PubMed ID: 19928063
[TBL] [Abstract][Full Text] [Related]
7. A patient-specific respiratory model of anatomical motion for radiation treatment planning.
Zhang Q; Pevsner A; Hertanto A; Hu YC; Rosenzweig KE; Ling CC; Mageras GS
Med Phys; 2007 Dec; 34(12):4772-81. PubMed ID: 18196805
[TBL] [Abstract][Full Text] [Related]
8. Mid-ventilation CT scan construction from four-dimensional respiration-correlated CT scans for radiotherapy planning of lung cancer patients.
Wolthaus JW; Schneider C; Sonke JJ; van Herk M; Belderbos JS; Rossi MM; Lebesque JV; Damen EM
Int J Radiat Oncol Biol Phys; 2006 Aug; 65(5):1560-71. PubMed ID: 16863933
[TBL] [Abstract][Full Text] [Related]
9. A Method for Assessing Ground-Truth Accuracy of the 5DCT Technique.
Dou TH; Thomas DH; O'Connell DP; Lamb JM; Lee P; Low DA
Int J Radiat Oncol Biol Phys; 2015 Nov; 93(4):925-33. PubMed ID: 26530763
[TBL] [Abstract][Full Text] [Related]
10. A 4D global respiratory motion model of the thorax based on CT images: A proof of concept.
Fayad H; Gilles M; Pan T; Visvikis D
Med Phys; 2018 Jul; 45(7):3043-3051. PubMed ID: 29772057
[TBL] [Abstract][Full Text] [Related]
11. Investigation of respiration induced intra- and inter-fractional tumour motion using a standard Cone Beam CT.
Gottlieb KL; Hansen CR; Hansen O; Westberg J; Brink C
Acta Oncol; 2010 Oct; 49(7):1192-8. PubMed ID: 20831512
[TBL] [Abstract][Full Text] [Related]
12. 4D VMAT, gated VMAT, and 3D VMAT for stereotactic body radiation therapy in lung.
Chin E; Loewen SK; Nichol A; Otto K
Phys Med Biol; 2013 Feb; 58(4):749-70. PubMed ID: 23324560
[TBL] [Abstract][Full Text] [Related]
13. Registration of clinical volumes to beams-eye-view images for real-time tracking.
Bryant JH; Rottmann J; Lewis JH; Mishra P; Keall PJ; Berbeco RI
Med Phys; 2014 Dec; 41(12):121703. PubMed ID: 25471950
[TBL] [Abstract][Full Text] [Related]
14. Intrathoracic tumour motion estimation from CT imaging using the 3D optical flow method.
Guerrero T; Zhang G; Huang TC; Lin KP
Phys Med Biol; 2004 Sep; 49(17):4147-61. PubMed ID: 15470929
[TBL] [Abstract][Full Text] [Related]
15. The effect of respiratory motion variability and tumor size on the accuracy of average intensity projection from four-dimensional computed tomography: an investigation based on dynamic MRI.
Cai J; Read PW; Sheng K
Med Phys; 2008 Nov; 35(11):4974-81. PubMed ID: 19070231
[TBL] [Abstract][Full Text] [Related]
16. Joint surface reconstruction and 4D deformation estimation from sparse data and prior knowledge for marker-less Respiratory motion tracking.
Berkels B; Bauer S; Ettl S; Arold O; Hornegger J; Rumpf M
Med Phys; 2013 Sep; 40(9):091703. PubMed ID: 24007136
[TBL] [Abstract][Full Text] [Related]
17. Tumor tracking method based on a deformable 4D CT breathing motion model driven by an external surface surrogate.
Fassi A; Schaerer J; Fernandes M; Riboldi M; Sarrut D; Baroni G
Int J Radiat Oncol Biol Phys; 2014 Jan; 88(1):182-8. PubMed ID: 24331665
[TBL] [Abstract][Full Text] [Related]
18. Imaging and dosimetric errors in 4D PET/CT-guided radiotherapy from patient-specific respiratory patterns: a dynamic motion phantom end-to-end study.
Bowen SR; Nyflot MJ; Herrmann C; Groh CM; Meyer J; Wollenweber SD; Stearns CW; Kinahan PE; Sandison GA
Phys Med Biol; 2015 May; 60(9):3731-46. PubMed ID: 25884892
[TBL] [Abstract][Full Text] [Related]
19. The relative accuracy of 4D dose accumulation for lung radiotherapy using rigid dose projection versus dose recalculation on every breathing phase.
Valdes G; Lee C; Tenn S; Lee P; Robinson C; Iwamoto K; Low D; Lamb JM
Med Phys; 2017 Mar; 44(3):1120-1127. PubMed ID: 28019649
[TBL] [Abstract][Full Text] [Related]
20. Simulation of range imaging-based estimation of respiratory lung motion. Influence of noise, signal dimensionality and sampling patterns.
Wilms M; Werner R; Blendowski M; Ortmüller J; Handels H
Methods Inf Med; 2014; 53(4):257-63. PubMed ID: 24993030
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
