Fast and Robust Analysis of Dynamic Contrast Enhanced MRI Datasets
Overview
Authors
Affiliations
A fully automated method for quantitative analysis of dynamic contrast-enhanced MRI data acquired with low and high field scanners, using spin echo and gradient echo sequences, depicting various joints is presented. The method incorporates efficient pre-processing techniques and a robust algorithm for quantitative assessment of dynamic signal intensity vs. time curves. It provides differentiated information to the reader regarding areas with the most active perfusion and permits depiction of different disease activity in separate compartments of a joint. Additionally, it provides information on the speed of contrast agent uptake by various tissues. The method delivers objective and easily reproducible results, which have been favourably viewed by a number of medical experts.
Use of artificial intelligence in imaging in rheumatology - current status and future perspectives.
Stoel B RMD Open. 2020; 6(1).
PMID: 31958283 PMC: 6999690. DOI: 10.1136/rmdopen-2019-001063.
Daugaard C, Riis R, Bandak E, Gudbergsen H, Henriksen M, Bliddal H Skeletal Radiol. 2019; 49(5):757-764.
PMID: 31820043 DOI: 10.1007/s00256-019-03336-4.
Bandak E, Boesen M, Bliddal H, Riis R, Nielsen S, Klokker L BMC Musculoskelet Disord. 2019; 20(1):491.
PMID: 31656173 PMC: 6815355. DOI: 10.1186/s12891-019-2858-8.
Gait A, Hodgson R, Parkes M, Hutchinson C, ONeill T, Maricar N Osteoarthritis Cartilage. 2016; 24(8):1392-8.
PMID: 27038489 PMC: 4967444. DOI: 10.1016/j.joca.2016.03.015.
Conaghan P, Ostergaard M, Bowes M, Wu C, Fuerst T, van der Heijde D Ann Rheum Dis. 2016; 75(6):1024-33.
PMID: 27002108 PMC: 4893111. DOI: 10.1136/annrheumdis-2015-208267.