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Results: 1 to 20 of 344

Similar articles for PubMed (Select 24007156)

1.

Fiducial marker-based correction for involuntary motion in weight-bearing C-arm CT scanning of knees. Part I. Numerical model-based optimization.

Choi JH, Fahrig R, Keil A, Besier TF, Pal S, McWalter EJ, Beaupré GS, Maier A.

Med Phys. 2013 Sep;40(9):091905. doi: 10.1118/1.4817476.

2.

Fiducial marker-based correction for involuntary motion in weight-bearing C-arm CT scanning of knees. II. Experiment.

Choi JH, Maier A, Keil A, Pal S, McWalter EJ, Beaupré GS, Gold GE, Fahrig R.

Med Phys. 2014 Jun;41(6):061902. doi: 10.1118/1.4873675.

PMID:
24877813
3.

Fast, accurate, and robust automatic marker detection for motion correction based on oblique kV or MV projection image pairs.

Slagmolen P, Hermans J, Maes F, Budiharto T, Haustermans K, van den Heuvel F.

Med Phys. 2010 Apr;37(4):1554-64.

PMID:
20443476
4.
5.

A flexible multicamera visual-tracking system for detecting and correcting motion-induced artifacts in cardiac SPECT slices.

McNamara JE, Pretorius PH, Johnson K, Mukherjee JM, Dey J, Gennert MA, King MA.

Med Phys. 2009 May;36(5):1913-23.

6.

Realistic CT simulation using the 4D XCAT phantom.

Segars WP, Mahesh M, Beck TJ, Frey EC, Tsui BM.

Med Phys. 2008 Aug;35(8):3800-8.

7.

4D ultrasound speckle tracking of intra-fraction prostate motion: a phantom-based comparison with x-ray fiducial tracking using CyberKnife.

O'Shea TP, Garcia LJ, Rosser KE, Harris EJ, Evans PM, Bamber JC.

Phys Med Biol. 2014 Apr 7;59(7):1701-20. doi: 10.1088/0031-9155/59/7/1701. Epub 2014 Mar 12.

PMID:
24619097
8.

Digital anthropomorphic phantoms of non-rigid human respiratory and voluntary body motion for investigating motion correction in emission imaging.

Könik A, Connolly CM, Johnson KL, Dasari P, Segars PW, Pretorius PH, Lindsay C, Dey J, King MA.

Phys Med Biol. 2014 Jul 21;59(14):3669-82. doi: 10.1088/0031-9155/59/14/3669. Epub 2014 Jun 13.

PMID:
24925891
9.

Population of anatomically variable 4D XCAT adult phantoms for imaging research and optimization.

Segars WP, Bond J, Frush J, Hon S, Eckersley C, Williams CH, Feng J, Tward DJ, Ratnanather JT, Miller MI, Frush D, Samei E.

Med Phys. 2013 Apr;40(4):043701. doi: 10.1118/1.4794178.

10.

Evaluation of interpolation methods for surface-based motion compensated tomographic reconstruction for cardiac angiographic C-arm data.

Müller K, Schwemmer C, Hornegger J, Zheng Y, Wang Y, Lauritsch G, Rohkohl C, Maier AK, Schultz C, Fahrig R.

Med Phys. 2013 Mar;40(3):031107. doi: 10.1118/1.4789593.

11.

Reduction of motion artefacts in on-board cone beam CT by warping of projection images.

Marchant TE, Price GJ, Matuszewski BJ, Moore CJ.

Br J Radiol. 2011 Mar;84(999):251-64. doi: 10.1259/bjr/90983944. Epub 2010 Nov 16.

12.

Deformable motion reconstruction for scanned proton beam therapy using on-line x-ray imaging.

Zhang Y, Knopf A, Tanner C, Boye D, Lomax AJ.

Phys Med Biol. 2013 Dec 21;58(24):8621-45. doi: 10.1088/0031-9155/58/24/8621. Epub 2013 Nov 21.

PMID:
24256693
13.

Cardiac motion correction based on partial angle reconstructed images in x-ray CT.

Kim S, Chang Y, Ra JB.

Med Phys. 2015 May;42(5):2560. doi: 10.1118/1.4918580.

PMID:
25979048
14.

Automatic tracking of arbitrarily shaped implanted markers in kilovoltage projection images: a feasibility study.

Regmi R, Lovelock DM, Hunt M, Zhang P, Pham H, Xiong J, Yorke ED, Goodman KA, Rimner A, Mostafavi H, Mageras GS.

Med Phys. 2014 Jul;41(7):071906. doi: 10.1118/1.4881335.

PMID:
24989384
15.

Nonrigid registration-based coronary artery motion correction for cardiac computed tomography.

Bhagalia R, Pack JD, Miller JV, Iatrou M.

Med Phys. 2012 Jul;39(7):4245-54. doi: 10.1118/1.4725712.

PMID:
22830758
16.

Use of MRI to assess the prediction of heart motion with gross body motion in myocardial perfusion imaging by stereotracking of markers on the body surface.

King MA, Dey J, Johnson K, Dasari P, Mukherjee JM, McNamara JE, Konik A, Lindsay C, Zheng S, Coughlin D.

Med Phys. 2013 Nov;40(11):112504. doi: 10.1118/1.4824693.

17.

Normal and pathological NCAT image and phantom data based on physiologically realistic left ventricle finite-element models.

Veress AI, Segars WP, Weiss JA, Tsui BM, Gullberg GT.

IEEE Trans Med Imaging. 2006 Dec;25(12):1604-16.

PMID:
17167995
18.

Development of a model of the coronary arterial tree for the 4D XCAT phantom.

Fung GS, Segars WP, Gullberg GT, Tsui BM.

Phys Med Biol. 2011 Sep 7;56(17):5651-63. doi: 10.1088/0031-9155/56/17/012. Epub 2011 Aug 10.

19.

Reduction of irregular breathing artifacts in respiration-correlated CT images using a respiratory motion model.

Hertanto A, Zhang Q, Hu YC, Dzyubak O, Rimner A, Mageras GS.

Med Phys. 2012 Jun;39(6):3070-9. doi: 10.1118/1.4711802.

20.

Four-dimensional magnetic resonance imaging (4D-MRI) using image-based respiratory surrogate: a feasibility study.

Cai J, Chang Z, Wang Z, Paul Segars W, Yin FF.

Med Phys. 2011 Dec;38(12):6384-94. doi: 10.1118/1.3658737.

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