Abstract
In the last decade micro-CT has become an important modality in pre-clinical research of biological processes. Micro-CT perfusion implicates long exposure times and high spatial resolution, leading to increased radiation doses in order to achieve reasonable signal-to-noise ratio (SNR). Highly constrained backprojection (HYPR) allows for dose-efficient reconstruction of serial images. A modified version of the algorithm, HYPR Local Reconstruction (HYPR LR) has been introduced recently for MR applications. We applied the HYPR LR algorithm to micro-CT perfusion data of a dedicated perfusion phantom and evaluated its performance with respect to image noise, temporal resolution and spatial resolution. In our study the image noise was reduced by 43.5% without compromising temporal resolution. Reference and HYPR LR images resulted in the same perfusion values within to 1.25%. Spatial resolution was reduced by HYPR LR by 4.75%. HYPR LR appears to be a promising method to increase dose efficiency in perfusion CT. However, further research is required to evaluate improved filter kernels and the algorithm’s dependence on spatio-temporal correlation in the dataset.
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