Towards Optimal dMRI Sequence Sets
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1
Linköpings Universitet, Medical Informatics, Department of Biomedical Engineering.
CMIV, Center for Medical Image Science and Visualisation.
, Sweden
We are setting out to develop a methodology for obtaining dMRI
images of the highest possible quality given a limited scan time.
As a first step towards this end we have developed a dMRI simulator.
The simulator is based on iterated complex matrix approach
and the main advantages can be summarized as: 1) Relies on first
principles – Directly models local diffusion and spin phase change at
all positions, no additional boundary conditions needed. 2) High
flexibility – Any compartment shape can be easily specified as a
function on a discrete grid and the gradient can be individually
specified for each time step. 3) Full transparency – The development
of the local magnetization can be monitored at all positions and all
times. 4) Speed - Our iterated matrix is based on a nearest neighbor
approach making it very computationally efficient. We will show a number of
simulation results highlighting important dMRI aspects.
The intended next step is to employ the simulator to determine a local
measurement space metric that is optimal from an information theoretic
perspective with respect to the expected signal statistics. This is
work in progress and we do not have results to show yet. However, using the
simulator, we will demonstrate the importance of having a good set of
dMRI sequences e.q. that different q-space sampling strategies can
lead to significantly different results.
Keywords:
Diffusion,
MRI,
dMRI,
multidimensional,
diffusion encoding
Conference:
New dimensions in diffusion encoding, Fjälkinge, Sweden, 11 Jan - 14 Jan, 2016.
Presentation Type:
Oral presentation
Topic:
New Dimensions in Diffusion Encoding
Citation:
Knutsson
H
(2016). Towards Optimal dMRI Sequence Sets.
Front. Phys.
Conference Abstract:
New dimensions in diffusion encoding.
doi: 10.3389/conf.FPHY.2016.01.00019
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Received:
07 Jul 2016;
Published Online:
07 Jul 2016.
*
Correspondence:
Prof. Hans Knutsson, Linköpings Universitet, Medical Informatics, Department of Biomedical Engineering.
CMIV, Center for Medical Image Science and Visualisation., Linköping, 58185, Sweden, knutte@imt.liu.se