Non-contrast enhancement of brachial plexus magnetic resonance imaging with compressed sensing

Muhammad Agus Pribowo, Muhammad Irvanie Rama Harahap, Vininta Fazharyasti, Yanurita Dwihapsari*, Yeti Kartikasari, Sugiyanto

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Purpose: To observe the quality of brachial plexus (BP) images obtained from magnetic resonance imaging (MRI) with 3D T2 STIR SPACE sequence and compressed sensing (CS) and to compare the results with BP images from the same sequence without CS. Methods: In this study, compressed sensing was applied to acquire non-contrast BP images from ten healthy volunteers with 3D T2 STIR SPACE sequence to shorten acquisition time without sacrificing image quality. The acquisition time of scanning with CS was compared to that without CS. The quantitative signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated and compared using paired t-test to determine the quality of images with and without CS. The qualitative assessment by three experienced radiologists was performed using a scoring scale from 1 (poor) to 5 (excellent) and analyzed for interobserver agreement on image quality. Results: The increasing SNR and CNR of images with CS were found in nine regions of BP images (p < 0.001) with faster acquisition time. The result of paired t-test (p < 0.001) illustrates the significant difference between images with CS compared to images without CS. The assessment of observers also shows higher scores for images with CS compared to images without CS. Conclusions: This study demonstrates that CS can effectively increase the visibility of images and image boundaries, SNR, and CNR of BP images obtained with 3D T2 STIR SPACE sequence with the good interobserver agreement and within clinically optimal acquisition time compared to images from similar sequence without CS.

Original languageEnglish
Article number110890
JournalEuropean Journal of Radiology
Volume165
DOIs
Publication statusPublished - Aug 2023

Keywords

  • Brachial plexus
  • Compressed sensing
  • Contrast-to-noise ratio
  • Fat suppression
  • Maximum intensity projection
  • Signal-to-noise ratio

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