title: Progressive EPR imaging with adaptive projection acquisition.
abstract: Continuous wave electron paramagnetic resonance imaging (EPRI) of living biological systems requires rapid acquisition and visualization of free radical images. In the commonly used multiple-stage back-projection image reconstruction algorithm, the EPR image cannot be reconstructed until a complete set of projections is collected. If the data acquisition is incomplete, the previously acquired incomplete data set is no longer useful. In this work, a 3-dimensional progressive EPRI technique was implemented based on inverse Radon transform in which a 3-dimensional EPR image is acquired and reconstructed gradually from low resolution to high resolution. An adaptive data acquisition strategy is proposed to determine the significance of projections and acquire them in an order from the most significant to the least significant. The image acquisition can be terminated at any time if further collection of projections does not improve the image resolution distinctly, providing flexibility to trade image quality with imaging time. The progressive imaging technique was validated using computer simulations as well as imaging experiments. The adaptive acquisition uses 50-70% less projections as compared to the regular acquisition. In conclusion, adaptive data acquisition with progressive image reconstruction should be very useful for the accelerated acquisition and visualization of free radical distribution.
authors.affiliation: Davis Heart and Lung Research Institute, Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH 43210, USA.
authors.forename: Yuanmu
authors.initials: Y
authors.lastname: Deng
authors.forename: Periannan
authors.initials: P
authors.lastname: Kuppusamy
authors.forename: Jay L
authors.initials: JL
authors.lastname: Zweier
mesh_terms: D000465:Algorithms; D004578:Electron Spin Resonance Spectroscopy; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D019047:Phantoms, Imaging