The Communicating Arteries Redistribute Blood Flow in the Circle of Willis with Hypoplastic Segments: Intracranial 4D flow MRI at 7 Tesla
Pim van Ooij1, Matthan Caan1, Bart M. W. Cornelissen2, Henk A Marquering2, Pieter Buur3, Gustav J Strijkers2, Jeroen Hendrikse4, and Aart J Nederveen1

1Radiology, Academic Medical Center, Amsterdam, Netherlands, 2Biomedical Engineering & Physics, Academic Medical Center, Amsterdam, Netherlands, 3Spinoza Center for Neuroimaging, Amsterdam, Netherlands, 4Radiology, University Medical Center Utrecht, Utrecht, Netherlands

Synopsis

In this study it was investigated if the communicating arteries redistribute blood flow in the circle of Willis (coW) with hypoplastic arteries. For this purpose, 4D flow MRI at 7 Tesla was used in ten healthy volunteers. 50% of the participants had a full coW, whereas 50% had hypoplastic or missing segments. Significant correlations were found for time-averaged blood flow (mL/s) between the left /right posterior communicating artery and the left/right posterior cerebral artery and between the anterior communicating artery and the right anterior cerebral artery. This finding illustrates that flow is redistributed through the communicating arteries in the coW.

Purpose

Recently, the feasibility of measuring blood flow in the small communicating arteries in the circle of Willis (coW) with 4D flow MRI at 7T was demonstrated1. The communicating arteries have an important role in redistributing blood to the different parts of the brain. However, it is well known that considerable anatomic variation in the coW exists in the healthy population. In this study, we investigated with 4D flow MRI at 7T if reduced blood flow in hypoplastic or absent cerebral arteries is compensated by increased blood flow in communicating arteries.

Methods

Ten healthy volunteers (4 men, 6 women, mean age: 24±2 years, range: 20-27 years) underwent a retrospectively PPU (peripheral pulse unit) gated 4D flow MRI examination on a 7T scanner (Achieva, Philips Healthcare, Cleveland, USA). Non-interpolated spatial resolution was 0.47x0.47x0.50 mm3; TE/TR/FA was 3.1/6.8/20°; VENC was 150 cm/s in the x,y and z-directions. The number of reconstructed cardiac phases ranged from 8 to 13 (mean: 11±2) at a heart rate of 51 to 85 beats per minute (mean: 63±11), resulting in a temporal resolution range of 85-105 ms (mean: 90±7 ms). The scan was accelerated with a SENSE factor of 3 in the right-left direction. Phase images were corrected for concomitant field and eddy current related phase offsets. The lumen of the coW was semi-automatically segmented using commercial software (Mimics, Materialise, Leuven, Belgium). The post-processed images were imported into GTFlow (Gyrotools, Zurich, Switzerland) to visualize pathlines and to quantify blood flow by placing perpendicular planes to the vessels of interest. Flow averaged over the cardiac cycle was measured in the left and right posterior cerebral arteries (L/RPCA), the left and right anterior cerebral arteries (L/RACA), the left and right posterior communicating arteries (L/RPCoA) and the anterior communicating artery (ACoA). Arteries for which flow quantification was not possible due to absence, inability to segment or hypoplasia were excluded from the analysis. Linear regression was used to compare flow values in the LPCA with the LPCoA, the RPCA with the RPCoA, the LACA with the ACoA, the RACA with the ACoA and the LACA with the RACA. The coefficient of correlation (R2) was calculated and P<0.05 was considered a significant correlation.

Results

The left and right ACA and the left and right PCoA could be segmented in 9 subjects. The right PCA could be segmented in 8 subjects, whereas the left PCA was segmented in all subjects. The ACoA could be segmented in 9 subjects. In figures 1, 2 and 3, examples are shown of pathlines color-coded for velocity in subjects with a full coW, a coW with a hypoplastic (or absent) RPCA and a coW with a hypoplastic RACA and RPCA. Significant correlations were found for time-averaged flow values in the LPCoA and LPCA, RPCoA and RPCA and ACoA and RACA (figure 4, table 1). Non-significant trends towards flow redistribution were found for ACoA/LACA and LACA/RACA (table 1).

Discussion

Two volunteers had hypoplastic RACAs whereas none had hypoplastic LACAs. Therefore, the ACoA/RACA and LACA/RACA correlations had negative slopes, whereas the ACoA/LACA correlation had a positive slope (more blood flow in the ACoA and LACA related to less flow in the RACA). Such findings will be different if hypoplastic RACAs are present in the cohort, which was not the case. In this small group of young volunteers, 50% of the subjects had coWs with all arteries present without hypoplasia. This number is comparable with numbers reported in the literature2. Even at 7T, the image quality of the non-contrast enhanced 4D flow MRI data at a spatial resolution of 0.5 mm does not always allow for segmentation of all arteries. This is partly caused by increased noise in the center of the field of view (where the coW is located) due to SENSE acceleration and the accompanying g-factor increase. More advanced acceleration techniques such as compressed sensing may produce images with higher SNR. However, in most of the subjects, the data quality was sufficient to segment the small arteries to show that flow was redistributed in subjects with hypoplastic arteries.

Conclusion

In this study, significant correlations were found for time-averaged flow between the PCoAs and the PCAs and the ACoA and the RACA using 4D flow MRI at 7T. This finding illustrates that flow is redistributed through the communicating arteries in the coW.

Acknowledgements

No acknowledgement found.

References

1. van Ooij P, Zwanenburg JJ, Visser F et al. Quantification and Visualization of Flow in the Circle of Willis: Time-Resolved Three-Dimensional Phase Contrast MRI at 7 T Compared with 3 T, Magn Res Med 2013; 69:868-876

2. Kapoor K, Singh B, Dewan LIJ. Variations in the configuration of the circle of Willis, Anatomical Science International, 2008; 83(2):96-106

Figures

Figure 1. Velocity pathlines in a full circle of Willis with normal blood flow distribution.

Figure 2. Velocity pathlines in a circle of Willis with a hypoplastic (or missing) right PCA. Velocity values and diameter are increased in the right PCoA compared to the left PCoA.

Figure 3. Velocity pathlines in a circle of Willis with a hypoplastic right ACA and right PCA. Velocity values are increased in the ACoA compared to the normal circle of Willis displayed in figure 1. Velocity values and diameter are increased in the right PCoA compared to the left PCoA.

Figure 4. Relations for redistribution of flow between the LPCoA and the LPCA (blue circle), RPCoA and RPCA (red triangle), the ACoA and the LCA (green square) and the ACoA and the RACA (purple plus sign). The relation between LACA and RACA is not shown.

Table 1. R2, slopes and P-values for the linear regression analysis for time-averaged flow redistribution (mL/s) in the arteries of interest



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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