Abstract

This work demonstrates the feasibility of simultaneous discrimination of multiple contrast agents based on their element-specific and energy-dependent X-ray attenuation properties using a pre-clinical photon-counting spectral CT. We used a photon-counting based pre-clinical spectral CT scanner with four energy thresholds to measure the X-ray attenuation properties of various concentrations of iodine (9, 18 and 36 mg/ml), gadolinium (2, 4 and 8 mg/ml) and gold (2, 4 and 8 mg/ml) based contrast agents, calcium chloride (140 and 280 mg/ml) and water. We evaluated the spectral imaging performances of different energy threshold schemes between 25 to 82 keV at 118 kVp, based on K-factor and signal-to-noise ratio and ranked them. K-factor was defined as the X-ray attenuation in the K-edge containing energy range divided by the X-ray attenuation in the preceding energy range, expressed as a percentage. We evaluated the effectiveness of the optimised energy selection to discriminate all three contrast agents in a phantom of 33 mm diameter. A photon-counting spectral CT using four energy thresholds of 27, 33, 49 and 81 keV at 118 kVp simultaneously discriminated three contrast agents based on iodine, gadolinium and gold at various concentrations using their K-edge and energy-dependent X-ray attenuation features in a single scan. A ranking method to evaluate spectral imaging performance enabled energy thresholds to be optimised to discriminate iodine, gadolinium and gold contrast agents in a single spectral CT scan. Simultaneous discrimination of multiple contrast agents in a single scan is likely to open up new possibilities of improving the accuracy of disease diagnosis by simultaneously imaging multiple bio-markers each labelled with a nano-contrast agent.

Highlights

  • Methods2.1 Medipix based spectral Computed Tomography (CT) imaging system MARS scanner

  • We demonstrate the feasibility of simultaneous discrimination of various concentrations of iodine (I), gadolinium (Gd) and gold (Au) based contrast agents, using their elementspecific and energy-dependent X-ray attenuation properties

  • K-factor and Signal-to-noise ratio (SNR) were used as metrics to compare the spectral imaging performance at different scanning energy thresholds

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Summary

Methods

2.1 Medipix based spectral CT imaging system MARS scanner. A MARS scanner (Mars BioImaging Ltd, Christchurch, New Zealand) [31,32,33] is a pre-clinical spectral imaging system, comprised of a MARS camera [34,35,36,37], a micro-focus X-ray source (Source-Ray Inc, Ronkonkoma, NY, U.S.A.) and various mechanical components. We used a MARS camera fitted with a detector module incorporating a Medipix3RX ASIC [38] bump-bonded to a standard high resistivity 2 mm thick CdTe sensor. The sensitive area of each chip was 1.408 × 1.408 cm, which is subdivided into a 128 × 128 array of pixels with a pitch of 110 μm. The counter depth of 12-bit provides a dynamic range of 0–4095 counts per pixel

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