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Abstract #4013

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

Jeong Woo Kim1 and Chang Hee Lee2
1Radiology, Korea University Guro Hospital, Seoul, Korea, Republic of, 2Korea University Guro Hospital, Seoul, Korea, Republic of

Synopsis

Keywords: Pancreas, Pancreas

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.

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Keywords