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Items: 1 to 20 of 206

1.
2.

A method for deriving a 4D-interpolated balanced planning target for mobile tumor radiotherapy.

Roland T, Hales R, McNutt T, Wong J, Simari P, Tryggestad E.

Med Phys. 2012 Jan;39(1):195-205. doi: 10.1118/1.3666774.

PMID:
22225288
3.

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 21;57(22):7579-98. doi: 10.1088/0031-9155/57/22/7579. Epub 2012 Oct 26.

PMID:
23103415
4.

Planning study comparison of real-time target tracking and four-dimensional inverse planning for managing patient respiratory motion.

Zhang P, Hugo GD, Yan D.

Int J Radiat Oncol Biol Phys. 2008 Nov 15;72(4):1221-7. doi: 10.1016/j.ijrobp.2008.07.025.

PMID:
18954716
5.

Clinical implementation of target tracking by breathing synchronized delivery.

Tewatia D, Zhang T, Tome W, Paliwal B, Metha M.

Med Phys. 2006 Nov;33(11):4330-6.

PMID:
17153412
6.

Dosimetric comparison of stereotactic body radiotherapy using 4D CT and multiphase CT images for treatment planning of lung cancer: evaluation of the impact on daily dose coverage.

Wang L, Hayes S, Paskalev K, Jin L, Buyyounouski MK, Ma CC, Feigenberg S.

Radiother Oncol. 2009 Jun;91(3):314-24. doi: 10.1016/j.radonc.2008.11.018. Epub 2008 Dec 26.

PMID:
19111362
8.

Modeling respiratory motion for reducing motion artifacts in 4D CT images.

Zhang Y, Yang J, Zhang L, Court LE, Balter PA, Dong L.

Med Phys. 2013 Apr;40(4):041716. doi: 10.1118/1.4795133. Erratum in: Med Phys. 2015 Nov;42(11):6768.

PMID:
23556886
10.

Four-dimensional IMRT treatment planning using a DMLC motion-tracking algorithm.

Suh Y, Sawant A, Venkat R, Keall PJ.

Phys Med Biol. 2009 Jun 21;54(12):3821-35. doi: 10.1088/0031-9155/54/12/014. Epub 2009 May 28.

PMID:
19478383
11.

Four-dimensional tissue deformation reconstruction (4D TDR) validation using a real tissue phantom.

Szegedi M, Hinkle J, Rassiah P, Sarkar V, Wang B, Joshi S, Salter B.

J Appl Clin Med Phys. 2013 Jan 7;14(1):4012. doi: 10.1120/jacmp.v14i1.4012.

PMID:
23318387
12.
13.
14.

Estimation of the delivered patient dose in lung IMRT treatment based on deformable registration of 4D-CT data and Monte Carlo simulations.

Flampouri S, Jiang SB, Sharp GC, Wolfgang J, Patel AA, Choi NC.

Phys Med Biol. 2006 Jun 7;51(11):2763-79. Epub 2006 May 17.

PMID:
16723765
15.

IMRT treatment planning on 4D geometries for the era of dynamic MLC tracking.

Suh Y, Murray W, Keall PJ.

Technol Cancer Res Treat. 2014 Dec;13(6):505-15. doi: 10.7785/tcrtexpress.2013.600276. Epub 2013 Dec 17.

16.

Respiratory motion sampling in 4DCT reconstruction for radiotherapy.

Chi Y, Liang J, Qin X, Yan D.

Med Phys. 2012 Apr;39(4):1696-703. doi: 10.1118/1.3691174.

PMID:
22482595
17.

Mapping motion from 4D-MRI to 3D-CT for use in 4D dose calculations: a technical feasibility study.

Boye D, Lomax T, Knopf A.

Med Phys. 2013 Jun;40(6):061702. doi: 10.1118/1.4801914.

PMID:
23718581
18.

Clinical evaluations of an amplitude-based binning algorithm for 4DCT reconstruction in radiation therapy.

Li H, Noel C, Garcia-Ramirez J, Low D, Bradley J, Robinson C, Mutic S, Parikh P.

Med Phys. 2012 Feb;39(2):922-32. doi: 10.1118/1.3679015.

PMID:
22320802
19.

Lung deformation estimation and four-dimensional CT lung reconstruction.

Xu S, Taylor RH, Fichtinger G, Cleary K.

Acad Radiol. 2006 Sep;13(9):1082-92.

PMID:
16935720
20.

Investigation of simple IMRT delivery techniques for non-small cell lung cancer patients with respiratory motion using 4DCT.

Reitz B, Parda DS, Colonias A, Lee V, Miften M.

Med Dosim. 2009 Summer;34(2):158-69. doi: 10.1016/j.meddos.2008.07.001. Epub 2008 Aug 12.

PMID:
19410146
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