Dosimetric evaluation of 4D‐CBCT reconstructed by Simultaneous Motion Estimation and Image Reconstruction (SMEIR) for carbon ion therapy of lung cancer

Shrestha, Deepak; Tsai, Min Yu; Qin, Nan; Zhang, You; Jia, Xun; Wang, Jing

doi:10.1002/mp.13706

Cited by 5 publications

(6 citation statements)

References 42 publications

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“…A range analysis was not conducted since small differences become extensive in lung tissue, due to its low density. The DVH and gamma analysis results are comparable to those reported by Shrestha et al (2019) for a 4DCBCT carbon-ion lung cancer study, which used simulated projections and a motion-compensated reconstruction algorithm. Furthermore, the DVH analysis and gamma PR showed good agreement to previous 4DvCT studies.…”

Section: Discussionsupporting

confidence: 71%

Validation of proton dose calculation on scatter corrected 4D cone beam computed tomography using a porcine lung phantom

et al. 2021

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Proton therapy treatment for lungs remains challenging as images enabling the detection of inter-and intra-fractional motion, which could be used for proton dose adaptation, are not readily available. 4D computed tomography (4DCT) provides high image quality but is rarely available in-room, while in-room 4D cone beam computed tomography (4DCBCT) suffers from image quality limitations stemming mostly from scatter detection. This study investigated the feasibility of using virtual 4D computed tomography (4DvCT) as a prior for a phase-per-phase scatter correction algorithm yielding a 4D scatter corrected cone beam computed tomography image (4DCBCT cor ), which can be used for proton dose calculation. 4DCT and 4DCBCT scans of a porcine lung phantom, which generated reproducible ventilation, were acquired with matching breathing patterns. Diffeomorphic Morphons, a deformable image registration algorithm, was used to register the mid-position 4DCT to the mid-position 4DCBCT and yield a 4DvCT. The 4DCBCT was reconstructed using motion-aware reconstruction based on spatial and temporal regularization (MA-ROOSTER). Successively for each phase, digitally reconstructed radiographs of the 4DvCT, simulated without scatter, were exploited to correct scatter in the corresponding CBCT projections. The 4DCBCT cor was then reconstructed with MA-ROOSTER using the corrected CBCT projections and the same settings and deformation vector fields as those already used for reconstructing the 4DCBCT. The 4DCBCT cor and the 4DvCT were evaluated phase-by-phase, performing proton dose calculations and comparison to those of a ground truth 4DCT by means of dose-volume-histograms (DVH) and gamma pass-rates (PR). For accumulated doses, DVH parameters deviated by at most 1.7% in the 4DvCT and 2.0% in the 4DCBCT cor case. The gamma PR for a (2%, 2 mm) criterion with 10% threshold were at least 93.2% (4DvCT) and 94.2% (4DCBCT cor ), respectively. The 4DCBCT cor technique enabled accurate proton dose calculation, which indicates the potential for applicability to clinical 4DCBCT scans.

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Section: Discussionsupporting

confidence: 71%

Validation of proton dose calculation on scatter corrected 4D cone beam computed tomography using a porcine lung phantom

et al. 2021

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“…For example, using four-dimensional cone beam computed tomography (4D-CBCT) reconstructed by simultaneous motion estimation and image reconstruction (SMEIR) can capture the projections of all phases of lungs on the treatment day. Therefore, better treatment planning and dose calculation can be performed for CIRT, and the effect of periodic lung movement on the curative effect will be reduced [83,86,87]. In addition, the Compton camera is capable of detecting 511 keV annihilation gamma rays produced by carbon ion beams interacting with target tissues and is small enough to be easily installed in a treatment room.…”

Section: Discussionmentioning

confidence: 99%

Research Progress of Heavy Ion Radiotherapy for Non-Small-Cell Lung Cancer

Liang¹,

Zhou²,

Hu³

2022

IJMS

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Non-small-cell lung cancer (NSCLC) has a high incidence and poses a serious threat to human health. However, the treatment outcomes of concurrent chemoradiotherapy for non-small-cell lung cancer are still unsatisfactory, especially for high grade lesions. As a new cancer treatment, heavy ion radiotherapy has shown promising efficacy and safety in the treatment of non-small-cell lung cancer. This article discusses the clinical progress of heavy ion radiotherapy in the treatment of non-small-cell lung cancer mainly from the different cancer stages, the different doses of heavy ion beams, and the patient’s individual factors, and explores the deficiency of heavy ion radiotherapy in the treatment of non-small-cell lung cancer and the directions of future research, in order to provide reference for the wider and better application of heavy ion radiotherapy in the future.

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“…Several clinical studies have shown that 4D CBCT offers a more accurate target location as compared to 3D CBCT for motion-involved sites (Kumar et al 2012, Sweeney et al 2012. Furthermore, 4D CBCT has been used to reconstruct and monitor the actual dose delivered to patients for adaptive radiation therapy (Qin et al 2018, Shrestha et al 2019. For 4D CBCT, if single frame 3D reconstruction methods are used, the radiation dose to image the patient would have to increase dramatically to keep the image quality since each of the 3D image series needs a regular scan.…”

Section: Introductionmentioning

confidence: 99%

General simultaneous motion estimation and image reconstruction (G-SMEIR)

Zhou¹,

Chi²,

Wang³

et al. 2021

Biomed. Phys. Eng. Express

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To achieve better performance for 4D multi-frame reconstruction with the parametric motion model (MF-PMM), a general simultaneous motion estimation and image reconstruction (G-SMEIR) method is proposed. In G-SMEIR, projection domain motion estimation and image domain motion estimation are performed alternatively to achieve better 4D reconstruction. This method can mitigate the local optimum trapping problem in either domain. To improve computational efficiency, the image domain motion estimation is accelerated by adapting fast convergent algorithms and graphics processing unit (GPU) computing. The proposed G-SMEIR method is tested using a cone-beam computed tomography (CBCT) simulation study of 4D XCAT phantom at different dose levels and compared with 3D total variation-based reconstruction (3D TV), 4D reconstruction with image domain motion estimation (IM4D), and SMEIR. G-SMEIR shows strong denoising capability and achieves similar performance at regular dose and half dose. The root mean squared error (RMSE) of G-SMEIR is the best among the four methods and improved about 12% over SMEIR for all respiratory phase images at full dose. G-SMEIR also achieved the best structural similarity index (SSIM) values among all methods. More importantly, G-SMEIR leads to more than 40% improvement of the mean deviation from the phantom tumor motion over SMEIR. A preliminary patient CBCT image reconstruction also shows better image quality of G-SMEIR than that of the frame-by-frame reconstruction (3D TV) and MF-PMM either using image domain motion estimation (IM4D) or using projection domain motion estimation (SMEIR) alone. G-SMEIR with a flexible combination of image domain and projection domain motion estimation provides an effective tool for 4D tomographic reconstruction.

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Dosimetric evaluation of 4D‐CBCT reconstructed by Simultaneous Motion Estimation and Image Reconstruction (SMEIR) for carbon ion therapy of lung cancer

Cited by 5 publications

References 42 publications

Validation of proton dose calculation on scatter corrected 4D cone beam computed tomography using a porcine lung phantom

Validation of proton dose calculation on scatter corrected 4D cone beam computed tomography using a porcine lung phantom

Research Progress of Heavy Ion Radiotherapy for Non-Small-Cell Lung Cancer

General simultaneous motion estimation and image reconstruction (G-SMEIR)

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