Deep Learning Accelerated HASTE Sequence with denoising effect for the Evaluation of Pancreatic Cystic Lesions

Motivation: Single-shot technique such as HASTE with one breath-hold and thin section images reconstructed by DL may allow detection and detailed characterization of pancreas cystic lesions. Goal(s): This study was aimed to assess the feasibility of single breath-hold HASTE using DLR with additional denoising effect for the evaluation of pancreas cystic lesions. Approach: Four HASTE sequences with/without DLR were obtained. Two radiologists independently reviewed four image sets for qualitative and quantitative analyses of image quality. Results: HASTE using DL with additional denoising showed higher image quality than conventional HASTE in both qualitative and quantitative analyses. It also showed lower variability in cyst size measurement. Impact: DL-accelerated HASTE sequence with denoising effect may be useful for reducing acquisition time with one-breath hold without compromising image quality in the evaluation of pancreatic cystic lesions. It may be applied to abbreviated MRI for follow-up of pancreatic cystic lesions.