Evaluation of US and MRI techniques for carotid stenosis: a novel phantom approach.

Carotid atherosclerosis is very important in the pathogenesis of cerebral ischemia. Ultrasonography (US) and magnetic resonance imaging (MRI) are the predominant noninvasive techniques capable to identify the presence and stage of intra-plaque hemorrage. In this work, we propose a novel dedicated phantom that can be used for both US and MRI scanners to evaluate carotid atherosclerotic lesions. The phantom consists of a polymethyl metacrylate (PMMA) diagonally crossed by a PMMA hollow cylinder simulating a blood vessel. To simulate a stenosis, we inserted a plastic hollow tube inside the cylinder. Quantitative image analysis, based on accuracy measurements, was performed on two US and two MRI scanners. The accuracy measurements have highlighted the use of the 3.0 T MRI scanner to characterize the vessel stenosis. However, no significant difference between US and MRI techniques was found in Fisher exact test and inter-rater agreement. The concordance correlation coefficient showed a moderate agreement between some methods. Agreement between 3.0 T and other methods results poor, and this could be due to the fact that the 3.0 T has a better resolution compared to a US and MR 1.5 T. These methods seem to have similar efficacies for the evaluation of vessel stenosis, legitimizing the use of the developed phantom as a versatile and reproducible instrument that could be used during quality controls programs.

CT and MRI slice separation evaluation by LabView developed software.

The efficient use of Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) equipment necessitates establishing adequate quality-control (QC) procedures. In particular, the accuracy of slice separation, during multislices acquisition, requires scan exploration of phantoms containing test objects. To simplify such procedures, a novel phantom and a computerised LabView-based procedure have been devised, enabling determination the midpoint of full width at half maximum (FWHM) in real time while the distance from the profile midpoint of two progressive images is evaluated and measured. The results were compared with those obtained by processing the same phantom images with commercial software. To validate the proposed methodology the Fisher test was conducted on the resulting data sets. In all cases, there was no statistically significant variation between the commercial procedure and the LabView one, which can be used on any CT and MRI diagnostic devices.