Journal of Instrumentation · 2013 · 27 citations · 13 references
The study presents acquisition of spectral CT images with the Medipix3.1 in spectroscopic mode, using 2×2 pixel clusters to raise energy thresholds and counters from 2 to 8. The Medipix3.1 chips were arranged in a 2×2 quad layout with four ASICs bump‑bonded to an np‑junction silicon diode, enabling spectroscopic CT acquisition that was tested on a custom phantom with multiple contrast agents. Preliminary tests revealed that the Medipix3.1 offers superior temperature, DAC, and equalisation stability over the Medipix3.0 while preserving imaging quality, and demonstrated material discrimination in a phantom and gold nanoparticle separation in a mouse model using an in‑house decomposition algorithm.
This paper describes the acquisition of spectral CT images using the Medipix3.1 in spectroscopic mode, in which the chip combines 2 × 2 pixel clusters to increase the number of energy thresholds and counters from 2 to 8. During preliminary measurements, it was observed that the temperature, DAC and equalisation stability of the Medipix3.1 outperformed the Medipix3.0, while maintaining similar imaging quality. In this paper, the Medipix3.1 chips were assembled in a quad (2 × 2) layout, with the four ASICs bump-bonded to a silicon semiconductor doped as an np-junction diode. To demonstrate the biological imaging quality that is possible with the Medipix3.1, an image of a mouse injected with gold nano-particle contrast agent was obtained. CT acquisition in spectroscopic mode was enabled and examined by imaging a customised phantom containing multiple contrast agents and biological materials. These acquisitions showed a limitation of imaging performance depending on the counter used. Despite this, identification of multiple materials in the phantom was demonstrated using an in-house material decomposition algorithm. Furthermore, gold nano-particles were separated from biological tissues and bones within the mouse by means of image rendering.
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Atherosclerotic Plaque Composition: Analysis with Multicolor CT and Targeted Gold Nanoparticles
David P. Cormode, Ewald Roessl, Axel Thran et al. · Radiology · 2010 · 469 citations