Enhanced resolution for EPR imaging by two-step deblurring |
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Authors: | Ahmad Rizwan Clymer Bradley Vikram Deepti S Deng Yuanmu Hirata Hiroshi Zweier Jay L Kuppusamy Periannan |
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Affiliation: | Department of Electrical and Computer Engineering, The Ohio State University, College of Engineering, Columbus, OH 43210, USA. |
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Abstract: | The broad spectrum of spin probes used for electron paramagnetic resonance imaging (EPRI) result in poor spatial resolution of the reconstructed images. Conventional deconvolution procedures can enhance the resolution to some extent but obtaining high resolution EPR images is still a challenge. In this work, we have implemented and analyzed the performance of a postacquisition deblurring technique to enhance the spatial resolution of the EPR images. The technique consists of two steps; noniterative deconvolution followed by iterative deconvolution of the acquired projections which are then projected back using filtered backprojection (FBP) to reconstruct a high resolution image. Further, we have proposed an analogous technique for iterative reconstruction algorithms such as multiplicative simultaneous iterative reconstruction technique (MSIRT) which can be a method of choice for many applications. The performance of the suggested deblurring approach is evaluated using computer simulations and EPRI experiments. Results suggest that the proposed procedure is superior to the standard FBP and standard iterative reconstruction algorithms in terms of mean-square-error (MSE), spatial resolution, and visual judgment. Although the procedure is described for 2D imaging, it can be readily extended to 3D imaging. |
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Keywords: | EPR imaging Deconvolution Filtered backprojection Iterative reconstruction technique |
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