Determining the structure of lung tissue is difficult in ex-vivo samples. Optical coherence tomography (OCT)
can image alveoli but ignores optical effects that distort the images. For example, light refracts and changes
speed at the alveolar air-tissue surface. We employ ray-tracing to model OCT imaging with directional and
speed changes included, using spherical shapes in 2D. Results show apparent thickening of inter-aveolar walls
and distortion of shape and depth. Our approach suggests a correction algorithm by combining the model with
image analysis. Distortion correction will allow inference of tissue mechanical properties and deeper imaging.
Lung imaging, visualization and measurement of alveolar volume has great importance in determining lung
health. However, the heterogeneity of lung tissue complicates this task. In this paper multi angle Optical
Coherence Tomography (OCT) is used to overcome this problem. One of the limitations of utilizing OCT in
lung is the speckle noise and artifacts that originate from the refraction at the tissue-air interface inside the
lung. Multi angle view of lung using OCT is incoherent summation of multiple angle-diverse images. Utilizing
image registration of multi angle OCT scans of the lung helps reduce the speckle noise and refraction artifacts.
This technique helps extract more information from the images which improves visualization and the ability to
measure the geometry of alveoli. The other diculty of utilizing OCT is interpreting the images due to the low
numerical aperture (NA) on the OCT. The multi angle view of the lung increases NA, which increase the imaging
resolution through synthetic aperture imaging. In this paper in
ated excised lung tissue and lung phantom are presented.
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