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

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 si...

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Main Authors: Tom Telford, Jackson Roberts, Alicia Moggré, Juergen Meyer, Steven Marsh
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Photonics
Subjects:
Online Access:https://www.mdpi.com/2304-6732/10/2/188
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author Tom Telford
Jackson Roberts
Alicia Moggré
Juergen Meyer
Steven Marsh
author_facet Tom Telford
Jackson Roberts
Alicia Moggré
Juergen Meyer
Steven Marsh
author_sort Tom Telford
collection DOAJ
description 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.
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spelling doaj.art-9a9610dfc57a41a697174d2eb75d383e2023-11-16T22:45:35ZengMDPI AGPhotonics2304-67322023-02-0110218810.3390/photonics10020188Noise Considerations for Tomographic Reconstruction of Single-Projection Digital Holographic Interferometry-Based Radiation DosimetryTom Telford0Jackson Roberts1Alicia Moggré2Juergen Meyer3Steven Marsh4School of Physical and Chemical Sciences, University of Canterbury, Christchurch 8041, New ZealandSchool of Physical and Chemical Sciences, University of Canterbury, Christchurch 8041, New ZealandMedical Physics and Bioengineering, Christchurch Hospital, 2 Riccarton Avenue, Christchurch 8011, New ZealandSchool of Physical and Chemical Sciences, University of Canterbury, Christchurch 8041, New ZealandSchool of Physical and Chemical Sciences, University of Canterbury, Christchurch 8041, New ZealandOptical 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.https://www.mdpi.com/2304-6732/10/2/188Digital Holographic Interferometrytomographyradiation dosimetryinverse Abel transformFREDOptical Calorimetry
spellingShingle Tom Telford
Jackson Roberts
Alicia Moggré
Juergen Meyer
Steven Marsh
Noise Considerations for Tomographic Reconstruction of Single-Projection Digital Holographic Interferometry-Based Radiation Dosimetry
Photonics
Digital Holographic Interferometry
tomography
radiation dosimetry
inverse Abel transform
FRED
Optical Calorimetry
title Noise Considerations for Tomographic Reconstruction of Single-Projection Digital Holographic Interferometry-Based Radiation Dosimetry
title_full Noise Considerations for Tomographic Reconstruction of Single-Projection Digital Holographic Interferometry-Based Radiation Dosimetry
title_fullStr Noise Considerations for Tomographic Reconstruction of Single-Projection Digital Holographic Interferometry-Based Radiation Dosimetry
title_full_unstemmed Noise Considerations for Tomographic Reconstruction of Single-Projection Digital Holographic Interferometry-Based Radiation Dosimetry
title_short Noise Considerations for Tomographic Reconstruction of Single-Projection Digital Holographic Interferometry-Based Radiation Dosimetry
title_sort noise considerations for tomographic reconstruction of single projection digital holographic interferometry based radiation dosimetry
topic Digital Holographic Interferometry
tomography
radiation dosimetry
inverse Abel transform
FRED
Optical Calorimetry
url https://www.mdpi.com/2304-6732/10/2/188
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