Poster + Paper
1 April 2024 Comparison of energy-integrating detectors and photon-counting detectors for MV-kV dual-energy imaging on a tomographic therapy system
Author Affiliations +
Conference Poster
Abstract
Megavoltage (MV) and kilovoltage (kV) computed tomography (CT) imaging are essential in effective radiation therapy cancer treatment. MV-kV dual energy computed tomography (DECT), which utilizes both x-ray sources available on radiotherapy treatment systems, could be advantageous for imaging. Most CT machinery utilizes energy-integrating detectors (EIDs); however, emerging photon-counting detectors (PCDs) have potential to produce improved images. To assess image quality, we compared the signal-to-noise ratio (SNR) between MV-kV DECT data generated with PCDs and EIDs. A single-line integral toy model was utilized to estimate the basis material SNR for tissue and bone using various object compositions. In a second assessment, CT images were simulated of an anthropomorphic phantom. Simulated basis material images were synthesized into virtual monoenergetic images (VMIs), in which contrast-to-noise ratio (CNR) was computed. For the single-line integral toy model in the simulated 80 keV VMIs, the PCD produced a 2.774 CNR and EID produced a 2.568 CNR. This work compared the SNR of MV-kV PCD and EID, in order to quantify their image clarity.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Maya Ventura, Giavanna Jadick, and Patrick La Riviere "Comparison of energy-integrating detectors and photon-counting detectors for MV-kV dual-energy imaging on a tomographic therapy system", Proc. SPIE 12925, Medical Imaging 2024: Physics of Medical Imaging, 129252W (1 April 2024); https://doi.org/10.1117/12.3006854
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KEYWORDS
Signal to noise ratio

Sensors

X-ray computed tomography

Cancer detection

Bone

Dual energy imaging

Imaging systems

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