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Items: 1 to 20 of 148

2.

A neural network-based 2D/3D image registration quality evaluator for pediatric patient setup in external beam radiotherapy.

Wu J, Su Z, Li Z.

J Appl Clin Med Phys. 2016 Jan 8;17(1):22-33. doi: 10.1120/jacmp.v17i1.5235.

PMID:
26894329
3.

WE-E-213CD-10: A Robust 2D/3D Image Registration System for Pediatric Patient Setup in External Beam Radiotherapy.

Wu J, Su Z, Li Z.

Med Phys. 2012 Jun;39(6Part27):3961. doi: 10.1118/1.4736166.

PMID:
28520024
6.

Phantom validation of coregistration of PET and CT for image-guided radiotherapy.

Lavely WC, Scarfone C, Cevikalp H, Li R, Byrne DW, Cmelak AJ, Dawant B, Price RR, Hallahan DE, Fitzpatrick JM.

Med Phys. 2004 May;31(5):1083-92.

PMID:
15191296
7.

Accurate positioning for head and neck cancer patients using 2D and 3D image guidance.

Kang H, Lovelock DM, Yorke ED, Kriminski S, Lee N, Amols HI.

J Appl Clin Med Phys. 2010 Oct 27;12(1):3270.

10.

Demons deformable registration for CBCT-guided procedures in the head and neck: convergence and accuracy.

Nithiananthan S, Brock KK, Daly MJ, Chan H, Irish JC, Siewerdsen JH.

Med Phys. 2009 Oct;36(10):4755-64.

11.

Site-specific deformable imaging registration algorithm selection using patient-based simulated deformations.

Nie K, Chuang C, Kirby N, Braunstein S, Pouliot J.

Med Phys. 2013 Apr;40(4):041911. doi: 10.1118/1.4793723.

PMID:
23556905
12.

A new markerless patient-to-image registration method using a portable 3D scanner.

Fan Y, Jiang D, Wang M, Song Z.

Med Phys. 2014 Oct;41(10):101910. doi: 10.1118/1.4895847.

PMID:
25281962
13.

Evaluation of the accuracy of a 3D surface imaging system for patient setup in head and neck cancer radiotherapy.

Gopan O, Wu Q.

Int J Radiat Oncol Biol Phys. 2012 Oct 1;84(2):547-52. doi: 10.1016/j.ijrobp.2011.12.004. Epub 2012 Feb 24.

PMID:
22365627
14.

A neural network approach for fast, automated quantification of DIR performance.

Neylon J, Min Y, Low DA, Santhanam A.

Med Phys. 2017 Aug;44(8):4126-4138. doi: 10.1002/mp.12321. Epub 2017 Jul 17.

PMID:
28477340
15.

Intensity-based 2D-3D spine image registration incorporating a single fiducial marker.

Russakoff DB, Rohlfing T, Adler JR Jr, Maurer CR Jr.

Acad Radiol. 2005 Jan;12(1):37-50.

PMID:
15691724
16.

Automated 2D-3D registration of portal images and CT data using line-segment enhancement.

Munbodh R, Chen Z, Jaffray DA, Moseley DJ, Knisely JP, Duncan JS.

Med Phys. 2008 Oct;35(10):4352-61.

17.

A 3D global-to-local deformable mesh model based registration and anatomy-constrained segmentation method for image guided prostate radiotherapy.

Zhou J, Kim S, Jabbour S, Goyal S, Haffty B, Chen T, Levinson L, Metaxas D, Yue NJ.

Med Phys. 2010 Mar;37(3):1298-308.

PMID:
20384267
18.

Assessing the intrinsic precision of 3D/3D rigid image registration results for patient setup in the absence of a ground truth.

Wu J, Murphy MJ.

Med Phys. 2010 Jun;37(6Part1):2501-2508. doi: 10.1118/1.3414041.

PMID:
28512949
19.

Comparisons of multiple automated anatomy-based image-guidance methods for patient setup before head/neck external beam radiotherapy.

Dogan N, Song S, Saleh H, Wu J, Murphy MJ.

J Appl Clin Med Phys. 2010 Oct 13;12(1):3337.

PMID:
21330980
20.

Improving superficial target delineation in radiation therapy with endoscopic tracking and registration.

Weersink RA, Qiu J, Hope AJ, Daly MJ, Cho BC, Dacosta RS, Sharpe MB, Breen SL, Chan H, Jaffray DA.

Med Phys. 2011 Dec;38(12):6458-68. doi: 10.1118/1.3658569.

PMID:
22149829

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