Sparse-view CT perfusion with filtered back projection image reconstruction

摘要

CT perfusion (CTP) efficiently provides valuable hemodynamic information for triage of acute ischemic stroke patients atthe expense of additional radiation dose from consecutive CT acquisitions. Low-dose CTP is therefore highly desirablebut is often attempted by iterative or deep learning reconstructions that are computationally intensive. We aimed todemonstrate that acquiring fewer x-ray projections in a CTP scan while reconstructing with filtered back projection (FBP)can reduce radiation dose without impacting clinical utility. Six CTP studies were selected from the PRove-IT clinicaldatabase. For each axial source CTP slice, a 984-view sinogram was synthesized using a Radon Transform and uniformlyunder-sampled to 492, 328, 246, and 164-views. An FBP was applied on each sparse-view sinogram to reconstruct sourceimages that were used to generate perfusion maps using a delay-insensitive deconvolution algorithm. The resulting Tmaxand cerebral blood flow perfusion maps were evaluated for their ability to identify penumbra and ischemic core volumesusing the Pearson correlation (R) and Bland-Altman analysis. In addition, sparse-view perfusion maps were assessed forfidelity to original full-view maps using structural similarity, peak signal-to-noise ratio, and normalized root mean squarederror. Ischemic penumbra and infarct core volumes were accurately estimated by all sparse-view configurations (R>0.95,p<0.001; mean difference <3 ml) and overall perfusion map fidelity was well-maintained up to 328-views. Our preliminaryanalysis reveals that radiation dose can potentially be reduced by a factor of 6 with further validation that the errors inischemic volume measurement do not impact clinical decision-making.