3D Visualization of iron oxide nanoparticles in MRI of inflammatory model
Abstract Nanomedicine is becoming an extremely promising research area for healthcare. The visualization
and quantification of nanoparticles (NPs) inside the organs of interest pose a significant challenge and
therefore, novel image processing approaches are required for a better diagnosis. The purpose of this work
was to develop a novel approach for better visualization and quantification of iron oxide NPs in three
dimension (3D) high-resolution magnetic resonance (MR) images of an inflammatory model. The proposed
procedure focuses on the extraction of NPs from the background surrounding it. It is applied on 2D and 3D
images and is based on pre-processing and segmentation by automatic threshold to visualize the NPs inside
the mouse calf using a control set of images of the same calf before injecting the NPs. The resulting
visualization of the 3D distribution of iron oxide NPs inside the inflamed area of the calf has a potential in
the advancement of NPs application in nanomedicine therapy and diagnosis.
