Insights into Imaging (Dec 2021)

Intensity of arterial structure acquired by Silent MRA estimates cerebral blood flow

  • Zhen-An Hwang,
  • Chia-Wei Li,
  • Chien-Yuan Eddy Lin,
  • Jyh-Horng Chen,
  • Chia-Yuen Chen,
  • Wing P. Chan

DOI
https://doi.org/10.1186/s13244-021-01132-0
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 9

Abstract

Read online

Abstract Background Cerebral blood flow (CBF) and the morphology of the cerebral arteries are important for characterizing cerebrovascular disease. Silent magnetic resonance angiography (Silent MRA) is a MRA technique focusing on arterial structural delineation. This study was conducted to investigate the correlation between Silent MRA and CBF quantification, which has not yet been reported. Methods Both the Silent MRA and time-of-flight magnetic resonance angiography scans were applied in seventeen healthy participants to acquire the arterial structure and to find arterial intensities. Phase-contrast MRA (PC-MRA) was then used to perform the quantitative CBF measurement of 13 cerebral arteries. Due to different dataset baseline signal level of Silent MRA, the signal intensities of the selected 13 cerebral arteries were normalized to the selected ROIs of bilateral internal carotid arteries. The normalized signal intensities were used to determine the relationship between Silent MRA and CBF. Results The image intensity distribution of arterial regions generated by Silent MRA showed similar laminar shape as the phase distribution by PC-MRA (correlation coefficient > 0.62). Moreover, in both the results of individual and group-leveled analysis, the intensity value of arterial regions by Silent MRA showed positively correlation with the CBF by PC-MRA. The coefficient of determination (R 2) of individual trends ranged from 0.242 to 0.956, and the R 2 of group-leveled result was 0.550. Conclusions This study demonstrates that Silent MRA provides valuable CBF information despite arterial structure, rendering it a potential tool for screening for cerebrovascular disease.

Keywords