Purpose and backgroud: CT is the recommended first-line imaging method for inflammatory bowel disease (IBD) patients, and CT enterography (CTE) is also the best imaging method for follow-up review of IBD patients because medical institutions lack MRE examination technology. CTE provides crucial information that cannot be obtained through standard clinical and endoscopic evaluations, including the presence, severity, and extent of IBD and its related complications. Due to the recurrent nature of IBD and the current lack of a cure, IBD patients frequently require numerous imaging examinations throughout their lifetime. For patients undergoing multiple CTE examinations, the potential risks associated with CT radiation exposure must be considered. It is essential to reduce radiation exposure during CTE examination for IBD patients while maintaining excellent image quality. Therefore, the purpose of this study was to explore whether the AiCE can also be applied to reduce the radiation dose and improve image quality in evaluating IBD. The aim of this study was to compare the diagnostic performance of low dose CTE for IBD using hybrid iterative reconstruction (HIR) and different strengths of deep learning reconstruction (DLR).