Noise Considerations for Tomographic Reconstruction of Single-Projection Digital Holographic Interferometry-Based Radiation Dosimetry

• Published in: Photonics Vol. 10; no. 2; p. 188
• Main Authors: Telford, Tom, Roberts, Jackson, Moggré, Alicia, Meyer, Juergen, Marsh, Steven
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2023
• Subjects: Acceptable noise levels; Accuracy; Atmospheric turbulence; Calorimetry; Digital Holographic Interferometry; Dosimeters; Dosimetry; FRED; Holographic interferometry; Image reconstruction; Interferometry; inverse Abel transform; Investigations; Measurement techniques; Monte Carlo simulation; Noise; Noise sensitivity; Optical Calorimetry; Radiation; Radiation dosage; Radiation dosimetry; Radiation therapy; Radiotherapy; Technology application; Tomography
• ISSN: 2304-6732; 2304-6732
• DOI: 10.3390/photonics10020188

Optical Calorimetry (OC) is a 2D Digital Holographic Interferometry (DHI)-based measurement technique with potential applications for the 3D dosimetry of ultra-high dose rate (FLASH) radiation therapy beams through tomographic reconstruction. This application requires accurate measurements of DHI signals in environments with low signal-to-noise ratios (SNRs) in order to accurately measure absorbed energy to a medium per unit mass (Dose). However, tomographic reconstruction accuracy is sensitive to noise in the measurements. In this study, a virtual model of an OC dosimeter was used to characterize and model major sources of noise within a DHI setup, allowing for the modelled noise sources to be selectively reduced. The tomographic reconstruction of the 3D dose distribution was achieved using the inverse Abel transform. Reducing the noise contribution from atmospheric turbulence and mechanical vibration by one half improved the central axis reconstruction error from 6.5% to 1.3% and 1.1%, respectively, and the mean dose difference from 2.9% to 0.4% and 0.3%, respectively. This indicates the potential of the tomographic DHI-based 3D OC dosimeter to reconstruct accurate 3D dose distributions from a single projection if the specified sources of noise can be reduced to acceptable levels. The used methodology is applicable to any application of tomographic DHI where reconstruction quality is highly sensitive to noise.