180 related articles for article (PubMed ID: 35088515)
1. Vulnerabilities of radiomic features to respiratory motion on four-dimensional computed tomography-based average intensity projection images: A phantom study.
Adachi T; Nagasawa R; Nakamura M; Kakino R; Mizowaki T
J Appl Clin Med Phys; 2022 Mar; 23(3):e13498. PubMed ID: 35088515
[TBL] [Abstract][Full Text] [Related]
2. The impact of respiratory motion and CT pitch on the robustness of radiomics feature extraction in 4DCT lung imaging.
Li X; Chen E; Guo B; Yang W; Han R; Hu C; Zhang L; Pan C; Ma S; Kuang Y
Comput Methods Programs Biomed; 2020 Dec; 197():105719. PubMed ID: 32916542
[TBL] [Abstract][Full Text] [Related]
3. Spatial-temporal variability of radiomic features and its effect on the classification of lung cancer histology.
Lafata K; Cai J; Wang C; Hong J; Kelsey CR; Yin FF
Phys Med Biol; 2018 Nov; 63(22):225003. PubMed ID: 30272571
[TBL] [Abstract][Full Text] [Related]
4. The effect of irregular breathing patterns on internal target volumes in four-dimensional CT and cone-beam CT images in the context of stereotactic lung radiotherapy.
Clements N; Kron T; Franich R; Dunn L; Roxby P; Aarons Y; Chesson B; Siva S; Duplan D; Ball D
Med Phys; 2013 Feb; 40(2):021904. PubMed ID: 23387752
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of the cone beam CT for internal target volume localization in lung stereotactic radiotherapy in comparison with 4D MIP images.
Wang L; Chen X; Lin MH; Xue J; Lin T; Fan J; Jin L; Ma CM
Med Phys; 2013 Nov; 40(11):111709. PubMed ID: 24320417
[TBL] [Abstract][Full Text] [Related]
6. Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRT.
Huynh E; Coroller TP; Narayan V; Agrawal V; Romano J; Franco I; Parmar C; Hou Y; Mak RH; Aerts HJ
PLoS One; 2017; 12(1):e0169172. PubMed ID: 28046060
[TBL] [Abstract][Full Text] [Related]
7. Use of megavoltage cine-images for studying intra-thoracic motion during radiotherapy for locally advanced lung cancer.
Muirhead R; van der Weide L; van Sornsen de Koste JR; Cover KS; Senan S
Radiother Oncol; 2011 May; 99(2):155-60. PubMed ID: 21621867
[TBL] [Abstract][Full Text] [Related]
8. Target localization accuracy in a respiratory phantom using BrainLAB ExacTrac and 4DCT imaging.
Matney JE; Parker BC; Neck DW; Henkelmann G; Rosen II
J Appl Clin Med Phys; 2011 Mar; 12(2):3296. PubMed ID: 21587171
[TBL] [Abstract][Full Text] [Related]
9. Phantom and clinical study of differences in cone beam computed tomographic registration when aligned to maximum and average intensity projection.
Shirai K; Nishiyama K; Katsuda T; Teshima T; Ueda Y; Miyazaki M; Tsujii K
Int J Radiat Oncol Biol Phys; 2014 Jan; 88(1):189-94. PubMed ID: 24331666
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 3D delivered dose assessment using a 4DCT-based motion model.
Cai W; Hurwitz MH; Williams CL; Dhou S; Berbeco RI; Seco J; Mishra P; Lewis JH
Med Phys; 2015 Jun; 42(6):2897-907. PubMed ID: 26127043
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Simulation of dosimetry impact of 4DCT uncertainty in 4D dose calculation for lung SBRT.
Liu G; Hu F; Ding X; Li X; Shao Q; Wang Y; Yang J; Quan H
Radiat Oncol; 2019 Jan; 14(1):1. PubMed ID: 30621744
[TBL] [Abstract][Full Text] [Related]
14. Variation in target volume and centroid position due to breath holding during four-dimensional computed tomography scanning: A phantom study.
Miyamae Y; Akimoto M; Sasaki M; Fujimoto T; Yano S; Nakamura M
J Appl Clin Med Phys; 2020 Jan; 21(1):11-17. PubMed ID: 31385421
[TBL] [Abstract][Full Text] [Related]
15. Moving targets in 4D-CTs versus MIP and AIP: comparison of patients data to phantom data.
Borm KJ; Oechsner M; Wiegandt M; Hofmeister A; Combs SE; Duma MN
BMC Cancer; 2018 Jul; 18(1):760. PubMed ID: 30041618
[TBL] [Abstract][Full Text] [Related]
16. Craniocaudal safety margin calculation based on interfractional changes in tumor motion in lung SBRT assessed with an EPID in cine mode.
Ueda Y; Miyazaki M; Nishiyama K; Suzuki O; Tsujii K; Miyagi K
Int J Radiat Oncol Biol Phys; 2012 Jul; 83(3):1064-9. PubMed ID: 22245190
[TBL] [Abstract][Full Text] [Related]
17. A longitudinal four-dimensional computed tomography and cone beam computed tomography dataset for image-guided radiation therapy research in lung cancer.
Hugo GD; Weiss E; Sleeman WC; Balik S; Keall PJ; Lu J; Williamson JF
Med Phys; 2017 Feb; 44(2):762-771. PubMed ID: 27991677
[TBL] [Abstract][Full Text] [Related]
18. 4DCT and VMAT for lung patients with irregular breathing.
Caines R; Sisson NK; Rowbottom CG
J Appl Clin Med Phys; 2022 Jan; 23(1):e13453. PubMed ID: 34816564
[TBL] [Abstract][Full Text] [Related]
19. Dynamic volume vs respiratory correlated 4DCT for motion assessment in radiation therapy simulation.
Coolens C; Bracken J; Driscoll B; Hope A; Jaffray D
Med Phys; 2012 May; 39(5):2669-81. PubMed ID: 22559637
[TBL] [Abstract][Full Text] [Related]
20. 4DCT imaging to assess radiomics feature stability: An investigation for thoracic cancers.
Larue RTHM; Van De Voorde L; van Timmeren JE; Leijenaar RTH; Berbée M; Sosef MN; Schreurs WMJ; van Elmpt W; Lambin P
Radiother Oncol; 2017 Oct; 125(1):147-153. PubMed ID: 28797700
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]