Abstract
Purpose
We sought to develop and test a clinically feasible 1-point Dixon, 3D radial acquisition strategy to create isotropic 3D MR images of 129Xe in the airspaces, barrier, and red blood cells (RBCs) in a single breath. The approach was evaluated in healthy volunteers and subjects with idiopathic pulmonary fibrosis (IPF).
Methods
A calibration scan determined the TE at which 129Xe in RBCs and barrier were 90° out of phase. At this TE, interleaved dissolved and gas-phase images were acquired using a 3D radial acquisition and were reconstructed separately using the NUFFT algorithm. The dissolved-phase image was phase-shifted to cast RBC and barrier signal into the real and imaginary channels such that the image-derived RBC:barrier ratio matched that from spectroscopy. The RBC and barrier images were further corrected for regional field inhomogeneity using a phase map created from the gas-phase 129Xe image.
Results
Healthy volunteers exhibited largely uniform 129Xe-barrier and 129Xe-RBC images. By contrast, 129Xe-RBC images in IPF subjects exhibited significant signal voids. These voids correlated qualitatively with regions of fibrosis visible on CT.
Conclusions
This study illustrates the feasibility of acquiring single-breath, 3D isotropic images of 129Xe in the airspaces, barrier, and RBCs using a 1-point Dixon 3D radial acquisition.
Keywords: 1-point Dixon, Hyperpolarized xenon, 3D Radial
Introduction
While hyperpolarized (HP) 3He MRI has enabled imaging of pulmonary structure, recent years have seen increasing progress demonstrating that HP 129Xe can serve as a sustainable and economically viable replacement for this scarce gas (1). Like 3He, 129Xe provides a non-invasive, ionizing radiation-free probe of pulmonary structure (2) and airway patency. Additionally, HP 129Xe is well-tolerated (3,4), enables quantitative ventilation imaging (2,5), and produces diffusion-weighted images that reveal emphysematous structural changes (6,7). However, the most significant opportunity is to use the solubility and chemical-shift of 129Xe in the lung to visualize gas-exchange.
Upon inhalation, the bulk of the 129Xe gas remains in the airspaces, but because it is soluble in pulmonary tissues (Ostwald solubility of 0.27 in red blood cells (RBCs) and 0.10 in barrier/blood-plasma (8)), a small fraction of 129Xe enters these compartments. This dissolved-phase, in humans, is comprised of two distinct resonances corresponding to 129Xe in interstitial tissue and plasma, referred to collectively as the barrier (198 ppm), and 129Xe in the RBCs (217 ppm). Because 129Xe traverses the same path as oxygen through the barrier to the RBCs, and because these compartments can be distinguished by their chemical-shift, 129Xe has the potential to serve as an almost ideal probe of diffusive gas-exchange.
However, imaging the dissolved-phase 129Xe is challenging given its short T2* of ~2 ms at 1.5T (9), and because the magnetization in these compartments is only 1–2 % of 129Xe in the gas-phase (10). As a result, the early imaging efforts employed chemical-shift imaging (11), or indirect techniques such xenon polarization transfer contrast (12). However, the small dissolved-phase magnetization can be directly imaged as its magnetization is continuously replenished by 129Xe diffusing in from the airspaces. Moreover, the short T2* can be overcome by employing 3D radial acquisitions that sample the FID with a sub-millisecond echo-time (TE). Recently, these insights have enabled direct 3D dissolved-phase imaging in human subjects within a single breath-hold (13). This technique was subsequently extended to concurrently acquire the gas-phase source distribution in the same breath (14), which led to the ability to quantify the impact of posture on the dissolved-phase distribution (15). However, these early approaches treated the dissolved-phase as a single entity, rather than individually quantifying 129Xe in the barrier and RBC compartments.
The importance of separating 129Xe gas-transfer into its barrier and RBC constituents was recently illustrated by spectroscopic studies of patients with idiopathic pulmonary fibrosis (IPF). IPF is a form of interstitial lung disease that is characterized by progressively increasing collagen deposition and interstitial inflammation (16). The associated thickening of the blood-gas barrier that impairs diffusive oxygen uptake also impairs the diffusive replenishment of 129Xe magnetization in the RBCs. Consequently, global gas-transfer spectra demonstrated that the ratio of 129Xe uptake in the RBCs vs. barrier (RBC:barrier) was 3.3-fold lower in IPF patients than in healthy volunteers (10). Interestingly, this ratio correlated well with conventional physiologic measurements of gas-exchange (DLCO, r=0.89). In healthy subjects, the RBC:barrier was sensitive to changes in capillary blood volume and alveolar pressure. Beyond these ratios, the frequency of 129Xe in the RBC compartment appeared to be sensitive to oxygenation at the capillary level. Hence, this spectroscopic study suggests that if the RBC and barrier compartments could be individually visualized by imaging, such images could provide fundamental insights about regional gas-exchange.
Separating 129Xe uptake in the barrier and RBCs is similar to the more familiar problem of fat-water separation in 1H MRI (17). Like fat and water, which at 1.5T are separated by ~220 Hz, 129Xe in the barrier and RBC compartments are separated by ~340 Hz. However, unlike 1H in fat and water, 129Xe in the pulmonary RBC and barrier tissues experience a very short T2*, which constrains the available acquisition time for typical, well-known Dixon techniques. Therefore, early efforts to generate separate images of 129Xe in the barrier and RBCs in a rat model of fibrosis utilized the simpler 1-point Dixon technique (18). This approach acquires images at a single TE such that when the center of k-space is sampled, the two resonances are 90° out of phase. By subsequently phase-shifting the image, the RBC and barrier signals are largely confined to the real and imaginary receiver channels. This first study generated only 2D images, but the approach was recently extended to acquire 3D isotropic images of the two compartments in a rat model of late-stage fibrosis (19). Both studies showed that while the 129Xe uptake in the barrier compartment was largely unaffected, 129Xe uptake in RBCs was markedly reduced in fibrotic regions.
A significant advance in translating 129Xe gas-transfer clinically was recently made by Qing et al. who separated the barrier and RBC images using the hierarchical IDEAL algorithm (20). This extension of the original IDEAL approach allows data to be acquired at multiple (and arbitrary) TEs, while the B0 inhomogeneity is iteratively calculated and corrected at multiple resolution levels to decompose the RBC and barrier images. One challenge of the IDEAL algorithm is that it requires images to be acquired at 3 TEs, which is challenging given the short dissolved-phase T2*. However, Qing et al. overcame this by employing very high 129Xe polarizations and demonstrated well-separated images that correlated with global spectroscopic measures (20).
In this work, we present the clinical translation of the 1-point Dixon approach to separately image 129Xe in the barrier and the RBCs using only a single, sub-millisecond TE. Such short TEs reduce T2* blurring and enable increased k-space sampling within a single breath-hold. By further acquiring an interleaved gas-phase image, we can image all three compartments in a single breath-hold. This single-resonance gas-phase image can be used to create a phase map and correct for B0 inhomogeneity. As an initial test of this method, we chose to compare images acquired in healthy volunteers and patients with IPF. This patient population is advantageous as they experience significant diffusion-limitation caused by interstitial thickening of the blood-gas barrier, which reduces 129Xe uptake in RBCs (10). Hence, 129Xe gas-transfer to RBCs was expected to exhibit focal gas-transfer defects. Moreover, patients with IPF exhibit features of traction bronchiectasis, honeycombing, reticular and ground glass opacities, and consolidation in their CT images, which helps to qualitatively validate the 1-point Dixon imaging approach.
Methods
Subject Inclusion and Exclusion Criteria
Studies were approved by the Duke Institutional Review Board and were conducted under IND 109,490. Written, informed consent was obtained from all subjects prior to the scan. Data was acquired in 4 healthy volunteers, and 3 subjects with IPF, one of whom was imaged again 9 months later. All subjects were at least 18 years of age (healthy volunteers – 3 men, 1 woman, age = 44.0 ± 19.4 years; IPF subjects – 3 men, age = 64.7 ± 8.7 years). The healthy volunteers had less than a 5 pack-year smoking history, had not smoked in the last 5 years, and had no diagnosed pulmonary disorders. Subjects were excluded if they had a history of cardiac arrhythmias, were pregnant or lactating, or had a respiratory illness within 30 days of MRI.
129Xe Polarization and Delivery
Isotopically enriched 129Xe (85%) was polarized to 10–15% by rubidium-vapor spin-exchange optical pumping (21) using a commercially available polarizer (Model 9800, Polarean, Inc., Durham, NC). Xenon was cryogenically accumulated and thawed into a Tedlar bag and polarization was determined using a polarization measurement station (Model 2881, Polarean, Inc.). Prior to gas inhalation, the subjects were instructed to inhale to total lung capacity and exhale to functional residual capacity twice. Subsequently, the contents of the bag were inhaled via a mouthpiece connected to the bag through a 6-mm ID Tygon tube, and the subjects held their breath for the duration of the scans (13–15 s). As explained below, to establish the correct TE for Dixon imaging, subjects first underwent a calibration scan, where they received a mixture of 400 ml of HP 129Xe and 600 ml of ultra-high-purity N2. For the subsequent gas-transfer image, subjects received a 1-L dose of HP 129Xe. The subject’s heart rate and oxygen saturation were monitored using an MR-compatible monitoring system (GE Healthcare, Helsinki Finland).
Image Acquisition and Reconstruction
The 1-point Dixon acquisition requires solving three problems. First, it is necessary to find the echo-time, TE90, at which the RBC and barrier resonances are 90° out of phase. Second, the image must be phase-shifted such that the RBC-dominant signal becomes aligned with the in-phase channel of the scanner, and the barrier-dominated image is aligned with the quadrature channel. And finally, the images must be further corrected for any phase variation caused by B0 inhomogeneity. These steps are achieved as follows.
a) Calibration spectra to determine TE90
In principle, the TE90 can be simply calculated based on the known RBC-barrier frequency difference (Δf), given by . Hence, after application of a hypothetical infinitely short pulse, a frequency difference of 340 Hz would cause a 90° phase-difference to occur at TE90 = 735 μs. However, the RF pulse used to excite the dissolved-phase 129Xe selectively is relatively long (1.2 ms), and therefore significant phase evolution occurs before the magnetization reaches the transverse plane. Moreover, it has been shown that the TE90 varies according to the extent of fibrosis and inflammation because this changes 129Xe compartmental exchange between the barrier and RBCs (19). Hence, for each subject in our study the TE90 was empirically determined as outlined in Figure 1A. In a single breath, dissolved-phase spectra were acquired in an interleaved manner, at four progressively longer TEs of 275, 375, 475, and 575 μs. (Echo time has been defined from the end of the 1.2-ms 3-lobe sinc pulse to acquisition of the first data point.) The other acquisition parameters were: number of points = 512, dwell-time = 16 μs, flip-angle = 22°, TR = 50 ms, NEX = 50. After acquisition of each spectrum, crusher gradients (amplitude = 3.3 G/cm, total duration = 3 ms) were played out on all three gradient axes to de-phase the long-lived off-resonance gas-phase signal. Once dissolved-phase spectra had been acquired, transmit and receive frequencies were changed to the gas-phase resonance (−3832 Hz) and a single gas-phase reference spectrum was acquired at TE = 275 μs.
The data were processed using routines written in MATLAB (The MathWorks, Inc., Natick, MA). The first 25 FIDs at each TE were discarded to avoid the presence of “downstream magnetization” from 129Xe in the larger vasculature. The remaining 25 FIDs were averaged, exponentially line-broadened by 50 Hz, and Fourier transformed to generate a dissolved-phase spectrum with a small gas-phase reference peak. The complex spectrum was then fit using a non-linear least-squares optimization algorithm to a sum of Lorentzian and Dispersive functions to extract the amplitude, frequency, width, and phase of each resonance at each TE (10). The phase-difference between RBC and barrier was fit as a function of TE by linear-regression to determine the TE90. Additionally, the spectrum acquired at a TE of 275 μs was used to calculate the area under the curve of each resonance, which was then used to calculate the ratio of the RBC and the barrier signals (RBC:barrier). As described later, this ratio was used in calculations that determined the receiver phase-offset required to align the RBC and barrier components of the dissolved-phase image to the real and imaginary receiver channels.
b) Image acquisition and workflow
Images were acquired on a 1.5-T scanner (GE EXCITE 15M4). Subjects were fitted with a quadrature vest coil tuned to the 129Xe resonance frequency at 17.66 MHz (Clinical MR Solutions, Brookfield, WI). The coil was proton-blocked to enable 1H imaging with the scanner’s body coil.
Single-breath gas and dissolved-phase images were acquired during a 15-sec breath-hold using 1-L of HP 129Xe and a 3D radial sequence (15), with the TE set to the TE90. Transmit and receive frequencies were alternated between the gas and RBC resonance (+3832 Hz) to acquire each radial ray of k-space, which were distributed pseudo-uniformly in both k-space and time using a 3D golden-means sampling strategy (20,22). [Acquisition parameters: 1200-µs sinc pulse, matrix=32×32×32, flip-angles = 0.5/22°, number of rays = 2002 (1001 at each frequency), FOV = 40 cm, TE/TR = TE90/7.5 ms, receiver bandwidth = 15.625 kHz]. The gas and dissolved-phase data were separately reconstructed onto a 64×64×64 matrix using a NUFFT reconstruction algorithm (23) to generate isotropic, 3D gas and dissolved-phase images.
To help delineate the thoracic cavity, a 3D radial 1H image was acquired during a separate 15-s breath-hold. In order to achieve approximately the same lung inflation as during the 129Xe scan, the subject inhaled 1L of air from a polyethylene bag. These images were acquired using: 274-µs hard RF pulse, TE/TR = 0.199/2.4 ms, matrix = 64×64×64, number of rays = 5647, 512 dummy pulses to achieve steady state magnetization, flip-angle = 5°, bandwidth = 15.625 kHz, and FOV = 40 cm.
Image Processing and Analysis
a) Image registration and segmentation
In order to confine the analysis to the thoracic cavity, the 1H images were registered to the 129Xe gas-phase images via a multi-resolution affine transformation using the Image Registration Toolkit (24). The registered 1H images were segmented using seed-based region growing implemented in 3DSlicer (2) to generate the thoracic cavity mask. This mask was morphologically closed using a spherical structuring element with a 7-voxel diameter, and ‘filled’ to remove any additional holes in the mask, and was then manually segmented to remove the major airways in MATLAB.
b) Determining the receiver phase offset
Although imaging at TE90 ensures that RBC and barrier signals are 90° out of phase relative to one another, the two compartments are not necessarily aligned with the real and imaginary receiver channels because the scanner imparts an arbitrary phase shift φ0 to the data. Assuming the images were acquired at exactly TE90, the signal (S) at the center of k-space (k0) can be written as
[1] |
where SRBC and SBarrier are the signal contributions from the RBC and barrier resonances. Applying a phase shift Δφ, that is exactly opposite to φ0 would align the RBC and barrier signals with the real and imaginary receiver channels, but it is not known a priori. Instead, applying an arbitrary phase shift Δφ yields a signal
[2] |
We now use the additional constraint that when the correct phase shift Δφ is applied, the ratio of the total RBC and barrier signal intensity within the thoracic cavity obtained from imaging, must match that measured by spectroscopy (10). We designate this spectroscopic ratio as R, and solve for Δφ using . To compute the real to imaginary ratio from the phase-shifted image, we expand the complex signal in Equation 2 into its real (SRe) and imaginary (SIm) components. By defining SRBC=R×Sbarrier, the resulting ratio of the real and imaginary image data within the thoracic cavity can then be written as a function only of the phase shift Δφ applied, and the ratio R.
[3] |
Note that when the correct phase shift Δφ=−φ0 has been applied, equation 3 reduces to SRe/SIm=R, as required. Prior to making this calculation an additional correction must be made to account for the spectroscopic ratio having been acquired at a longer TR (50ms) compared to the imaging scan (effective TR of 15ms). The effect of TR on RBC:barrier ratio was estimated by solving the Ernst equation for steady-state RBC and barrier signals, but employing diffusive replenishment instead of the conventional thermal recovery term 1 − e−TR/T1. This calculation suggested the spectroscopic RBC:barrier ratio will be ~6.5% higher than the imaging ratio. Hence, the spectroscopic ratio R used to solve equation 3 was reduced by 6.5% prior to calculating the required receiver phase-offset. The phase shift Δφ was determined (Figure 2A) by plotting SRe/SIm over a range of receiver phase offsets [0, π] and fitting it to Equation 3 using a non-linear least-squares optimization algorithm. The dissolved image was then phase-shifted by Δφ=−φ0 to align the RBC image to the real channel, and the barrier to the imaginary channel of the receiver.
c) Correcting for local phase inhomogeneity
The acquisition described thus far assumes that the only source of phase evolution between RBC and barrier is their frequency difference. However, phase differences can also be locally imparted by B0 inhomogeneity. Fortunately, the inherently co-registered gas-phase 129Xe image is comprised of only a single resonance, which makes any phase variation it exhibits attributable to B0 inhomogeneity. Because gas-phase images were acquired at only a single TE, a phase-map was first generated, and then its mean was subtracted to create a ‘differential phase map’. This differential phase map was then applied on a pixel-by-pixel basis to the RBC and barrier images to correct for B0 inhomogeneity.
d) Maps of lung function
In addition to the native 129Xe-barrier and 129Xe-RBC images, several additional maps were found to be helpful in visualizing regional function. First, analogous to the spectroscopic RBC:barrier ratio, the RBC image was divided by the barrier image on a voxel-by-voxel basis to create an RBC:barrier map. Similarly, to gauge subtle differences in the RBC and barrier intensity, the RBC and barrier images were divided by the gas-phase images to yield the barrier:gas and RBC:gas maps (20). They were scaled by the 99th percentile of their cumulative distribution function (25) to limit their range to between 0 and 1.
Similar to ventilation images, the 129Xe-RBC gas-transfer images were expected to exhibit regional gas-transfer defects in areas of fibrosis, and therefore gas-transfer defect maps were generated. The 129Xe-RBC images were also scaled to range from 0 – 1, and only regions with a signal intensity lower than 0.1 were included in the gas-transfer defect map (25). The volume of gas-transfer defects was divided by the thoracic cavity volume to calculate the gas-transfer defect percentage. To test the validity of this imaging approach, a trained thoracic radiologist compared gas-transfer defects perceived in the 129Xe-RBC images to structural features in the patient’s CT images. The CT images were classified into three clusters of fibrotic severity – none, mild, severe, and the number of defects seen in each cluster were quantified.
Results
Single-breath images of 129Xe in the gas and dissolved-phases were successfully acquired in all the subjects scanned and all dissolved-phase images were decomposed into the 129Xe-barrier and 129Xe-RBC images. Subject demographics are summarized in Table 1, along with spectroscopic and imaging-derived RBC:barrier ratios, RBC-barrier frequency differences, and the TE90. This table also shows the data obtained in subject 3, 9 months after the initial scan (subject 3A).
Table 1.
Subject # | Age (years) |
RBC:barrier | Δf
(Hz) |
TE90
(μs) |
||
---|---|---|---|---|---|---|
Spectroscopy | TR- corrected ratio |
Imaging | ||||
Healthy Volunteers | ||||||
1 | 56 | 0.49 | 0.46 | 0.45 | 349.9 | 411 |
2 | 65 | 0.53 | 0.50 | 0.50 | 328.9 | 407 |
3 | 29 | 0.46 | 0.43 | 0.44 | 323.0 | 470 |
4 | 26 | 0.64 | 0.60 | 0.59 | 330.1 | 427 |
IPF Subjects | ||||||
1 | 72 | 0.16 | 0.15 | 0.16 | 311.8 | 285 |
2 | 67 | 0.16 | 0.15 | 0.16 | 303.4 | 163 |
3 | 55 | 0.17 | 0.16 | 0.14 | 287.3 | 259 |
3A | 55 | 0.14 | 0.13 | 0.13 | 307.5 | 256 |
As seen by the variability in TE90 and lack of correlation to RBC-barrier frequency difference, the phase calibration scan was important to accurately calculate the TE90 for each subject. Interestingly, although the RBC-barrier frequency difference was 40 Hz smaller in the IPF group, the resulting TE90 was actually shorter (0.24 ± 0.06 ms for IPF, 0.43 ± 0.03 ms for healthy). As shown in Figure 1B, increasing TE caused the phase difference between the RBC and barrier resonances to increase commensurately, as expected. For healthy volunteers, the relative phase accumulation with TE (slope) agreed with theoretical predictions (132.6 ± 4.7° ms−1 vs 119.8 ± 4.2° ms−1 predicted). The IPF patients, despite exhibiting a smaller RBC-barrier frequency difference, exhibited phase accumulation that was faster than expected (155.5 ± 18.2° ms−1 vs 110.7 ± 1.5° ms−1 predicted). Additionally, the linear-regression of RBC-barrier phase-difference as a function of TE yielded a positive intercept for all subjects; the intercept was moderately lower in the healthy volunteers (33.34 ± 4.1°) than in the IPF subjects (54.9 ± 9.5°).
The calculation of phase-shifts and their effects on the real and imaginary images are shown in Figure 2. The effect of phase-shift on image-derived RBC:barrier ratio is illustrated in Figure 2A. For this healthy subject with a corrected spectroscopic RBC:barrier ratio of R=0.43, a phase shift of Δϕ = 87.7° (inset) was needed to obtain the same ratio from imaging. After applying only the −87.7° phase shift, the real channel exhibits an apparent ‘defect’ in the basal portion of the left lung (white arrow, Figure 2B). However, this apparent defect originates from B0 inhomogeneity, which is seen in the spatially varying phase of the single-resonance gas-phase image (Figure 2C). This map exhibited a phase ranging from about −45° to 45° across the lung, with the highest phase accumulation observed in the basal lung near the diaphragm. After correcting for this B0 inhomogeneity, the apparent defect at the base of the lung has resolved (Figure 2D). Despite the visually apparent change in real and imaginary signal distribution seen in Figure 2, phase-correction only increased the image-derived RBC:barrier ratio minimally in this subject (0.43 to 0.44). In all healthy subjects, phase-map correction caused the RBC:barrier ratio to decrease by only −0.81 ± 1.48%. For the IPF subjects, it caused the RBC:barrier ratio to increase slightly (5.67 ± 1.79%.)
Figure 3 shows fully phase-corrected Dixon images depicting the 129Xe-barrier and 129Xe-RBC uptake along with the gas-phase 129Xe distribution in a healthy volunteer and a subject with IPF. For the healthy volunteer, all three images are largely homogeneous with the signal intensity increasing moderately in the dependent lung. For the IPF subject, while the ventilation and barrier images are similarly homogenous, the RBC image-intensity is generally lower, and the images show widespread signal voids, or gas-transfer defects. Interestingly, these gas-transfer defects in the RBC channel were present even in regions with seemingly normal gas-phase and barrier signal. Although gas-transfer defects were more prominent in the IPF subject, the healthy volunteer also exhibits some defects in the RBC map, most of which are located in well ventilated regions. The gas-transfer defect percentage was 11.51 ± 1.3% in the healthy volunteers, with defects predominantly located in the anterior, non-dependent portion of the lung. By contrast for the IPF subjects, the gas-transfer defect percentage was ~2-fold higher (22.4 ± 5.4%), and these defects were distributed in the peripheral and basal lung.
The 129Xe-RBC images and their associated defect maps (yellow) were compared to the representative CT images available in the IPF subjects (Figure 4). Qualitatively, regions of fibrosis and opacification visible on CT, while generally remaining ventilated, exhibit prominent 129Xe-RBC gas-transfer defects. In these IPF subjects, gas-transfer defects in both the posterior and anterior lung corresponded well to fibrosis seen on CT. Regions exhibiting fibrotic changes on CT contained 129Xe-RBC defects 72% of the time. Because 129Xe-RBC transfer is strongest in the posterior lung, these defects are most striking. Gas-transfer defects in the anterior lung, although also corresponding well to CT, could also be caused by lower SNR. Interestingly, 28% of the 129Xe-RBC defects were in regions where the CT scan appeared normal.
Additional insights can be gained by examining the various ratio maps—barrier:gas, RBC:gas, and RBC:barrier shown in Figure 5. In the healthy volunteer, both the barrier:gas and RBC:gas maps appear relatively homogeneous, whereas the RBC:barrier map seems to exhibit increased ratios in the mid-lung gravitational plane. In the IPF subject, only the barrier:gas map remains moderately homogeneous. However, the RBC:gas map exhibits reduced overall intensity compared to the healthy volunteer, as well as numerous gas-transfer defects. The RBC:barrier map is also quite striking in the IPF subject, and while showing lower values overall, this map shows a few focal regions of high gas-transfer, with significantly lowered RBC:barrier at the peripheral and basal lung regions.
Discussion
Although demonstrated here in only a small patient population, this work provides preliminary evidence that the 1-point Dixon technique can produce isotropic 3D images of 129Xe distribution in the airspaces and its transfer to the barrier and RBC compartments in a single-breath. This approach, while currently requiring an additional calibration scan, offers a simple alternative to the IDEAL algorithm to create separate images of 129Xe uptake in the RBC and barrier compartments, through its utilization of only a single echo-time. A direct comparison of these two approaches in the same patient population should illuminate the relative benefits of each for enabling routine clinical gas-exchange MRI.
The 1-point Dixon approach requires accurately calibrating the TE required for a 90° RBC-barrier phase separation. It was interesting to note the variability of this TE90 relative to the calculated value and across groups. Such variability has been observed in prior studies of Dixon imaging including transgenic mice expressing human hemoglobin (26) and bleomycin-instilled rats (19). For healthy volunteers, TE90 was almost 300µs shorter (429µs) than the theoretical predictions. Moreover, for IPF subjects, the calibrated TE90 was 194μs shorter than for healthy volunteers, even the RBC-barrier frequency difference in this population was 40Hz lower. For all subjects, the RBC-barrier phase evolution varied linearly with TE, and the fit exhibited a positive intercept (33.3°, healthy volunteers; 53.9° in IPF subjects), which suggests that significant phase evolution occurred during the RF pulse. These observations, along with lower TE90 in the IPF subjects may be in part explained by the different nature of susceptibility gradients and the variability in compartmental exchange in lungs affected by interstitial thickening and fibrosis. Ultimately, as discussed by Cleveland et al., these observations must be investigated by simulating the Bloch equations to better understand phase accumulation occurring during the RF pulse (19).
The 1-point Dixon acquisition has typically required additional reference scans to determine the receiver phase offset (phase error) and correct for the effects of field inhomogeneity (17). While, in principle, the receiver phase-offset could be determined using the phases of the calibration spectra, we have found that significant receiver phase-shifts can occur over time. On our scanner, we have seen receiver phase drift by as much as 100° in 10 minutes. Hence, we developed an approach that was immune to such drift by constraining the RBC:barrier ratio derived from imaging to match the spectroscopic ratio. This is somewhat similar to the ‘virtual shimming’ method introduced for the single-point Dixon based fat-water separation (27). In addition to determining the receiver phase offset, most multi-point Dixon methods (IDEAL, hierarchical IDEAL) correct for regional phase inhomogeneity by iteratively solving for a phase map (20,28). Here, 129Xe Dixon MRI is advantageous because the single-resonance gas-phase image acquired in the same breath provides a map of regional inhomogeneity. Moreover, an additional advantage of the relatively low 129Xe gyromagnetic ratio combined with imaging at 1.5T and relatively short TE is that phase did not change by more than 90° across the lung and hence did not require phase unwrapping (17). Thus, other than requiring a calibration scan, the strategy proposed here uses the acquired data to correct the receiver phase-offset and the regional field-inhomogeneity and provides images of all three resonances of 129Xe in a single breath. With further work, the calibration scan could be eliminated by simply tracking the phase evolution from a single oversampled calibration FID that is appended to the image acquisition.
As shown in Figure 4, separation of 129Xe transfer to the RBCs depicted defects that qualitatively corresponded to regions of fibrosis seen on CT. Perhaps more interesting are gas-transfer defects that were detected in regions where the CT appeared normal. These defects could indicate subtle regional inflammation that causes diffusion-limitation. It is conceivable that such regions represent earlier-stage disease that could potentially respond to therapy. In regions of impaired RBC transfer, the barrier images frequently exhibited increased signal. This, observation is consistent with inflammation and increased tissue deposition expected in IPF. However, some RBC defects also exhibited lower barrier signal, which can occur if xenon solubility in local tissue is reduced. Xenon solubility may be enhanced in the presence of inflammation, but reduced in the presence of collagen deposition or scarring. It is this solubility dependence that makes the barrier image more challenging to interpret, but could also provide opportunities to identify regionally active disease.
Although we hypothesize that defects in the 129Xe-RBC image of IPF patients are primarily caused by thickening of the blood-gas barrier, we cannot distinguish this effect from regionally reduced perfusion and capillary blood volume. Such discrimination could be done by also acquiring a high-resolution Gd-enhanced perfusion image (29). Moreover, because 129Xe transfer into barrier and RBCs follows Fick’s first law, it also depends on the alveolar surface-volume ratio. Thus, loss of alveolar surface area would cause both RBC and barrier intensity to diminish. Hence, RBC:barrier maps provide a potentially useful means to distinguish the two conditions.
Although the 1-point Dixon acquisition offers a simple method to independently image the dissolved 129Xe resonances, it does have challenges. First, this method requires two well-separated resonances. However, both dissolved-phase resonances are broad (~140 Hz), and in healthy volunteers, overlap by 30 – 40%, which cannot be perfectly separated. An alternative strategy may be to employ chemical shift imaging. Although it sacrifices speed and resolution, it generates complete spectra for each voxel and could thus serve as a gold standard (11). Second, the Dixon condition is truly satisfied only at the center of k-space (k0), beyond which, the 129Xe-barrier resonance will continue to lag further in phase. This continued phase accumulation may be corrected using the modified IDEAL algorithm (28).
Conclusions
The 1-point Dixon strategy was successfully used to create isotropic 3D images of 129Xe in the airspaces, barrier, and the RBCs within a single breath-hold. The method we propose is relatively simple to implement and depicts focal gas-transfer defects in IPF patients. While the current hypothesis assumes that the primary reason for reduced 129Xe-RBC signal is diffusion-limitation, future experiments will include a Gd-perfusion scan to quantify potential changes in regional capillary blood volume. Additionally, understanding the root cause of the phase evolution may negate the need to calibrate the TE90, leading to a single scan exam. Additionally, because the Dixon condition is satisfied only at the center of k-space, future studies will employ an iterative means to estimate the barrier and RBC images to correct for the continued phase accumulation during data acquisition (28). Given the good correlation between the 129Xe-RBC and CT images, these preliminary results show that the 129Xe-RBC images offer an ionizing-radiation-free, non-invasive means to visualize diffusive gas-exchange in the lung. With both the IDEAL technique and the present method established on a sound technical footing, the way is open for larger-scale clinical studies of 129Xe gas-exchange MRI in interstitial lung disease.
Acknowledgements
The authors would like to thank Mr. John Davies for subject monitoring, Dr. Zackary I. Cleveland for helpful discussions, and Sally Zimney for carefully proofreading this manuscript. This work was funded by NIH/NHLBI R01 HL105643 and partly by the Center for In Vivo Microscopy NIBIB P41 EB015897, Duke CTSA Grant UL1 RR024128 from NCRR/NIH, and AI 081672.
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