Abstract
Background The ability to interrogate cardiac microstructure has led to much recent interest in in-vivo cardiac diffusion tensor imaging (cDTI). However, when compared to studies performed in neuro-imaging, very little work has been done to determine the optimal diffusion encoding schemes. Previous work has suggested that accuracy is improved by increasing the number of diffusion encoding directions (Ndirs) , but comparisons in the heart have been limited to fixed animal specimens. Here we compare parameters derived from cDTI using data acquired in vivo with an increasing Ndirs.
Highlights
The ability to interrogate cardiac microstructure has led to much recent interest in in-vivo cardiac diffusion tensor imaging
10 healthy subjects were imaged on a Siemens Skyra using the STEAM-EPI cardiac diffusion tensor imaging (cDTI) sequence[4] in a short-axis slice of the mid left-ventricle with the optimal protocol recently described[5] (b-values: 150 and 750 smm-2, 2.8x2.8x8mm[3] resolution). This was repeated with number of diffusion encoding directions (Ndirs)=6, 10, 12 and 20 and 12 averages (Navs) were acquired in each direction
The processing was repeated for each set of diffusion encoding directions with varying numbers of averages chosen to match the total images used Ntot = Navs x Ndirs, as closely as possible to 24, 36 and 60 and using Navs=12
Summary
The ability to interrogate cardiac microstructure has led to much recent interest in in-vivo cardiac diffusion tensor imaging (cDTI). When compared to studies performed in neuro-imaging, very little work has been done to determine the optimal diffusion encoding schemes. Previous work has suggested that accuracy is improved by increasing the number of diffusion encoding directions (Ndirs)[1,2], but comparisons in the heart have been limited to fixed animal specimens[3]. We compare parameters derived from cDTI using data acquired in vivo with an increasing Ndirs
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