High-Speed Whole-Brain Oximetry with a Golden-Angle Radial Imaging Sequence
Wen Cao1, Yulin Chang1, Suliman Barhoum1, Zachary B Rodgers1, Michael C Langham1, Erin K Englund1, and Felix W Wehrli1

1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States

Synopsis

The OxFlow imaging approach allows simultaneous quantification of whole-brain venous oxygen saturation and total cerebral blood flow for the cerebral metabolic rate of oxygen. However, the current Cartesian rendition of the sequence is not ideal as the achievable temporal resolution is limited and needs to be chosen upfront. Here, we designed a golden-angle radial (GAR) encoding sequence that yields an effective temporal resolution of 1.29s and evaluated it in six subjects who underwent a paradigm of repeated breath-holds. Good agreement exists between the two methods but GAR provided superior SNR and better delineation of the temporal dynamics during the stimulus.

Introduction

The recently introduced OxFlow sequence for rapid measurement of the cerebral metabolic rate of oxygen (CMRO2) is based on Cartesian k-space coverage1. OxFlow simultaneously yields superior sagittal sinus (SSS) flow via phase-contrast and intravascular venous oxygen saturation (SvO2) via magnetic susceptometry2. Temporal resolution is enhanced by employing a BRISK view-sharing scheme, yielding a maximum temporal resolution of 3 seconds1,3. However, this approach is not ideal as it provides limited flexibility in that the temporal resolution has to be chosen a priori. In contrast, a golden-angle radial sampling strategy allows for a variety of reconstruction options tailored to the specific application’s needs.

Purpose: To design and validate a method for rapid quantification of whole-brain CMRO2 via simultaneous measurement of SvO2 and SSS blood flow using a velocity-encoded, multi-echo, golden-angle radial imaging sequence.

Methods

A radial OxFlow (rOxFlow) sequence (Figure 1) was designed in SequenceTree with sequence parameters closely matching the standard Cartesian version (cOxFlow)1. Sequence parameters: TR/TE=19.2 ms/6.752 ms , flip angle=15°, slice thickness=4 mm. Acquisition matrix size was 208×208 for cOxFlow (80% phase-encoding coverage, 176×176 FOV) and 240×240 for radial (15790 radial lines). Temporal resolution was 3s for cOxFlow and 1.29s for rOxFlow. Radial images were reconstructed every 34 views. The sequences were optimized for a protocol involving continuous scanning for 10 minutes.

All experiments were conducted at 1.5T (Siemens AVANTO). Results from rOxFlow were compared to cOxFlow in six volunteers during a volitional apnea paradigm. All subjects were instructed to perform five successive breath-holds, each 30s in duration, separated by 90s. For both rOxFlow and cOxFlow, SvO2 was calculated from 1st and 3rd echoes and phase-contrast velocity was computed from the first echo collected with different first gradient moments (Figure 1). Total CBF (tCBF) was estimated by upscaling SSS velocity by a factor acquired from a preceding calibration sequence1. Bland-Altman analysis4 was conducted to investigate inter-sequence bias. Means of baseline and peak SvO2 and velocity were averaged over 5 breath-hold and rest periods, respectively, from both Cartesian and radial data, and compared via paired t-tests.

Results

Figure 2 shows a sagittal scout angiogram and magnitude axial image indicating measurement locations. Sample velocity and phase cOxflow and rOxFlow images and response time courses are displayed in Figure 3 highlighting the similarity of the two sequences in both the parametric images and over the entire time course of the breath-hold response. A Bland-Altman plot comparing cOxFlow to rOxFlow in one subject during the time-course of the experiment is given in Figure 4. The data suggests minimal bias given that >95% of the differences were within the ±1.96 SD limit. Table 1 lists SvO2 and tCBF data in all six subjects as well as means and standard deviations. There was no significant difference between the two methods from the paired t-tests involving all six subjects for any of the parameters measured (p>0.20 in all cases).

Discussion & Conclusion

In general, the results from the two sequences were found to be in good agreement with each other. While the data from the six subjects did not suggest a bias between sequences, comparisons involving a larger number of subjects would be required to corroborate this result. In addition to providing superior effective temporal resolution, rOxFlow was found to have better SNR than its Cartesian counterpart.

Acknowledgements

This work was supported by NIH R01-HL122754

References

[1] Rodgers, et al. JCBFM 2013; [2] Fernández-Seara, et al. MRM 2006; [3] Rodgers, et al. JCBFM 2015; [4] Bland & Altman, Lancet 1986.

Figures

Figure 1. RF-spoiled, velocity-encoded, multi-echo GRE. The positive and negative velocity encoding (i.e. 1st moment) is implemented by changing the position of a gradient pulse as labeled as “+” and “-,” respectively, to minimize eddy current effects. cOxFlow and rOxFlow differ only in the manner k-space is traversed.

Figure 2. Localization of superior sagittal sinus (SSS): a) Representative sagittal plane maximum intensity projection venogram used to prescribe the axial slice of interest; b) OxFlow slice selected from the venogram as the “straightest” SSS segment approximately parallel to the main field.

Figure 3. Field and velocity maps showing SSS: Sample phase difference images used to compute SvO2 (Left) and velocity images (Middle) at baseline and during peak reactivity for both Cartesian and radial acquisition. The average time course of the SvO2 and tCBF responses to the breath-hold challenge is shown (Right).

Figure 4. Standardized Bland-Altman scatter plot for successive measurements during a 10-minute scan in one subject showing absence of significant bias between cOxFlow and rOxFlow sequences (resampled to match cOxFlow data points).

Table 1. Baseline and peak tCBF and SvO2 in physiologic unites for all six subjects obtained by cOxFlow and rOxFlow. Note close mutual agreement between global means.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
3349