Object
There is a clinical need to be able to assess graft loss of transplanted pancreatic islets (PI) non-invasively with clear-cut
quantification of islet survival. We tracked transplanted PI in diabetic mice during the early post-transplant period by magnetic
resonance imaging (MRI) and quantified the islet loss using automatic segmentation technique.
Materials and methods
Magnetically labeled islet iso-, allo- and xenografts were injected into the right liver lobes. Animals underwent MRI scanning
during 14 days after PI transplantation. MR images were processed using custom-made software, which automatically detects
hypointense regions representing PI. It is based on morphological top-hat and bottom-hat transforms.
Results
Manually and automatically detected areas, corresponding to PI, differed by 4% in phantoms. Signal loss regions due to PI
decreased comparably in all groups during the first week post transplant. Throughout the second week post-transplant, the
signal loss area continued in a steep decline in case of allografts and xenografts, whereas the decline in case of isografts
slowed down.
Conclusion
Automatic segmentation allows for the more reproducible, objective assessment of transplanted PI. Quantification confirms
the assumption that a significant number of islets are destroyed in the first week following transplantation irrespective
of allografts, xenografts or isografts.
Keywords Magnetic resonance imaging (MRI) - Pancreatic islets (PI) - Quantification - Automatic segmentation - Animal model