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Prospective Respiratory Gated Carbon Nanotube Micro Computed Tomography

Rationale and Objectives

Challenges remain in the imaging of the lungs of free-breathing mice. Although computed tomographic (CT) imaging is near optimal from a contrast perspective, the rapid respiration rate, limited temporal resolution, and inflexible x-ray pulse control of most micro-CT scanners limit their utility in pulmonary imaging. Carbon nanotubes (CNTs) have permitted the development of field emission cathodes, with rapid switching and precise pulse control. The goal of this study was to explore the utility of a CNT-based micro-CT system for application in quantitative pulmonary imaging.

Materials and Methods

Twelve CB57/B6 mice were imaged during peak inspiration and end-exhalation using the CNT micro-CT system. The respiratory trace was derived from a sensor placed underneath the abdomen of the animal. Animals were allowed to breathe freely during the imaging under isoflurane anesthesia. Images were reconstructed using isotropic voxels of 77-μm resolution (50 kVp, 400 projections, 30-ms x-ray pulse). Lung volumes were measured with region-growing techniques and thresholds derived from the surrounding air and soft tissues. Basic functional parameters, including tidal volume, functional reserve capacity and minute volume, were also calculated.

Results

The average scan time was 13.4 ± 1.8 minutes for each phase of the respiratory cycle. Mean lung volumes at peak inspiration and end-expiration were 0.23 ± 0.026 and 0.11 ± 0.024 mL, respectively. The average minute volume was 11.93 ± 2.64 mL/min.

Conclusions

The results of this study demonstrate the utility of a CNT-based micro-CT system in acquiring prospectively gated images from free-breathing mice for obtaining physiologic data. This technique provides an alternative to breath-hold techniques requiring intubation and offers greater dose efficiency than retrospective gating techniques.

The lung continues to be a challenging organ for evaluation with high-resolution micro–computed tomographic (CT) imaging. The large difference in attenuation between air and soft tissue results in an optimal contrast environment for techniques based on CT imaging, with great potential to be useful in a number of applications, including toxicology and oncology . However, the rapid respiratory rate of the most important biomedical model, the mouse, limits evaluation with standard micro-CT systems. In contrast, organ systems with limited associated motion at rest, such as the extremities, have had significantly more micro-CT imaging applications demonstrated .

The respiratory rate of mice ranges from 120 to 300 breaths/min, resulting in a maximum breath-to-breath period of approximately 500 ms. To “freeze” the motion, a single projection image needs to be captured with an equivalent exposure of approximately ≤100 ms. One approach is to intubate the animal and provide full control of its respiration. This approach allows complete control of the animal’s respiration cycle, allowing imaging at almost any point within the cycle . Practically, however, intubation is associated with airway trauma, and by removing the underlying physiologic drive to breathe, obtaining true physiologic parameters using this technique would be difficult. Obtaining these physiologic parameters, however, is of great research interest . Thus, from a pulmonary physiology perspective, the preference is to perform imaging without intubation.

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Materials and methods

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Figure 1, The custom-built carbon nanotube micro-CT system. The micro-focus x-ray source (a), detector (b) and animal bed (c) are labeled. The system is operated in a step-and-shoot mode, with the source and detector rotating around the animal bed.

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Image Acquisition

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Image Reconstruction and Analysis

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Results

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Figure 2, Sample respiratory trace from a single animal with x-ray pulses superimposed at peak inspiration (a) and end-expiration (b) . An x-ray pulse is not fired at every breath due to the need for synchronization of the x-ray exposure window and the desired phase of the respiratory trace.

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Lungvolume(mL)=pixelvolume(mL)×(mean lung density[HU]/air density[HU]). Lung

volume

(

mL

)

=

pixel

volume

(

mL

)

×

(

mean lung density

[

HU

]

/

air density

[

HU

]

)

.

Tidalvolume(mL)=lung volumeexpiration−lung volumeinspiration. Tidal

volume

(

mL

)

=

lung volume

expiration

lung volume

inspiration

.

Sample images of a single mouse lung at full expiration and peak inspiration are seen in Figure 3 , with axial and coronal reformatted coronal images. Rendered images of the lungs and trachea at peak inspiration and end-expiration are shown in Figure 4 . Differences in rib spacing are seen that demonstrate the changes in the phase of the respiratory cycle.

Table 1

Comparison of Respiration Rate, Tracheal Diameter, and Organ and Parenchymal Volume at Peak Inspiration and End-expiration for Imaged Mice

Variable Peak Inspiration End-expiration Respiration rate (breaths/min) 92 ± 8.0 101 ± 10.5 Tracheal diameter (mm) 0.94 ± 0.067 0.88 ± 0.071 Organ volume (mL) 0.41 ± 0.071 0.26 ± 0.069 Parenchymal volume (mL) 0.23 ± 0.026 0.11 ± 0.024

Data are expressed as mean ± standard deviation.

Table 2

Comparison of Functional Reserve Capacity, Tidal Volume, and Minute Volume Between the Present Study and a Recent Study by Ford et al

Variable Ford et al Present Study Functional reserve capacity (mL) 0.16 ± 0.03 0.11 ± 0.02 Tidal volume (mL) 0.09 ± 0.03 0.12 ± 0.02 Minute volume (mL/min) 12.47 ± 4.2 (estimated) 11.93 ± 2.64

Data are expressed as mean ± standard deviation.

Figure 3, Axial (a, b) images through the lower lung of a single animal and reformatted coronal (c, d) images obtained at the same slice location obtained during peak-inspiration (a, c) and full-expiration (b, d) .

Figure 4, Shaded surface renderings of a mouse lung and trachea in inspiration (a) and expiration (b) . Changes in the shape and dimensions of the lungs can be appreciated.

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Discussion

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Conclusions

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References

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