Multi‐contrast X‐ray microtomography of human lung specimens with an extended field‐of‐view
Year: 2026
Type: article
Abstract: BACKGROUND: Phase-based X-ray microtomography is a powerful technique capable of quantitative volumetric imaging of lung tissue in health and disease. The maximum sample size is however limited by the fixed sizes of detectors and optical elements. Thus while high-resolution imaging can offer valuable microscale insights, it can be difficult to interpret without the context of the surrounding tissue. We propose a multi-contrast and multi-scale approach, combined with an offset geometry to extend the field-of-view (FOV). PURPOSE: FOV limitations make it a challenge to simultaneously achieve high spatial-resolution and image large samples. Our method doubles the possible FOV achievable for a given spatial-resolution, in a way compatible with multiple scales and imaging systems. METHODS: Multi-contrast whole sample volumetric images are acquired using a beam-tracking X-ray phase-contrast imaging(XPCI) system. Following this, a section of the same sample is imaged at higher resolution using an X-ray microscope with propagation-based imaging. The FOV of both methods is doubled using an offset center-of-rotation geometry, followed by weighted analytical reconstruction. RESULTS: voxel size across a 4.3 cm horizontal FOV, and at 450 nm voxel size for a 2.7 mm section of the same sample. This enables the visualization of a range of features, from the macro to the cellular scale. CONCLUSIONS: We demonstrate a versatile method to image large samples without sacrificing spatial-resolution. This method is directly compatible with complementary implementations of XPCI, and is easily adapted to a range of other systems.
Source: Medical Physics
DOI: 10.1002/mp.70335
Language: English
Subfield: Radiation
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,360
Awards: Capital Equipment in Support of the National Research Facility for Lab X-ray CT, G2412283566, G3194548215, G4360759576, National Research Facility for Lab X-ray CT, EPSRC Centre for Doctoral Training in Intelligent, Integrated Imaging In Healthcare (i4health), G7370808498, A multi-contrast X-ray nanoscope for multidisciplinary research
OpenAlex ID: W7130559122
