19–24 May 2024
Music City Center
US/Central timezone

Investigating X-ray detector systems using Monte Carlo techniques

THPR47
23 May 2024, 16:00
2h
Rock 'n Roll (MCC Exhibit Hall A)

Rock 'n Roll

MCC Exhibit Hall A

Poster Presentation MC8.A28 Medical Applications Thursday Poster Session

Speaker

Lauryn Eley (Cockcroft Institute)

Description

Digital Tomosynthesis (DT) is a 3D mode of x-ray imaging. Adaptix Ltd have developed a novel mobile DT device enabled by implementing an array of R-ray emission points and a flat-panel detector. This device gives access to human and animal 3D imaging, as well as to non-destructive material evaluation. DT is not as clinically popular as Computed Tomography (CT) or radiography, and flat-panel source DT even less so, thus creating scope to investigate the optimal flat-panel detector technology for this modality. Geant4, a Monte Carlo Particle Transport code, has been used to simulate the Adaptix Ltd system to do this. Parameters such as the material composition of the detectors, the exact detection method and the inclusion vs exclusion of a scintillation layer are tested in this simulation environment. This work aims to find the optimal flat-panel detector design by comparing different scintillator compositions and structures for this DT method. Therefore, the ideal detector that preserves the advantages of this low-cost, low-dose scanning approach is determined.

Funding Agency

This work was jointly supported by Adaptix Ltd and the Science and Technology Facilities Council (STFC) under grant agreement ST/W006766/1.

Region represented Europe
Paper preparation format LaTeX

Primary author

Lauryn Eley (Cockcroft Institute)

Co-authors

Alexander Hill (The University of Liverpool) Aquila Mavalankar (Adaptix Ltd) Prof. Carsten Welsch (The University of Liverpool) Daliya Aflyatunova (The University of Liverpool) James Cameron (Adaptix Ltd) Matteo Contino (Adaptix Ltd) Stephen Wells (Adaptix Ltd) Paul Betteridge (Adaptix Ltd)

Presentation materials

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