Feasibility of deep learning-reconstructed thin-slice single-breath-hold HASTE for detecting pancreatic lesions: A comparison with two conventional T2-weighted imaging sequences

Feasibility of deep learning-reconstructed thin-slice single-breath-hold HASTE for detecting pancreatic lesions: A comparison with two conventional T2-weighted imaging sequences

Objective: The objective of this study was to evaluate the clinical feasibility of deep learning reconstruction-accelerated thin-slice single-breath-hold half-Fourier single-shot turbo spin echo imaging (HASTEDL) for detecting pancreatic lesions, in comparison with two conventional T2-weighted imagi...

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Bibliographic Details
Main Authors: Kai Liu, Qing Li, Xingxing Wang, Caixia Fu, Haitao Sun, Caizhong Chen, Mengsu Zeng
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Research in Diagnostic and Interventional Imaging
Subjects:
Deep learning
Half-Fourier acquisition single-shot turbo spin echo
Pancreatic lesions
Compressed sensing
Online Access:http://www.sciencedirect.com/science/article/pii/S2772652523000170

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http://www.sciencedirect.com/science/article/pii/S2772652523000170

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