Application value of HASTE sequence based on deep learning in pancreatic T2WI
10.19745/j.1003-8868.2025049
- VernacularTitle:基于深度学习的HASTE序列在胰腺T2WI中的应用价值
- Author:
Da CAO
1
;
Chuan-bing WANG
;
Hong-yuan SHI
;
Shao-wei HAO
;
Qing LI
Author Information
1. 南京医科大学第一附属医院放射科,南京 210029
- Publication Type:Journal Article
- Keywords:
magnetic resonance imaging;
T2WI;
deep learning;
fat suppression sequence;
half-Fourier acquisition single-shot turbo spin echo sequence;
pancreatic disease
- From:
Chinese Medical Equipment Journal
2025;46(3):59-63
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the clinical application value of the half-Fourier acquisition single-shot turbo spin echo(HASTE)sequence based on deep learning(DL)in pancreatic T2WI.Methods Data were collected from 41 patients who un-derwent both BLADE and DL-HASTE sequence scans during pancreatic T2WI at some hospital from February to July 2023.Qualitative assessments were made regarding overall image quality,pancreatic edge sharpness,pancreatic duct edge sharp-ness,pancreatic duct visua-lization(proximal,middle and distal segments)and lesion visibility of BLADE-sequence and DL-HASTE-sequence images.Quantitative assessments were carried out in terms of scan time,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR).Statistical analyses were performed using SPSS 24.0.Results DL-HASTE sequence behaved significantly better than BLADE in pancreatic duct edge sharpness,pancreatic duct visualization,lesion visibility,scan time and CNR,while worse in pane-reatic edge sharpness(all P＜0.05).There were significant differences between DL-HASTE and BLADE sequences in overall image quality and SNR(all P＞0.05).Conclusion The DL-HASTE sequence maintains image quality while significantly shor-tening scan time,making it suitable for patients with irregular respiratory rates.[Chinese Medical Equipment Journal,2025,46(3):59-63]
