Deng Mao1,2, Yang Li1, Peiying Liu1, Shin-Lei Peng3, and Hanzhang Lu1
1Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, MD, United States, 2Graduate School of Biomedical Sciences, Univ of Texas Southwestern Medical Center, Dallas, TX, United States, 3Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan
Synopsis
The present study aimed to further develop and investigate of a non-invasive, efficient and reproducible technique to map brain venous oxygenation in 3D. We first improved the processing pipeline by substracting angiogram to remove arterial content and apply threholdings to eliminate poor fitted and low signal voxels. We then calibrated T2* to oxygenation relationship in vitro using the same technique. In addition, we used hyperoxia challenge to test its sensitivity and combined TRUST MRI method for validation.Purpose
Knowledge
of venous oxygenation (Yv) forms the cornerstone toward quantitative estimation
of the brain’s oxygen extraction and consumption rate. However, measurements of
these parameters are historically a niche market of Positron Emission Tomography (PET). Recently, a novel MRI pulse sequence was proposed that aims
to estimate Yv via quantitative mapping of pure blood T2* in a vessel-specific
manner in the presence of tissue partial voluming [1]. Despite the initial
proof-of-principle, the validity of the method relative to other approaches and
its sensitivity in detecting oxygenation changes are not established. In the
present study, we aim to address the following issues: 1) while the previous
study included both arteries and veins and did not differentiate high fidelity
voxels from low ones, the present work devised an analysis pipeline that reports
reliable venous voxels only in the final map; 2) while the previous study used
a calibration plot based on literature, this study conducted in vitro
experiments to obtain a calibration plot that matches exactly the
sequence/parameter of the in vivo study; 3) we examined the sensitivity of the
technique to hyperoxia challenge; 4) we validated the results with a more
established TRUST MRI method [2], when evaluating global brain venous oxygenation.
Methods
Sequence and processing pipeline: This pulse sequence, T2*-Relaxation-Under-Phase-Contrast
(TRUPC), was proposed recently and it is essentially a multi-echo
phase-contrast sequence. It first separates out pure blood signal using phase
contrast and then acquires different T2* weighted images from multiple gradient-echoes,
the mono-exponential fit of which yields blood T2* even in the presence of tissue
partial voluming (Figure 1). In this work, we devised the following analysis
pipeline (Figure 2a)
in order to provide an oxygenation map that only includes high-fidelity venous
voxels. Arterial voxels will first be removed via a time-of-flight (TOF) angiogram,
leaving only the venous voxels. The venous voxel mask is further refined by
applying a threshold on delta R2/R2 of the fitting, weeding out voxels with
poor goodness-of-fit. Finally, voxels with low S0 were remove to
further eliminate unreliable voxels from the map.
Blood calibration experiment:
For the in vitro calibration, fresh
bovine blood samples were scanned at 37o using a TRUPC protocol
identical to that used in humans, from which we obtained a plot of T2* dependence
on both oxygenation (Y) and hematocrit (Hct).
Human experiment: Experiments were performed on a 3T (Philips).
4 subjects (2F, 26±2 yo) were studied under resting-state only but the TRUPC
sequence was repeated to test the reproducibility. Another 4 subjects (3F, 25±3
yo) were recruited for the hyperoxia study. The subjects were first scanned with
TRUPC under room-air breathing and again under hyperoxia state. The hyperoxic
gas is expected to increase blood oxygenation. The imaging parameters for TRUPC
were: 4 echoes; TR = 60ms; 1st TE/delta TE = 13ms/14ms; matrix size = 288x288x17; resolution = 0.7x0.7x5mm3; Venc = 9cm/s; flow
encoding direction: anterior-posterior; acquisition time = 9:48min. For
validation purposes, TRUST MRI was also performed.
Results and discussion
Figure 2b shows the step-by-step outcome of oxygenation map
using the proposed pipeline. As one can see, the original map contains both
arterial and venous vessels. With the application of angiogram, many of the
high-oxygenation (red), arterial voxels are eliminated. However, there is still
a considerable number of red-colored voxels remaining. This is because fitting
in the presence of large noise/fluctuation tends to result in high T2 values
and this was verified by Monte Carlo simulations. Therefore, thresholding on
delta R2/R2 and S
0 was applied and, with these additional criteria,
the final remaining voxels manifested primarily venous oxygenation levels
(Figure 2b), consistent with expectation. Coefficient-of-variation(CoV) of the
Yv map was 6.2±0.87%, suggesting high reproducibility. Figure 3 shows the
results of in vitro blood experiments, showing a strong dependence of T2* on Y
but also affected by hematocrit to some extent. With results in Figure 3,
venous T2* values can be converted to oxygenation. Figure 4a shows venous oxygenation maps during room air and hyperoxia from a
representative subject. As expected, venous oxygenation increases globally when
breathing hyperoxic gas. Across all subjects, Yv measured with TRUPC increased
by 9.0±2.6% (p<0.01). Figure 4b shows a scatter plot between average Yv measured with TRUPC and global Yv measured with TRUST MRI. A strong correlation can be seen (p<0.0001) between
the two measures.
Conclusion
With the TRUPC MRI pulse sequence and the proposed analysis
pipeline, it is feasible to obtain quantitative maps of venous oxygenation in
the human brain.
Acknowledgements
We would like to thank Hao Huang, PhD, Austin Ouyang, MS, Susumo Mori, PhD and Zhipeng Hou, PhD for their help with 3D image display. References
[1]
Mao & Lu. ISMRM 2015. [2] Lu & Ge. MRM 2008.