Low-dose CBCT reconstruction via joint non-local total variation denoising and cubic B-spline interpolation

Abstract This study develops an improved Feldkamp–Davis–Kress (FDK) reconstruction algorithm using non-local total variation (NLTV) denoising and a cubic B-spline interpolation-based backprojector to enhance the image quality of low-dose cone-beam computed tomography (CBCT). The NLTV objective funct...

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Autores principales: Ho Lee, Jiyoung Park, Yeonho Choi, Kyung Ran Park, Byung Jun Min, Ik Jae Lee
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/f1cdc4c498234dda98ceaaf57d41d0eb
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spelling oai:doaj.org-article:f1cdc4c498234dda98ceaaf57d41d0eb2021-12-02T14:11:31ZLow-dose CBCT reconstruction via joint non-local total variation denoising and cubic B-spline interpolation10.1038/s41598-021-83266-12045-2322https://doaj.org/article/f1cdc4c498234dda98ceaaf57d41d0eb2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83266-1https://doaj.org/toc/2045-2322Abstract This study develops an improved Feldkamp–Davis–Kress (FDK) reconstruction algorithm using non-local total variation (NLTV) denoising and a cubic B-spline interpolation-based backprojector to enhance the image quality of low-dose cone-beam computed tomography (CBCT). The NLTV objective function is minimized on all log-transformed projections using steepest gradient descent optimization with an adaptive control of the step size to augment the difference between a real structure and noise. The proposed algorithm was evaluated using a phantom data set acquired from a low-dose protocol with lower milliampere-seconds (mAs).The combination of NLTV minimization and cubic B-spline interpolation rendered the enhanced reconstruction images with significantly reduced noise compared to conventional FDK and local total variation with anisotropic penalty. The artifacts were remarkably suppressed in the reconstructed images. Quantitative analysis of reconstruction images using low-dose projections acquired from low mAs showed a contrast-to-noise ratio with spatial resolution comparable to images reconstructed using projections acquired from high mAs. The proposed approach produced the lowest RMSE and the highest correlation. These results indicate that the proposed algorithm enables application of the conventional FDK algorithm for low mAs image reconstruction in low-dose CBCT imaging, thereby eliminating the need for more computationally demanding algorithms. The substantial reductions in radiation exposure associated with the low mAs projection acquisition may facilitate wider practical applications of daily online CBCT imaging.Ho LeeJiyoung ParkYeonho ChoiKyung Ran ParkByung Jun MinIk Jae LeeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Ho Lee
Jiyoung Park
Yeonho Choi
Kyung Ran Park
Byung Jun Min
Ik Jae Lee
Low-dose CBCT reconstruction via joint non-local total variation denoising and cubic B-spline interpolation
description Abstract This study develops an improved Feldkamp–Davis–Kress (FDK) reconstruction algorithm using non-local total variation (NLTV) denoising and a cubic B-spline interpolation-based backprojector to enhance the image quality of low-dose cone-beam computed tomography (CBCT). The NLTV objective function is minimized on all log-transformed projections using steepest gradient descent optimization with an adaptive control of the step size to augment the difference between a real structure and noise. The proposed algorithm was evaluated using a phantom data set acquired from a low-dose protocol with lower milliampere-seconds (mAs).The combination of NLTV minimization and cubic B-spline interpolation rendered the enhanced reconstruction images with significantly reduced noise compared to conventional FDK and local total variation with anisotropic penalty. The artifacts were remarkably suppressed in the reconstructed images. Quantitative analysis of reconstruction images using low-dose projections acquired from low mAs showed a contrast-to-noise ratio with spatial resolution comparable to images reconstructed using projections acquired from high mAs. The proposed approach produced the lowest RMSE and the highest correlation. These results indicate that the proposed algorithm enables application of the conventional FDK algorithm for low mAs image reconstruction in low-dose CBCT imaging, thereby eliminating the need for more computationally demanding algorithms. The substantial reductions in radiation exposure associated with the low mAs projection acquisition may facilitate wider practical applications of daily online CBCT imaging.
format article
author Ho Lee
Jiyoung Park
Yeonho Choi
Kyung Ran Park
Byung Jun Min
Ik Jae Lee
author_facet Ho Lee
Jiyoung Park
Yeonho Choi
Kyung Ran Park
Byung Jun Min
Ik Jae Lee
author_sort Ho Lee
title Low-dose CBCT reconstruction via joint non-local total variation denoising and cubic B-spline interpolation
title_short Low-dose CBCT reconstruction via joint non-local total variation denoising and cubic B-spline interpolation
title_full Low-dose CBCT reconstruction via joint non-local total variation denoising and cubic B-spline interpolation
title_fullStr Low-dose CBCT reconstruction via joint non-local total variation denoising and cubic B-spline interpolation
title_full_unstemmed Low-dose CBCT reconstruction via joint non-local total variation denoising and cubic B-spline interpolation
title_sort low-dose cbct reconstruction via joint non-local total variation denoising and cubic b-spline interpolation
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/f1cdc4c498234dda98ceaaf57d41d0eb
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AT yeonhochoi lowdosecbctreconstructionviajointnonlocaltotalvariationdenoisingandcubicbsplineinterpolation
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