Literature DB >> 16758476

Evaluation of the articular cartilage of the knee joint with vastly undersampled isotropic projection reconstruction steady-state free precession imaging.

Richard Kijowski1, Aiming Lu, Walter Block, Thomas Grist.   

Abstract

PURPOSE: To determine the feasibility of the vastly undersampled isotropic projection reconstruction steady-state free precession (VIPR-SSFP) sequence for evaluating the articular cartilage of the knee joint.
MATERIALS AND METHODS: A magnetic resonance (MR) examination of the knee was performed on 33 subjects using a GE 1.5T scanner and a phased-array extremity coil. VIPR-SSFP, proton density-weighted fast spin-echo (PD-FSE), fat-suppressed T2-weighted fast spin-echo (T2-FSE), and three-dimensional fat-suppressed spoiled gradient recall-echo (SPGR) sequences were performed on three asymptomatic volunteers and 10 patients with osteoarthritis of the knee joint. Signal-to-noise efficiency, and contrast-to-noise ratio (CNR) measurements were calculated for all sequences and compared with the use of paired t-tests. The VIPR-SSFP sequence was then performed on 20 consecutive patients who were undergoing a routine MR examination of the knee.
RESULTS: The cartilage signal-to-noise efficiency of the VIPR-SSFP sequence was not significantly different from that of the PD-FSE and SPGR sequences. The cartilage signal-to-noise efficiency of the VIPR-SSFP sequence was significantly higher (P < 0.05) than that of the T2-FSE sequence. The VIPR-SSFP sequence produced images with significantly higher (P < 0.05) CNR between cartilage and synovial fluid than the PD-FSE and SPGR sequences, and significantly higher (P < 0.05) CNR between cartilage and subchondral bone than the T2-FSE sequence. The VIPR-SSFP sequence allowed excellent visualization of the articular cartilage of the knee joint in all subjects. All articular cartilage defects identified on the PD-FSE, T2-FSE, and SPGR images were well visualized on the VIPR-SSFP images.
CONCLUSION: VIPR-SSFP images had high cartilage signal-to-noise efficiency and high CNR between cartilage and adjacent synovial fluid and subchondral bone; therefore, the sequence is well suited for evaluating the articular cartilage of the knee joint. (c) 2006 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2006        PMID: 16758476     DOI: 10.1002/jmri.20596

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  8 in total

Review 1.  Routine 3D magnetic resonance imaging of joints.

Authors:  Richard Kijowski; Garry E Gold
Journal:  J Magn Reson Imaging       Date:  2011-04       Impact factor: 4.813

2.  Multicomponent T2 analysis of articular cartilage with synovial fluid partial volume correction.

Authors:  Fang Liu; Rajeev Chaudhary; Walter F Block; Alexey Samsonov; Richard Kijowski
Journal:  J Magn Reson Imaging       Date:  2015-10-05       Impact factor: 4.813

3.  Cartilage morphology at 3.0T: assessment of three-dimensional magnetic resonance imaging techniques.

Authors:  Christina A Chen; Richard Kijowski; Lauren M Shapiro; Michael J Tuite; Kirkland W Davis; Jessica L Klaers; Walter F Block; Scott B Reeder; Garry E Gold
Journal:  J Magn Reson Imaging       Date:  2010-07       Impact factor: 4.813

4.  Rapid isotropic resolution cartilage assessment using radial alternating repetition time balanced steady-state free-precession imaging.

Authors:  Habib Al saleh; Larry Hernandez; Kenneth S Lee; Humberto G Rosas; Walter F Block; Richard Kijowski
Journal:  J Magn Reson Imaging       Date:  2013-10-22       Impact factor: 4.813

5.  High-resolution 3D radial bSSFP with IDEAL.

Authors:  Catherine J Moran; Ethan K Brodsky; Leah Henze Bancroft; Scott B Reeder; Huanzhou Yu; Richard Kijowski; Dorothee Engel; Walter F Block
Journal:  Magn Reson Med       Date:  2013-03-15       Impact factor: 4.668

6.  Pilot study of improved lesion characterization in breast MRI using a 3D radial balanced SSFP technique with isotropic resolution and efficient fat-water separation.

Authors:  Catherine J Moran; Frederick Kelcz; Youngkyoo Jung; Ethan K Brodsky; Sean B Fain; Walter F Block
Journal:  J Magn Reson Imaging       Date:  2009-07       Impact factor: 4.813

7.  Water Selective Imaging and bSSFP Banding Artifact Correction in Humans and Small Animals at 3T and 7T, Respectively.

Authors:  Emeline J Ribot; Didier Wecker; Aurélien J Trotier; Benjamin Dallaudière; William Lefrançois; Eric Thiaudière; Jean-Michel Franconi; Sylvain Miraux
Journal:  PLoS One       Date:  2015-10-01       Impact factor: 3.240

8.  Non-contrast enhanced 3D SSFP MRA of the renal allograft vasculature: a comparison between radial linear combination and Cartesian inflow-weighted acquisitions.

Authors:  Eric M Bultman; Jessica Klaers; Kevin M Johnson; Christopher J François; Mark L Schiebler; Scott B Reeder; Walter F Block
Journal:  Magn Reson Imaging       Date:  2013-10-15       Impact factor: 3.130

  8 in total

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