347 related articles for article (PubMed ID: 16689221)
1. Automated techniques for visualization and mapping of articular cartilage in MR images of the osteoarthritic knee: a base technique for the assessment of microdamage and submicro damage.
Cashman PM; Kitney RI; Gariba MA; Carter ME
IEEE Trans Nanobioscience; 2002 Mar; 1(1):42-51. PubMed ID: 16689221
[TBL] [Abstract][Full Text] [Related]
2. A technique for visualization and mapping of local cartilage thickness changes in MR images of osteoarthritic knee.
Ge Q; Cheng Y; Bi K; Guo C; Bai J; Tamura S
Eur J Radiol; 2012 Nov; 81(11):3404-11. PubMed ID: 22571929
[TBL] [Abstract][Full Text] [Related]
3. Novel fast semi-automated software to segment cartilage for knee MR acquisitions.
Duryea J; Neumann G; Brem MH; Koh W; Noorbakhsh F; Jackson RD; Yu J; Eaton CB; Lang P
Osteoarthritis Cartilage; 2007 May; 15(5):487-92. PubMed ID: 17188525
[TBL] [Abstract][Full Text] [Related]
4. 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. PubMed ID: 18044568
[TBL] [Abstract][Full Text] [Related]
5. Automatic segmentation of the articular cartilage in knee MRI using a hierarchical multi-class classification scheme.
Folkesson J; Dam E; Olsen OF; Pettersen P; Christiansen C
Med Image Comput Comput Assist Interv; 2005; 8(Pt 1):327-34. PubMed ID: 16685862
[TBL] [Abstract][Full Text] [Related]
6. Isotropic three-dimensional T
Colotti R; Omoumi P; Bonanno G; Ledoux JB; van Heeswijk RB
J Magn Reson Imaging; 2018 Feb; 47(2):362-371. PubMed ID: 28489309
[TBL] [Abstract][Full Text] [Related]
7. Magnetic resonance image segmentation using semi-automated software for quantification of knee articular cartilage---initial evaluation of a technique for paired scans.
Brem MH; Lang PK; Neumann G; Schlechtweg PM; Schneider E; Jackson R; Yu J; Eaton CB; Hennig FF; Yoshioka H; Pappas G; Duryea J
Skeletal Radiol; 2009 May; 38(5):505-11. PubMed ID: 19252907
[TBL] [Abstract][Full Text] [Related]
8. 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. PubMed ID: 22318477
[TBL] [Abstract][Full Text] [Related]
9. Rapid isotropic resolution cartilage assessment using radial alternating repetition time balanced steady-state free-precession imaging.
Al saleh H; Hernandez L; Lee KS; Rosas HG; Block WF; Kijowski R
J Magn Reson Imaging; 2014 Oct; 40(4):796-803. PubMed ID: 24151247
[TBL] [Abstract][Full Text] [Related]
10. Morphological atlases of knee cartilage: shape indices to analyze cartilage degradation in osteoarthritic and non-osteoarthritic population.
Tameem HZ; Selva LE; Sinha US
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():1310-3. PubMed ID: 18002204
[TBL] [Abstract][Full Text] [Related]
11. Magnetic resonance imaging of knee cartilage using a water selective balanced steady-state free precession sequence.
Kornaat PR; Doornbos J; van der Molen AJ; Kloppenburg M; Nelissen RG; Hogendoorn PC; Bloem JL
J Magn Reson Imaging; 2004 Nov; 20(5):850-6. PubMed ID: 15503345
[TBL] [Abstract][Full Text] [Related]
12. Segmenting articular cartilage automatically using a voxel classification approach.
Folkesson J; Dam EB; Olsen OF; Pettersen PC; Christiansen C
IEEE Trans Med Imaging; 2007 Jan; 26(1):106-15. PubMed ID: 17243589
[TBL] [Abstract][Full Text] [Related]
13. No loss of cartilage volume over three years in patients with knee osteoarthritis as assessed by magnetic resonance imaging.
Gandy SJ; Dieppe PA; Keen MC; Maciewicz RA; Watt I; Waterton JC
Osteoarthritis Cartilage; 2002 Dec; 10(12):929-37. PubMed ID: 12464553
[TBL] [Abstract][Full Text] [Related]
14. Automated analysis of hip joint cartilage combining MR T2 and three-dimensional fast-spin-echo images.
Chandra SS; Surowiec R; Ho C; Xia Y; Engstrom C; Crozier S; Fripp J
Magn Reson Med; 2016 Jan; 75(1):403-13. PubMed ID: 25644241
[TBL] [Abstract][Full Text] [Related]
15. Synthetic-echo time postprocessing technique for generating images with variable T2-weighted contrast: diagnosis of meniscal and cartilage abnormalities of the knee.
Andreisek G; White LM; Theodoropoulos JS; Naraghi A; Young N; Zhao CY; Mamisch TC; Sussman MS
Radiology; 2010 Jan; 254(1):188-99. PubMed ID: 20032152
[TBL] [Abstract][Full Text] [Related]
16. Interactive knee cartilage extraction using efficient segmentation software: data from the osteoarthritis initiative.
Gan HS; Tan TS; Wong LX; Tham WK; Sayuti KA; Abdul Karim AH; bin Abdul Kadir MR
Biomed Mater Eng; 2014; 24(6):3145-57. PubMed ID: 25227024
[TBL] [Abstract][Full Text] [Related]
17. Computer-aided diagnosis of early knee osteoarthritis based on MRI T2 mapping.
Wu Y; Yang R; Jia S; Li Z; Zhou Z; Lou T
Biomed Mater Eng; 2014; 24(6):3379-88. PubMed ID: 25227048
[TBL] [Abstract][Full Text] [Related]
18. Knee cartilage: efficient and reproducible segmentation on high-spatial-resolution MR images with the semiautomated graph-cut algorithm method.
Shim H; Chang S; Tao C; Wang JH; Kwoh CK; Bae KT
Radiology; 2009 May; 251(2):548-56. PubMed ID: 19401579
[TBL] [Abstract][Full Text] [Related]
19. Comparison of 1.5- and 3.0-T MR imaging for evaluating the articular cartilage of the knee joint.
Kijowski R; Blankenbaker DG; Davis KW; Shinki K; Kaplan LD; De Smet AA
Radiology; 2009 Mar; 250(3):839-48. PubMed ID: 19164121
[TBL] [Abstract][Full Text] [Related]
20. 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. PubMed ID: 24123712
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
