Software developer Olea Medical is highlighting a clinical study published in the American Journal of Neuroradiology that supports the value of Bayesian postprocessing in MR imaging.
The study was performed by lead author Dr. Kambiz Nael, from the University of Arizona, and colleagues. The group used dynamic susceptibility contrast-enhanced (DSC) MR perfusion in 20 patients with a half dose (0.05 mmol/kg) and a full dose (0.1 mmol/kg) of gadolinium-based contrast. Nael's team then performed quantitative and qualitative analyses using two computative methods: circulant singular value decomposition (cSVD) and Bayesian analysis (AJNR, November 27, 2014).
The Bayesian method outperformed the cSVD technique for reduced-contrast-dose DSC perfusion, the researchers found. Olea Medical said it uses the Bayesian method in its Sphere package for neuroradiology.
