Speaker
Description
MRI-guided PET reconstruction has shown to reduce
noise, and increase spatial resolution and quantification
accuracy in PET imaging. However, its application has mainly
been limited to brain imaging due to the availability of high
resolution isotropic 3D MRI sequences, which are rarely used in
whole-body MRI. The present works employs multi-parametric
PET-MRI reconstruction to combine more than one MRI sequence
with different spatial resolutions in different directions
applied to non-brain MRI-guided PET reconstruction, in order to
achieve high 3D PET spatial resolution. Results show that using
MRI-guided PET reconstruction overall improves image quality
in terms of noise and spatial resolution compared to OSEM, but
the use of MRI sequences with anisotropic spatial resolution may
cause the loss of detail. The combination of multiple sequences
with different anisotropic voxel sizes in the PET reconstruction,
prevents any loss of information while obtaining improved image
quality compared to OSEM.
Field | Software and quantification |
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