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Items: 1 to 20 of 102

1.

A fully automated trabecular bone structural analysis tool based on T2* -weighted magnetic resonance imaging.

Kraiger M, Martirosian P, Opriessnig P, Eibofner F, Rempp H, Hofer M, Schick F, Stollberger R.

Comput Med Imaging Graph. 2012 Mar;36(2):85-94. doi: 10.1016/j.compmedimag.2011.07.006. Epub 2011 Sep 8.

2.

Multi-contrast MR for enhanced bone imaging and segmentation.

Dalvi R, Abugharbieh R, Wilson D, Wilson DR.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5620-3.

PMID:
18003287
3.

The use of unwrapped phase in MR image segmentation: a preliminary study.

Bourgeat P, Fripp J, Janke A, Galloway G, Crozier S, Ourselin S.

Med Image Comput Comput Assist Interv. 2005;8(Pt 2):813-20.

PMID:
16686035
4.

Three-dimensional image registration of MR proximal femur images for the analysis of trabecular bone parameters.

Blumenfeld J, Studholme C, Carballido-Gamio J, Carpenter D, Link TM, Majumdar S.

Med Phys. 2008 Oct;35(10):4630-9.

5.

MR image segmentation using phase information and a novel multiscale scheme.

Bourgeat P, Fripp J, Stanwell P, Ramadan S, Ourselin S.

Med Image Comput Comput Assist Interv. 2006;9(Pt 2):920-7.

PMID:
17354861
6.

Automatic segmentation of articular cartilage in magnetic resonance images of the knee.

Fripp J, Crozier S, Warfield SK, Ourselin S.

Med Image Comput Comput Assist Interv. 2007;10(Pt 2):186-94.

PMID:
18044568
8.

Reproducibility measurements of three methods for calculating in vivo MR-based knee kinematics.

Lansdown DA, Zaid M, Pedoia V, Subburaj K, Souza R, Benjamin C, Li X.

J Magn Reson Imaging. 2015 Aug;42(2):533-8. doi: 10.1002/jmri.24790. Epub 2014 Dec 27.

9.

Application of 3D-MR image registration to monitor diseases around the knee joint.

Takao M, Sugano N, Nishii T, Miki H, Koyama T, Masumoto J, Sato Y, Tamura S, Yoshikawa H.

J Magn Reson Imaging. 2005 Nov;22(5):656-60.

PMID:
16215970
10.

Unsupervised segmentation and quantification of anatomical knee features: data from the Osteoarthritis Initiative.

Tamez-Peña JG, Farber J, González PC, Schreyer E, Schneider E, Totterman S.

IEEE Trans Biomed Eng. 2012 Apr;59(4):1177-86. doi: 10.1109/TBME.2012.2186612. Epub 2012 Feb 3.

PMID:
22318477
11.

Diagnosis of osteoarthritis and prognosis of tibial cartilage loss by quantification of tibia trabecular bone from MRI.

Marques J, Genant HK, Lillholm M, Dam EB.

Magn Reson Med. 2013 Aug;70(2):568-75. doi: 10.1002/mrm.24477. Epub 2012 Aug 31.

PMID:
22941674
12.

Local bone enhancement fuzzy clustering for segmentation of MR trabecular bone images.

Folkesson J, Carballido-Gamio J, Eckstein F, Link TM, Majumdar S.

Med Phys. 2010 Jan;37(1):295-302.

13.

The use of sequential MR image sets for determining tibiofemoral motion: reliability of coordinate systems and accuracy of motion tracking algorithm.

Lerner AL, Tamez-Pena JG, Houck JR, Yao J, Harmon HL, Salo AD, Totterman SM.

J Biomech Eng. 2003 Apr;125(2):246-53.

PMID:
12751287
14.

Inter-subject comparison of MRI knee cartilage thickness.

Carballido-Gamio J, Bauer JS, Stahl R, Lee KY, Krause S, Link TM, Majumdar S.

Med Image Anal. 2008 Apr;12(2):120-35. Epub 2007 Aug 31.

15.

Measurement of tibiofemoral kinematics using highly accelerated 3D radial sampling.

Kaiser J, Bradford R, Johnson K, Wieben O, Thelen DG.

Magn Reson Med. 2013 May;69(5):1310-6. doi: 10.1002/mrm.24362. Epub 2012 Jun 12.

16.

Segmentation of joint and musculoskeletal tissue in the study of arthritis.

Pedoia V, Majumdar S, Link TM.

MAGMA. 2016 Apr;29(2):207-21. doi: 10.1007/s10334-016-0532-9. Epub 2016 Feb 25. Review.

PMID:
26915082
17.

Quantitative measurement of femoral condyle cartilage in the knee by MRI: validation study by multireaders.

Fujinaga Y, Yoshioka H, Sakai T, Sakai Y, Souza F, Lang P.

J Magn Reson Imaging. 2014 Apr;39(4):972-7. doi: 10.1002/jmri.24217. Epub 2013 Oct 7.

18.

Automatic graph-cut based segmentation of bones from knee magnetic resonance images for osteoarthritis research.

Ababneh SY, Prescott JW, Gurcan MN.

Med Image Anal. 2011 Aug;15(4):438-48. doi: 10.1016/j.media.2011.01.007. Epub 2011 Feb 24.

19.
20.

A toolbox for multiple sclerosis lesion segmentation.

Roura E, Oliver A, Cabezas M, Valverde S, Pareto D, Vilanova JC, Ramió-Torrentà L, Rovira À, Lladó X.

Neuroradiology. 2015 Oct;57(10):1031-43. doi: 10.1007/s00234-015-1552-2. Epub 2015 Jul 31.

PMID:
26227167

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