Meeting Banner
Abstract #3131

High-Resolution Diffusion Kurtosis Imaging (DKI) Enabled by Segmented Position Orientation Adaptive Smoothing (POAS)

Siawoosh Mohammadi1, Karsten Tabelow2, Thorsten Feiweier3, Joerg Polzehl2, Nikolaus Weiskopf1

1Wellcome Trust Centre for Neuroimaging at UCL, ION UCL, UCL, London, United Kingdom; 2Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany; 3Healthcare Sector, Siemens AG, Erlangen, Bayern, Germany

Recent studies suggest that Diffusion Kurtosis Imaging (DKI) is more sensitive to gray microstructure than the well-known diffusion tensor imaging (DTI). However, DKI suffers from a low signal-to-noise ratio (SNR), since it is based on multiple and high b-value data. Thus, in-vivo high-resolution DKI with small voxel sizes has not been available on clinical scanners. We aimed to overcome the low SNR issue by using a novel version of the position orientation adaptive smoothing (POAS), which is separately applied on grey and white matter masks.

Abstract PDF Presentation Video

Keywords

acid adaptive adjacent aimed alleviate almost anatomy anisotropic anisotropy applied approaches around arrows artificial artificially assess audience available becomes better biased blue bottom brain chose clinical clinicians coded complicated conditioned consequence corrected cortex cortical depicted detailed diffusion distribution drastically drawback eddy eliminated enabled enhance entirely equal estimating estimation evidently fewer field fractional frequently full furthermore generated gray green half healthy helms heuristic highlight histogram improved in vivo index indicator institute isotropic issue kingdom known kurtosis lost magnetization maintained makes male maps middle mixes motion motor noise noisy none novel obscured occurred orientation original package park particular poor poorly position positioned processed processing profile profiles quality realistic recent reduced required researchers resolution ripple ripples scanned scanner scanners scheme sector segmented segments sensitive separately significantly simultaneously since slice slices smoothed smoothing software stroke structure studies suggest suggested supported system target tensor toolbox towards transfer trio trust unlike version view volunteer whereas white width