Bi-exponential magnetic resonance signal model for partial volume computation

Q Duché, O Acosta, G Gambarota, I Merlet… - … Image Computing and …, 2012 - Springer
Accurate quantification of small structures in magnetic resonance (MR) images is often
limited by partial volume (PV) effects which arise when more than one tissue type is present
in a voxel. PV may be critical when dealing with changes in brain anatomy as the
considered structures such as gray matter (GM) are of similar size as the MR spatial
resolution. To overcome the limitations imposed by PV effects and achieve subvoxel
accuracy different methods have been proposed. Here, we describe a method to compute …

[PDF][PDF] Bi-exponential Magnetic Resonance Signal Model for Partial Volume Computation

O Salvado, H Saint-Jalmes - iacl.ece.jhu.edu
Accurate quantification of small structures in magnetic resonance (MR) images is often
limited by partial volume (PV) effects which arise when more than one tissue type is present
in a voxel. PV may be critical when dealing with changes in brain anatomy as the
considered structures such as gray matter (GM) are of similar size as the MR spatial
resolution. To overcome the limitations imposed by PV effects and achieve subvoxel
accuracy different methods have been proposed. Here, we describe a method to compute …
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