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Research progresses of MRI double inversion recovery sequence in central nervous system diseases
XIAO Qian  CHU Shuguang  LIN Lin  LIANG Songtao 

Cite this article as: XIAO Q, CHU S G, LIN L, et al. Research progresses of MRI double inversion recovery sequence in central nervous system diseases[J]. Chin J Magn Reson Imaging, 2024, 15(9): 146-150, 166. DOI:10.12015/issn.1674-8034.2024.09.025.


[Abstract] Double inversion recovery (DIR) is an imaging sequence that suppresses two different tissue signals by applying two inversion pulses. Although the imaging time of DIR sequence is relatively longer than that of other conventional sequences, DIR imaging shows better white-gray contrast, lesion sensitivity and specificity in the detection of central nervous system diseases, especially the detection of cortical and juxtacortical lesions. In recent years, DIR technology has made continuous progress, which has improved the spatial resolution, acquisition speed, signal-to- noise ratio and reduced image artifacts. DIR imaging has wide promising applications in a variety of central nervous system diseases. This article reviews the imaging principle, technological development of DIR sequence and its value in central nervous system diseases, aiming to provide a new way for the diagnosis and prognosis of central nervous system diseases in the future.
[Keywords] magnetic resonance imaging；double inversion recovery；central nervous system diseases；cortical lesions；optic lesions

XIAO Qian1   CHU Shuguang2*   LIN Lin2   LIANG Songtao2  

1 Shanghai East Hospital, Dalian Medical University, Shanghai 200120, China

2 Department of Medical Imaging, Shanghai East Hospital, Shanghai 200120, China

Corresponding author: CHU S G, E-mail: chushu1018@hotmail.com

Conflicts of interest   None.

Received  2024-05-16
Accepted  2024-08-12
DOI: 10.12015/issn.1674-8034.2024.09.025
Cite this article as: XIAO Q, CHU S G, LIN L, et al. Research progresses of MRI double inversion recovery sequence in central nervous system diseases[J]. Chin J Magn Reson Imaging, 2024, 15(9): 146-150, 166. DOI:10.12015/issn.1674-8034.2024.09.025.

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