Application value of deep learning reconstruction technology in enhancing the imaging efficiency and quality of HASTE and DWI sequences for liver MRI
10.19405/j.cnki.issn1000–1492.2026.05 019
- VernacularTitle:深度学习重建技术用于提升肝脏MRI中HASTE与DWI序列成像效能及质量的应用价值
- Author:
Lulu FENG
1
;
Zhili PAN
1
;
Yingming ZHAO
1
Author Information
1. Department of Radiology，The First Affiliated Hospital of USTC，Division of Life Sciences and Medicine， University of Science and Technology of China， Hefei 230001
- Publication Type:Journal Article
- Keywords:
deep learning reconstruction;
signal to noise ratio;
contrast to noise ratio;
image quality;
magnetic resonance imaging
- From:
Acta Universitatis Medicinalis Anhui
2026;61(5):937-942
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo explore the value of deep learning reconstruction （DLR） in liver magnetic resonance imaging （MRI） by comparing the single-shot half-fourier rapid spin-echo sequence with DLR （HASTEDLR） and diffusion-weighted imaging sequence with DLR （DWIDLR） against the conventional BLADE and conventional DWI sequences. Methods70 patients underwent MRI examinations. Two observers independently evaluated the image quality of each sequence （including liver edge， blood vessels， lesion clarity， etc.）. Additionally， quantitative evaluation was conducted by measuring the signal to noise ratio （SNR） of liver parenchyma and lesions， contrast to noise ratio （CNR） of lesions， as well as apparent diffusion coefficient （ADC） values from conventional DWI and DWIDLR. Intraclass correlation coefficient （ICC） was used to evaluate the consistency between the two observers. ResultsThe inter-observer consistency was high （ICC： 0.84-0.97）. The scanning time was reduced by 92.63% for HASTEDLR and 50% for DWIDLR sequences， respectively. The lesion clarity score of the HASTEDLR group was significantly better than that of the BLADE group （P<0.001）， with artifacts reduced in both DLR sequences （P< 0.05）. The HASTEDLR group demonstrated higher SNR and CNR， while the DWIDLR group showed higher SNR and ADC values （all P<0.05）. ConclusionThe DLR technology can enhance the efficiency of liver MRI scans， improve image quality， and reduce artifacts， demonstrating promising application prospects.
