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Items: 1 to 20 of 55

1.

Physically based nonrigid registration using smoothed particle hydrodynamics: application to hepatic metastasis volume-preserving registration.

Pyo SH, Lee J, Park S, Kim KW, Shin YG, Kim B.

IEEE Trans Biomed Eng. 2013 Sep;60(9):2530-40. doi: 10.1109/TBME.2013.2257172.

PMID:
23629838
2.

Intraindividual comparison of diagnostic performance in patients with hepatic metastasis of full-dose standard and half-dose iterative reconstructions with dual-source abdominal computed tomography.

Park M, Chung YE, Lee HS, Choi JY, Park MS, Kim MJ, Kim KW.

Invest Radiol. 2014 Apr;49(4):195-200. doi: 10.1097/RLI.0000000000000014.

PMID:
24300843
3.

Graphics Processing Unit-Accelerated Nonrigid Registration of MR Images to CT Images During CT-Guided Percutaneous Liver Tumor Ablations.

Tokuda J, Plishker W, Torabi M, Olubiyi OI, Zaki G, Tatli S, Silverman SG, Shekher R, Hata N.

Acad Radiol. 2015 Jun;22(6):722-33. doi: 10.1016/j.acra.2015.01.007.

4.

GGO nodule volume-preserving nonrigid lung registration using GLCM texture analysis.

Park S, Kim B, Lee J, Goo JM, Shin YG.

IEEE Trans Biomed Eng. 2011 Oct;58(10):2885-94. doi: 10.1109/TBME.2011.2162330.

PMID:
21775252
5.

Deformable 3D-2D registration for CT and its application to low dose tomographic fluoroscopy.

Flach B, Brehm M, Sawall S, Kachelrie├č M.

Phys Med Biol. 2014 Dec 21;59(24):7865-87. doi: 10.1088/0031-9155/59/24/7865.

PMID:
25426660
6.

A deformable model for tracking tumors across consecutive imaging studies.

Niculescu G, Nosher JL, Schneider MD, Foran DJ.

Int J Comput Assist Radiol Surg. 2009 Jun;4(4):337-47. doi: 10.1007/s11548-009-0298-x.

7.

Objective and subjective image quality of liver parenchyma and hepatic metastases with virtual monoenergetic dual-source dual-energy CT reconstructions: an analysis in patients with gastrointestinal stromal tumor.

Sudarski S, Apfaltrer P, Nance JW Jr, Meyer M, Fink C, Hohenberger P, Leidecker C, Schoenberg SO, Henzler T.

Acad Radiol. 2014 Apr;21(4):514-22. doi: 10.1016/j.acra.2014.01.001.

PMID:
24594421
8.

Volumetric evaluation of hepatic tumors: multi-vendor, multi-reader liver phantom study.

Lubner MG, Dustin Pooler B, del Rio AM, Durkee B, Pickhardt PJ.

Abdom Imaging. 2014 Jun;39(3):488-96. doi: 10.1007/s00261-014-0079-z.

PMID:
24492936
9.

Utility and validation of biomechanical deformable image registration in low-contrast images.

Velec M, Juang T, Moseley JL, Oldham M, Brock KK.

Pract Radiat Oncol. 2015 Jul-Aug;5(4):e401-8. doi: 10.1016/j.prro.2015.01.011.

10.

3-D/2-D registration by integrating 2-D information in 3-D.

Tomazevic D, Likar B, Pernus F.

IEEE Trans Med Imaging. 2006 Jan;25(1):17-27.

PMID:
16398411
11.

Feasibility of a novel deformable image registration technique to facilitate classification, targeting, and monitoring of tumor and normal tissue.

Brock KK, Dawson LA, Sharpe MB, Moseley DJ, Jaffray DA.

Int J Radiat Oncol Biol Phys. 2006 Mar 15;64(4):1245-54.

PMID:
16442239
12.

Mass preserving image registration for lung CT.

Gorbunova V, Sporring J, Lo P, Loeve M, Tiddens HA, Nielsen M, Dirksen A, de Bruijne M.

Med Image Anal. 2012 May;16(4):786-95. doi: 10.1016/j.media.2011.11.001.

PMID:
22336692
13.

Validation of nonrigid image registration using finite-element methods: application to breast MR images.

Schnabel JA, Tanner C, Castellano-Smith AD, Degenhard A, Leach MO, Hose DR, Hill DL, Hawkes DJ.

IEEE Trans Med Imaging. 2003 Feb;22(2):238-47.

PMID:
12716000
14.

Accelerated gradient-based free form deformable registration for online adaptive radiotherapy.

Yu G, Liang Y, Yang G, Shu H, Li B, Yin Y, Li D.

Phys Med Biol. 2015 Apr 7;60(7):2765-83. doi: 10.1088/0031-9155/60/7/2765.

PMID:
25767898
15.

3-D/2-D registration of CT and MR to X-ray images.

Tomazevic D, Likar B, Slivnik T, Pernus F.

IEEE Trans Med Imaging. 2003 Nov;22(11):1407-16.

PMID:
14606674
16.

Nonrigid registration of volumetric images using ranked order statistics.

Tennakoon RB, Bab-Hadiashar A, Cao Z, de Bruijne M.

IEEE Trans Med Imaging. 2014 Feb;33(2):422-32. doi: 10.1109/TMI.2013.2286192.

PMID:
24144657
17.

3D liver segmentation in preoperative CT images using a level-sets active surface method.

Fernandez-de-Manuel L, Rubio JL, Ledesma-Carbayo MJ, Pascau J, Tellado JM, Ramon E, Desco M, Santos A.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:3625-8. doi: 10.1109/IEMBS.2009.5333760.

PMID:
19964309
18.

Virtual monochromatic spectral imaging for the evaluation of hypovascular hepatic metastases: the optimal monochromatic level with fast kilovoltage switching dual-energy computed tomography.

Yamada Y, Jinzaki M, Tanami Y, Abe T, Kuribayashi S.

Invest Radiol. 2012 May;47(5):292-8. doi: 10.1097/RLI.0b013e318240a874.

PMID:
22472797
19.

Improving soft-tissue contrast in four-dimensional computed tomography images of liver cancer patients using a deformable image registration method.

Wang H, Krishnan S, Wang X, Beddar AS, Briere TM, Crane CH, Mohan R, Dong L.

Int J Radiat Oncol Biol Phys. 2008 Sep 1;72(1):201-9. doi: 10.1016/j.ijrobp.2008.04.054.

PMID:
18722271
20.

Non-rigid registration between 3D ultrasound and CT images of the liver based on intensity and gradient information.

Lee D, Nam WH, Lee JY, Ra JB.

Phys Med Biol. 2011 Jan 7;56(1):117-37. doi: 10.1088/0031-9155/56/1/008.

PMID:
21119227

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