The adaptation and investigation of cone-beam CT reconstruction algorithms for horizontal rotation fixed-gantry scans of rabbits.


Journal

Physics in medicine and biology
ISSN: 1361-6560
Titre abrégé: Phys Med Biol
Pays: England
ID NLM: 0401220

Informations de publication

Date de publication:
14 05 2021
Historique:
received: 11 02 2021
accepted: 20 04 2021
pubmed: 21 4 2021
medline: 26 11 2021
entrez: 20 4 2021
Statut: epublish

Résumé

Fixed-gantry radiation therapy has been proposed as a low-cost alternative to the conventional rotating-gantry radiation therapy, that may help meet the rising global treatment demand. Fixed-gantry systems require gravitational motion compensated reconstruction algorithms to produce cone-beam CT (CBCT) images of sufficient quality for image guidance. The aim of this work was to adapt and investigate five CBCT reconstruction algorithms for fixed-gantry CBCT images. The five algorithms investigated were Feldkamp-Davis-Kress (FDK), prior image constrained compressed sensing (PICCS), gravitational motion compensated FDK (GMCFDK), motion compensated PICCS (MCPICCS) (a novel CBCT reconstruction algorithm) and simultaneous motion estimation and iterative reconstruction (SMEIR). Fixed-gantry and rotating-gantry CBCT scans were acquired of 3 rabbits, with the rotating-gantry scans used as a reference. Projections were sorted into rotation bins, based on the angle of rotation of the rabbit during image acquisition. The algorithms were compared using the structural similarity index measure root mean square error, and reconstruction time. Evaluation of the reconstructed volumes showed that, when compared with the reference rotating-gantry volume, the conventional FDK algorithm did not accurately reconstruct fixed-gantry CBCT scans. Whilst the PICCS reconstruction algorithm reduced some motion artefacts, the motion estimation reconstruction methods (GMCFDK, MCPICCS and SMEIR) were able to greatly reduce the effect of motion artefacts on the reconstructed volumes. This finding was verified quantitatively, with GMCFDK, MCPICCS and SMEIR reconstructions having RMSE 17%-19% lower and SSIM 1% higher than a conventional FDK. However, all motion compensated fixed-gantry CBCT reconstructions had a 56%-61% higher RMSE and 1.5% lower SSIM than FDK reconstructions of conventional rotating-gantry CBCT scans. The results show that motion compensation is required to reduce motion artefacts for fixed-gantry CBCT reconstructions. This paper further demonstrates the feasibility of fixed-gantry CBCT scans, and the ability of CBCT reconstruction algorithms to compensate for motion due to horizontal rotation.

Identifiants

pubmed: 33878747
doi: 10.1088/1361-6560/abf9dd
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2021 Institute of Physics and Engineering in Medicine.

Auteurs

Mark Gardner (M)

ACRF Image X Institute, The University of Sydney, Eveleigh, NSW 2015, Australia.

Owen Dillon (O)

ACRF Image X Institute, The University of Sydney, Eveleigh, NSW 2015, Australia.

Chun-Chien Shieh (CC)

ACRF Image X Institute, The University of Sydney, Eveleigh, NSW 2015, Australia.
Sydney Neuroimaging Analysis Centre, Camperdown, NSW 2050, Australia.

Ricky O'Brien (R)

ACRF Image X Institute, The University of Sydney, Eveleigh, NSW 2015, Australia.

Emily Debrot (E)

ACRF Image X Institute, The University of Sydney, Eveleigh, NSW 2015, Australia.

Jeffrey Barber (J)

Western Sydney Local Health District, Blacktown, NSW 2148, Australia.

Verity Ahern (V)

Western Sydney Local Health District, Blacktown, NSW 2148, Australia.

Peter Bennett (P)

Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia.

Soo-Min Heng (SM)

Nelune Comprehensive Cancer Centre, Randwick, NSW 2031, Australia.

Stéphanie Corde (S)

Nelune Comprehensive Cancer Centre, Randwick, NSW 2031, Australia.

Michael Jackson (M)

Nelune Comprehensive Cancer Centre, Randwick, NSW 2031, Australia.

Paul Keall (P)

ACRF Image X Institute, The University of Sydney, Eveleigh, NSW 2015, Australia.

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