773 - Automatic Computer Aided Quantification of Synovitis in Rheumatoid Arthritis Using Dynamic MRI and the Impact of Movement Correction On Signal to Noise Ratio (SNR) and Region of Interest (ROI) Analysis

Monday, October 19, 2009: 9:00 AM - 11:00 AM
Hall D (Pennsylvania Convention Center)
Mikael Boesen1, Olga Kubassova2, Marco A. Cimmino3, Mikkel Ostergaard4, Bente Danneskiold-Samsoe1 and Henning Bliddal1, 1Parker Institute, Frederiksberg, Denmark, 2Image Analysis, Leeds, England, 3University of Genova, Genova, Italy, 4University Hospitals Hvidovre and Gentofte, Copenhagen, Denmark
Presentation Number: 773
Poster Board Number: 124

Background:
Dynamic Contrast Enhanced MRI (DCE-MRI), based on repeated imaging of the same few MRI slices with a few seconds’ interval after intravenous contrast injection, correlates closely to histological inflammatory activity and is a  promising tool to asses the early response to treatment, potentially before volume changes and changes in OMERACT RAMRIS scores occur. Analysis of DCE-MRI is usually done by manual selection of areas with most enhancement (regions of interest, ROIs), but variable ROI positioning and movements during imaging, introduce large variation in the results obtained from the dynamic curves using the ROI method (1-2).
Purpose:
To analyse DCE-MRI data from RA patients using a newly developed algorithm that eliminate motion artefacts and to evaluate the impact of motion on SNR and ROI results

Methods:
DCE-MRI data were acquired in wrists of 50 RA patients and 5 controls, by repeatedly obtaining 3 axial or coronal T1-weighted images every 10-15 seconds immediately after iv 0.1 mmol/kg Gd-DTPA, using a 0.2T Esaote C-scan or E-scan (22-30 repetitions). Motion artefacts were eliminated using an intensity-based algorithm which corrects for movements and changes in brightness and contrast in every pixel. ROIs of 25mm2 were positioned automatically in the area of most enhancement using a custom made computer programme. Maximum enhancement (ME) and initial rate of enhancement (IRE) were calculated from the ROIs.
Results:
Motion artefacts in all 3 planes were reduced from 1.3mm±7mm to 1mm±1.5mm shift and 7±6degree to 1±0.4degree rotation. This increased SNR by a factor 3 on average, removed image blurring and reduced the variations in the shape of dynamic curves extracted from the ROIs. This consequently reduced variation in measurements of ME and IRE (statistical f-test was applied). In controls, the IRE was reduced from 0.21±0.1 to 0.12±0.02 [%/sec] and in ME from 0.35±0.23 to 0.1±0.01 [%]. In patients, IRE increased from 0.5±0.16 to 0.6±0.02 [%/sec] and ME from 0.53±0.3 to 0.7±0.02 [%].

Conclusion:
Elimination of motion artefacts significantly reduced artefactual enhancement and increased SNR. Reduced variation in ROI measurements significantly influenced the accuracy of quantitative analysis of inflammation. This supports the use of DCE-MRI augmented by motion reduction algorithms for more robust and valid analysis of synovitis in RA patients.

1. McQueen FM et al. Arthritis Rheum 2004;50:674-5.
2. Kubassova et al. Medical Image Computing and Computer Assisted Intervention 2008


Keywords: imaging techniques, inflammation and rheumatoid arthritis (RA)

Disclosure: M. Boesen, None; O. Kubassova, Olga Kubassova, 5 ; M. A. Cimmino, None; M. Ostergaard, None; B. Danneskiold-Samsoe, None; H. Bliddal, None.