Automatic measurement of wrist synovitis from contrast-enhanced MRI: a registration-centered approach

Peter Mysling, Sune Darkner, Jon Sporring, Erik Dam, Martin Lillholm

1 Citationer (Scopus)

Abstract

MRI-determined measurement of synovial inflammation (synovitis) from hand MRIs has recently gained considerable popularity as a secondary marker in rheumatoid arthritis (RA) clinical trials. The currently accepted scoring systems are, however, purely semi-quantitative and rely on assessment from a trained radiologist. We propose a novel, fully automatic technique for quantitative wrist synovitis measurement from two MRIs acquired before and after contrast agent injection. The technique estimates the volume of the synovial inflammation in three steps. First, the wrist synovial membrane is segmented using multi-atlas B-spline based freeform registration. Second, positioning differences between the pre- and post-contrast acquisitions are corrected by rigid registration. Finally, wrist synovitis is quantified from the difference between the pre- and post-contrast sequences in the region of the segmented synovium. We evaluate the proposed technique on a data set of nineteen patients with acquisitions at two time points in a leave-onepatient- out fashion. Our experiments show that we are able to perform synovitis measurement with good correlation to manual semi-quantitative RAMRIS scores for both static (r=0.84) and longitudinal (r=0.87) scoring. These results compare favorably to the RAMRIS inter-observer variability.

OriginalsprogEngelsk
TitelMedical Imaging 2013 : Image Processing
RedaktørerSebastien Ourselin, David R. Haynor
Antal sider6
ForlagSPIE - International Society for Optical Engineering
Publikationsdato2013
Artikelnummer86692U
ISBN (Trykt)9780819494436
DOI
StatusUdgivet - 2013
BegivenhedMedical Imaging 2013: Image Processing - Lake Buena Vista, USA
Varighed: 10 feb. 201312 feb. 2013

Konference

KonferenceMedical Imaging 2013
Land/OmrådeUSA
ByLake Buena Vista
Periode10/02/201312/02/2013
NavnProgress in Biomedical Optics and Imaging
Nummer36
Vol/bind14
ISSN1605-7422

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