According to a recent LinkedIn post from Rad AI, the company’s work with Monte Carlo simulations suggests that tellurium‑haze method (THM) grown CdZnTe (CZT) crystals can materially outperform Bridgman‑grown CZT in photon‑counting detectors due to reduced hole trapping. The post emphasizes that longer hole lifetimes in THM‑grown material drive higher charge collection efficiency, especially under clinical computed tomography flux conditions.
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The LinkedIn post highlights simulation data showing charge collection efficiency rising from 78% to 99.8% as hole lifetime increases from 10 nanoseconds to 2,000 nanoseconds, with THM‑grown CZT modeled in the high‑lifetime regime. Bridgman‑grown CZT is described as constrained by crystal defects and tellurium inclusions, which limit hole lifetime and degrade spectral performance at high photon rates.
The post suggests that the 4% efficiency gap between typical Bridgman material and high‑quality THM CZT could translate into measurable differences in K‑edge image quality, energy resolution, and required X‑ray dose for photon‑counting CT systems. Higher bias voltages can partially compensate for poorer material, but the simulations indicate that THM‑grown CZT maintains a performance advantage across voltage levels.
As shared in the post, Rad AI positions these simulations as a way to optimize detector design before fabrication, arguing that material growth choices directly determine detector performance. For investors, the focus on THM‑grown CZT and physics‑based simulation may signal a strategy aimed at serving the emerging photon‑counting CT market with higher‑end, higher‑cost detector solutions where image quality and dose efficiency can justify premium pricing.
If Rad AI can convert this simulation‑driven approach into proprietary designs or partnerships with CT system manufacturers and crystal suppliers, it could strengthen the company’s competitive position in spectral CT and medical imaging hardware optimization. However, the post does not provide information on commercial contracts, pricing, or timelines, so the financial impact remains contingent on execution, industry adoption of photon‑counting CT, and the company’s ability to scale THM‑based solutions economically.

