Abstract
Electron paramagnetic resonance oxygen imaging, EPROI, is established as a method for quantitative oxygen imaging. For tissue identification, in vivo oxygen images need to be paired with higher tissue contrast images such as MRI, CT, or ultrasound. All these images are acquired using different instruments and a method to represent them in a common coordinate frame, image registration, is required. Registered EPROI can be used for directing cancer treatment or validation of other oxygen-related imaging methods such as PET or histological staining. We present an image registration and analysis system comprised of two components: an animal bed with registration guides and an ArbuzGUI MATLAB toolbox developed in our laboratory. The toolbox includes components for image registration, segmentation, and oxygen analysis.
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Funding
Work described in this publication was supported by NIH research grants R50 CA211408, R01 EB029948, P41 EB002034, R01 CA098575, and R01 CA236385. Dr. B. Epel and Prof. H. Halpern are associated with O2M Technologies, LLC.
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Epel, B., Halpern, H.J. EPR Oxygen Imaging Workflow with MATLAB Image Registration Toolbox. Appl Magn Reson 52, 1311–1319 (2021). https://doi.org/10.1007/s00723-021-01381-8
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DOI: https://doi.org/10.1007/s00723-021-01381-8