Influence of deep learning image reconstruction and adaptive statistical iterative reconstruction-V on automated Alberta stroke program early CT score- evaluation

Both ASIR-V and DLIR resulted in only minor underestimation of ASPECTS compared to FBP. However, most patients became eligible for endovascular therapy due to ASPECTS reclassification with DLIR-M. DLIR-M also exhibited the highest agreement with expert consensus for automated ASPECTS. Therefore, careful selection of reconstruction parameters, as well as further optimization and standardization of these techniques, is essential for broader application in stroke imaging.