Diffusion kurtosis imaging is an emerging technique based on non-gaussian diffusion of water in biologic systems and provides complementary information to the traditional diffusion. Although the method is very promising in identifying new biomarkers, it suffers from long time acquisition, which is very challenging in . However, a recent technique, named simultaneous multi-slice (SMS) acquisition, allows multiple slices acquisition thus drastically reducing the acquisition time. The purpose of this work is then to study the robustness of diffusion kurtosis in children when acquired via sms method.
Introduction
Diffusion kurtosis imaging is an emerging technique based on non-gaussian diffusion of water in biologic systems. The method provides complementary information to the traditional diffusion and its application to brain tumour to identify novel biomarkers has been considered very promising1. Unfortunately, diffusion kurtosis suffers from long time acquisition, which tends to reduce the applicability to clinical environment. This issue is even more pronounced when the kurtosis data are acquired in children because of either scarce compliance or the use of general anesthesia. The first might cause motion artifacts whereas for the latter it would be beneficial for the patient to keep the scanning time as short as possible. However, a recent technique, named simultaneous multi-slice (SMS) acquisition2, allows multiple slices acquisition thus drastically reducing the acquisition time. Since the drawback of this method is lower Signal-to –Noise ratio and kurtosis acquisition implies the use of high b value, it is of extreme importance to investigate the reproducibility of the measurements and determine its variability. The purpose of this work is then to study the robustness of diffusion kurtosis in children when acquired via sms method.Materials and Methods
Sixteen (age range of 6-10 years) children undergoing to standard clinical MRI protocol were selected. The selection criteria applied were based upon no evidence of diffusive white matter abnormalities. Two diffusion weighted acquisitions at the begging and the end of scanning were acquired. A 3T MAGNETOM Skyra (Siemens Healthcare, Erlangen, Germany) equipped with a 20-channel head/neck coil was used. For 6 out of the 16 patients the diffusion protocol used was the standard acquisition (total acquisition time=10 minutes; FOV = 256x256mm, 46 slices, TR/TE = 9000/114ms, BW = 1562Hz/px, matrix resolution = 128x128, slice thickness = 2.0mm, GRAPPA factor = 2, 30 directions, b values=0,1000,2000 s/mm2;) ; for 10 out of 16 patients the diffusion protocol used was the multi-slice (SMS) acquisition (total acquisition time=5 minutes; FOV = 256x256mm, 46 slices, TR/TE = 4600/113ms, BW = 1562Hz/px, matrix resolution = 128x128, slice thickness = 2.0mm, GRAPPA factor = 2, Slice acceleration factor =2, Verse factor=2.2, 30 directions, b values=0,1000,2000 s/mm2) which was acquired using a prototyping sequence from Siemens. Both set of diffusion images were preprocessed in matlab to account for eddy current and moving artifact by using ACID toolbox3 for spm. The actual kurtosis processing was performed on DKE toolbox. FA, kFA, kmean maps were calculated. Two circular ROI sizes were used, small (diameter = 4 mm) and large (diameter = 8 mm) identifying them with small or capital letters. ROIs were placed by an expert neuroradiologist in three brain areas: right (RSC, rsc) and left(LSC, lsc) semiovale centrum white matter, and posterior white matter(PWM, pwm). The absolute difference (AD) between the first and last scan scaled by the mean was used to evaluate the variability of the measure. T-tests between the two acquisition protocols were performed.1) Wu EX, Cheung MM. MR diffusion kurtosis imaging for neural tissue characterization. NMR Biomed 2010; 23:836–848
2) Larkman DJ, Hajnal JV, Herlihy AH, Coutts GA, Young IR, Ehnholm G. Use of multicoil arrays for separation of signal from multiple slices simultaneously excited. J Magn Reson Imaging. 2001;13:313–317.
2. Mohammadi S, Moller HE, Kugel H, Muller DK, Deppe M. Correcting eddy current and motion effects by affine whole-brain registrations: evaluation of three-dimensional distortions and comparison with slicewise correction. Magn Reson Med 2010;64: 1047-1056.