title: Monitoring the survival of islet transplants by MRI using a novel technique for their automated detection and quantification.
abstract: OBJECTIVE
  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.
  
  
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Imaging Research Laboratories, Robarts Research Institute, London, ON N6A 5K8, Canada. daji@medicon.cz
authors.forename: Daniel
authors.initials: D
authors.lastname: Jirak
authors.forename: Jan
authors.initials: J
authors.lastname: Kriz
authors.forename: Michal
authors.initials: M
authors.lastname: Strzelecki
authors.forename: Jiabi
authors.initials: J
authors.lastname: Yang
authors.forename: Craig
authors.initials: C
authors.lastname: Hasilo
authors.forename: David J
authors.initials: DJ
authors.lastname: White
authors.forename: Paula J
authors.initials: PJ
authors.lastname: Foster
mesh_terms: D000818:Animals; D001331:Automation; D002470:Cell Survival; D003921:Diabetes Mellitus, Experimental; D004195:Disease Models, Animal; D007515:Islets of Langerhans / Q000166:cytology; D016381:Islets of Langerhans Transplantation / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D051379:Mice; D008807:Mice, Inbred BALB C; D051381:Rats; D011917:Rats, Inbred Lew; D014183:Transplantation, Heterologous; D014184:Transplantation, Homologous