Single breath washout imaging – regional phase III slope mapping with rapid hyperpolarized gas MRI
Felix C Horn 1 and Jim M Wild1

1University of Sheffield, Sheffield, United Kingdom

Synopsis

Single breath washout (SBW) is a whole lung pulmonary function test that has been shown to be sensitive to early changes in lung disease. Of particular clinical interest has been the Phase III slope (SIII) as the concentration decay between 25-75% of the exhaled volume.

In this work rapid lung imaging of exhaled hyperpolarized gas is used to acquire 2D images of SBW of subjects expiring to residual lung volume. The ability to calculate regional SIII from those time resolved images is demonstrated in healthy volunteers.

Purpose

Single breath washout (SBW) is a whole lung pulmonary function test that has been shown to be sensitive to early changes in lung disease1. Of particular clinical interest has been the Phase III slope (SIII) as the concentration decay between 25-75% of the exhaled volume. Commonly nitrogen is used as tracer gas, but SBW can also be performed with Helium. In this work rapid lung imaging of exhaled hyperpolarized gas is used to acquire 2D images of SBW of subjects expiring to residual lung volume. We demonstrate the ability to measure regional SIII slopes from time resolved images.

Methods

Single breath washout imaging (SBW-I) was performed on a 1.5T scanner with a quadrature flex coil tuned to Helium-3 frequency. A gas mixture of Helium-3 (~30% polarisation,100ml) topped up to one liter with N2 was inhaled. Sequence parameters of the time resolved 2D spoiled gradient echo sequence were: 64x64 Matrix, a single slice with thickness = 300mm, FOV= 38cm, TR/TE = 2.7/0.8ms, receiver bandwidth=62.5kHz, phase FOV = 0.82, flip angle = 1°. A total of 80 images were acquired with no delay between acquisitions, resulting in a total breath-hold of 15s. Subjects were instructed to exhale to functional residual capacity before inhaling the 1l of tracer gas mix as per SBW lung function test2-4. Upon inhalation data acquisition was started and subjects aimed for a constant flow of 400ml/s breathing through a restricted flow meter5 (RS 100 Pneumotachograph, Hans Rudolph Shawnee, KS, USA). Images were corrected for RF depolarisation and registered for lung motion6. Flow recordings were interpolated and aligned with the timings of the MRI acquisition (Figure1). MRI images were converted into maps of regional gas fraction7. This allowed quantification of SIII slope in %/liters as commonly expressed for the SBW test in the pulmonary function lab. SIII was calculated as the linear slope of fractional signal decay per liter expired volume between 25%-75% of the exhaled volume5. Single breath washout imaging (SBW-I) was performed in two healthy subjects. One subject was imaged twice to show repeatability of the imaging method using a coronal and a sagittal whole lung projection.

Results

A representative time series of exhaled gas SBW-I is shown in Figure 2. Single breath washout integrated over the whole lung alongside signal from the trachea is shown in Figure 3. In addition Figure 4 shows maps of SIII slopes from both subjects SBW-I. Data were shown to be highly reproducible (Subject 2: SIII mean(standard deviation) (1) -0.142(0.084) (2) -0.148(0.084)). The whole lung average values from both volunteers (Subject 1 SIII= -0.15; Subject 2 SIII= -0.22) are in the range of those in the literature for the SBW lung function test for sitting healthy subjects using a similar breathing manoeuvre albeit with slightly lower Helium concentration: 0.2(0.06)3. In the sagittal SIII map from subject 2 a gravitational effect with an increase of slope from anterior to posterior can be observed which reflects the postural gradient in ventilation observed in static ventilation imaging and multi breath washout imaging8.

Discussion

The mean average SIII values from both volunteers matches the literature and a good repeatability was demonstrated when imaging the same subject twice. The well-known gravitational effect9 was also found in the SIII indicating a faster concentration decay in the posterior part of the lung compared to the anterior one. Expiration was shorter than 8s in both cases, with a T1 in the range of 25-30s signal depolarisation from T1 decay was therefore neglected in this preliminary work. Rapid signal decay in the trachea shows quick washout of the dead space gas similar to SBW in the PFT (Figure 3). However the dead space signal (Figure 1,DS) is difficult to fully assess using SBW-imaging, as only parts of the trachea were visible at the edge of the FOV. This could be addressed with a larger FOV and a coil that covers the upper airways. In the rest of the lung signal decay is dominated by gas washout from the respiratory zone of the lung (small airways and alveolar gas space; airway generation >16) rather than the conducting zone. In future work acceleration techniques like parallel imaging and compressed sensing could be used to allow imaging with a higher temporal resolution or to increase the spatial resolution of images to 3D.

Conclusion

Regional Phase III slope (SIII) mapping from single breath washout imaging of hyperpolarized gas is demonstrated. Future work could investigate how regional distribution in Phase III slope changes in disease and compare it to ventilation imaging and fractional ventilation from multiple breath washout.

Acknowledgements

The authors would like to acknowledge Laurie Smith for useful discussions and help with experiments.

References

1. Robinson PD, Goldman MD, Gustafsson PM. Inert gas washout: theoretical background and clinical utility in respiratory disease. Respiration; international review of thoracic diseases. 2009;78(3):339-355.

2. Van Muylem A, De Vuyst P, Yernault JC, Paiva M. Inert gas single-breath washout and structural alteration of respiratory bronchioles. Am Rev Respir Dis. 1992;146(5 Pt 1):1167-1172.

3. Paiva M, van Muylem A, Ravez P, Yernault JC. Inspired volume dependence of the slope of the alveolar plateau. Respir Physiol. 1984;56(3):309-325.

4. Paiva M, van Muylem A, Ravez P, Yernault JC. Preinspiratory lung volume dependence of the slope of the alveolar plateau. Respir Physiol. 1986;63(3):327-338.

5. Robinson PD, Latzin P, Verbanck S, et al. Consensus statement for inert gas washout measurement using multiple- and single- breath tests. Eur Respir J. 2013;41(3):507-522.

6. Barber DC. Registration of low resolution medical images. Phys Med Biol. 1992;37(7):1485-1498.

7. Tzeng YS, Lutchen K, Albert M. The difference in ventilation heterogeneity between asthmatic and healthy subjects quantified using hyperpolarized 3He MRI. J Appl Physiol. 2009;106(3):813-822.

8. Horn FC, Deppe MH, Marshall H, Parra-Robles J, Wild JM. Quantification of regional fractional ventilation in human subjects by measurement of hyperpolarized 3He washout with 2D and 3D MRI. Journal of applied physiology. 2014;116(2):129-139.

9. Hopkins SR, Henderson AC, Levin DL, et al. Vertical gradients in regional lung density and perfusion in the supine human lung: the Slinky effect. Journal of applied physiology. 2007;103(1):240-248.

Figures

Figure1: Schematic of a single breath washout using Helium as tracer gas. DS marks the dead space (Fowler anatomic dead space) leading into the alveolar phase with the Phase III (SIII) slope.

Figure 2: 2D sagittal images covering the whole lung. Recorded during expiration of subject 2.

Figure 3: Normalised signal from ROI in the lung (blue) and trachea (red) plotted against the expired volume . Regions within the lung are dominated by signal from the respiratory zone, no deadspace can be detected.

Figure 4: Regional maps of Phase III slope (SIII) from both subjects.



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