DocumentCode :
1845302
Title :
Morphological and Parametric Estimation of Fetal Neural Stem Cell Migratory Capacity in the Rat Brain
Author :
Flexman, J.A. ; Cross, D.J. ; Kim, Y. ; Minoshima, S.
Author_Institution :
Univ. of Washington, Seattle
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
4464
Lastpage :
4467
Abstract :
Magnetic resonance imaging (MRI) can non- invasively monitor the migratory behavior of magnetically labeled stem cells after transplantation. Signal changes associated with the clearance of the contrast agent due to cell death and leaked tracer in the interstitial space must be better understood in order to accurately interpret imaging results. In this study, fetal neural stem cells were labeled with superparamagnetic iron oxide (SPIO) particles and transplanted into the corpus callosum of the adult rat. MRI was performed on the day of transplantation and at one week. Control subjects received injections of either non-viable, labeled cells or loose SPIO particles. Two quantitative image analysis algorithms were developed to evaluate imaging results: 1) signal intensity drop-out areas were segmented and compared on a pixel-wise basis between initial and one week images; and 2) signal intensity profiles of transplanted materials at one week were parametrically modeled to estimate migration speed. Segmentation results showed that the number of pixels segmented at one week was significantly greater than the initial number of segmented pixels for subjects receiving injections of viable cells as compared to controls (p<0.05). The average speed of migration of viable cells along the corpus callosum was 69.2plusmn41.1 mum/d and was significantly higher than controls (p<0.05). This study demonstrates an in vivo assay to quantitatively evaluate stem cell migration that can be used in different experimental paradigms.
Keywords :
biomedical MRI; cell motility; image segmentation; iron compounds; magnetic particles; medical image processing; neurophysiology; parameter estimation; FeO; cell death; cell viability; contrast agent; corpus callosum; fetal neural stem cell migratory capacity; interstitial space; magnetic resonance imaging; magnetically labeled stem cells; morphological estimation; noninvasive monitoring; parametric estimation; pixel segmentation; quantitative image analysis algorithms; rat brain; signal intensity drop-out areas; superparamagnetic iron oxide particles; time 1 week; Animals; Image analysis; Image segmentation; In vivo; Injuries; Iron; Labeling; Magnetic resonance imaging; Stem cells; Timing; Animals; Cell Movement; Contrast Media; Corpus Callosum; Ferric Compounds; Fetus; Magnetic Resonance Imaging; Neurons; Rats; Rats, Sprague-Dawley; Stem Cell Transplantation; Stem Cells; Time Factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4353330
Filename :
4353330
Link To Document :
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