Offset geometry for extended field-of-view in multi-contrast and multi-scale X-ray microtomography of lung cancer lobectomy specimens

TL;DR

This paper introduces a method to double the field-of-view in X-ray microtomography of lung tissue samples without losing spatial resolution, enabling multi-scale, multi-contrast imaging of biological specimens.

Contribution

The authors present an efficient technique to extend the field-of-view in cone-beam X-ray microtomography systems while maintaining high spatial resolution and multi-contrast capabilities.

Findings

Achieved a 4.3 cm horizontal field-of-view with 10.5 μm voxels in lung tissue

Demonstrated multi-scale imaging from micrometers to millimeters

Method is compatible with phase-contrast imaging techniques

Abstract

X-ray microtomography is a powerful non-destructive technique allowing 3D virtual histology of resected human tissue. The achievable imaging field-of-view, is however limited by the fixed number of detector elements, enforcing the requirement to sacrifice spatial resolution in order to image larger samples. In applications such as soft-tissue imaging, phase-contrast methods are often employed to enhance image contrast. Some of these methods, especially those suited to laboratory sources, rely on optical elements, the dimensions of which can impose a further limitation on the field-of-view. We describe an efficient method to double the maximum field-of-view of a cone-beam X-ray microtomography system, without sacrificing on spatial resolution, and including multi-contrast capabilities. We demonstrate an experimental realisation of the method, achieving exemplary reconstructions of a resected human lung sample, with a cubic voxel of 10.5 $\mu$m linear dimensions, across a horizontal field-of-view of 4.3 cm. The same concepts are applied to free-space propagation imaging of a 2.7 mm segment of the same sample, achieving a cubic voxel of 450 nm linear dimensions. We show that the methodology can be applied at a range of different length-scales and geometries, and that it is directly compatible with complementary implementations of X-ray phase-contrast imaging.