Feasibility of CBCT-based proton dose calculation using a histogram-matching algorithm in proton beam therapy

Arai, Kazuhiro; Kadoya, Noriyuki; Katō, Takahiro; Endo, Hiromitsu; Komori, Shinya; Abe, Y.; Nakamura, Tatsuya; Wada, Hitoshi; Kikuchi, Yasuhiro; Takai, Yoshihiro; Jingu, Keiichi

doi:10.1016/j.ejmp.2016.12.006

Cited by 50 publications

(53 citation statements)

References 18 publications

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“…However, direct use of CBCT in dose calculation is limited by inferior image quality and thus inaccurate Hounsfield units (HU) . Methods to mitigate or resolve this issue include image correction and image deformation . The former has shown promises, yet dose calculation inaccuracy still varies by up to 5% in phantom and patient studies of various sites .…”

Section: Introductionmentioning

confidence: 99%

“Dose of the day” based on cone beam computed tomography and deformable image registration for lung cancer radiotherapy

Yuan

Rong

Benedict

et al. 2019

J Applied Clin Med Phys

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Purpose: Adaptive radiotherapy (ART) has potential to reduce toxicity and facilitate safe dose escalation. Dose calculations with the planning CT deformed to cone beam CT (CBCT) have shown promise for estimating the "dose of the day". The purpose of this study is to investigate the "dose of the day" calculation accuracy based on CBCT and deformable image registration (DIR) for lung cancer radiotherapy.Methods: A total of 12 lung cancer patients were identified, for which daily CBCT imaging was performed for treatment positioning. A re-planning CT (rCT) was acquired after 20 Gy for all patients. A virtual CT (vCT) was created by deforming initial planning CT (pCT) to the simulated CBCT that was generated from deforming CBCT to rCT acquired on the same day. Treatment beams from the initial plan were copied to the vCT and rCT for dose calculation. Dosimetric agreement between vCT-based and rCT-based accumulated doses was evaluated using the Bland-Altman analysis.Results: Mean differences in dose-volume metrics between vCT and rCT were smaller than 1.5%, and most discrepancies fell within the range of ± 5% for the target volume, lung, esophagus, and heart. For spinal cord D max , a large mean difference of −5.55% was observed, which was largely attributed to very limited CBCT image quality (e.g., truncation artifacts). Conclusion:This study demonstrated a reasonable agreement in dose-volume metrics between dose accumulation based on vCT and rCT, with the exception for cases with poor CBCT image quality. These findings suggest potential utility of vCT for providing a reasonable estimate of the "dose of the day", and thus facilitating the process of ART for lung cancer. K E Y W O R D S adaptive radiotherapy, CBCT, dose of the day, virtual CT

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Section: Introductionmentioning

confidence: 99%

“Dose of the day” based on cone beam computed tomography and deformable image registration for lung cancer radiotherapy

Yuan

Rong

Benedict

et al. 2019

J Applied Clin Med Phys

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“…They concluded that the method using HM significantly improved accuracy compared with conventional CBCT dose calculation. Arai et al also evaluated the dose calculation using HM methods for proton therapy and showed that it could improve the accuracy of the proton dose calculation [8]. In our study, we referenced and modified the previous study by Branchini et al [7], that is, we incorporated the HM method to their method to improve the DIR accuracy because of improving image contrast between organs on the CT image.…”

Section: Dose Accumulationmentioning

confidence: 93%

Evaluation of Deformable Image Registration and Dose Accumulation Using Histogram Matching Algorithm between kVCT and MVCT with Helical Tomotherapy

Saito¹,

Shibata²,

Sano³

et al. 2018

JMP

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Purpose: To evaluate the accuracy of deformable image registration (DIR) between the planning kVCT (pCT) and the daily MVCT combined with the histogram matching (HM) algorithm, and evaluate the deformable dose accumulation using a suggested method for adaptive radiotherapy with Helical Tomotharapy (HT). Methods: For five prostate cancer patients (76 Gy/38 Fr) treated with HT in our institution, seven MVCT series (a total of 35 series) acquired weekly were investigated. First, to minimize the effect of different HU values between pCT and MVCT, this image-processing method adjusts HU values between pCT and MVCT images by using image cumulative histograms of HU values, generating an HM-MVCT. Then, the DIR of the pCT to the HM-MVCT was performed, generating a deformed pCT. Finally, deformable dose accumulation was performed toward the pCT image. Results: The accuracy of DIR was significantly improved by using the HM algorithm, compared with non-HM method for several structures (p < 0.05). The mean dice similarity coefficient of the non-HM method was 0.75 ± 0.05, 0.83 ± 0.06, and 0.90 ± 0.04 for the CTV, rectum, and bladder, respectively, while that of the HM method was 0.81 ± 0.06, 0.81 ± 0.04, and 0.92 ± 0.06, respectively. For the deformable dose accumulation, some difference was observed between the two methods, particularly for the small calculated regions, such as rectum V60 and V70. Conclusion: Adapting the HM method can improve the accuracy of DIR. Furthermore, dose calculation using the deformed pCT using HM methods can be an effective tool for adaptive radiotherapy.

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“…The iterative peak combination procedure, in contrast, can be used to locate any number of interesting peaks and can be applied to histograms created with any number of bins. Arai et al (2017) use histogram specification to improve the accuracy of proton therapy dose calculations on CBCT images. The modified CBCT images resulted in improved proton dose calculation accuracy compared to raw CBCT.…”

Section: Discussionmentioning

confidence: 99%

“…Cumulative frequency distributions are calculated from image histograms and used to determine how to adjust the shape of the source image (CBCT) histogram to match the reference image (CT) histogram. Amit and Purdie (2015), for example, use histogram specification to enable CBCT images to be used in a procedure which automatically generates radiotherapy treatment plans for breast cancer patients; Park et al (2017) use histogram specification to improve the performance of CT-CBCT deformable image registration; Zhang et al (2017) use histogram matching to allow CBCT images to be used for radiotherapy dose calculations; and Arai et al (2017) use histogram specification to enable CBCT images to be used for proton therapy dose calculations.…”

Section: Introductionmentioning

confidence: 99%

Iterative peak combination: a robust technique for identifying relevant features in medical image histograms

Joshi

Marchant

2017

Biomed. Phys. Eng. Express

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Histogram-based methods can be used to analyse and transform medical images. Histogram specification is one such method which has been widely used to transform the histograms of cone beam CT (CBCT) images to match those of corresponding CT images. However, when the derived transformation is applied to the CBCT image pixels, significant artefacts can be produced. We propose the iterative peak combination algorithm, a novel and robust method for automatically identifying relevant features in medical image histograms. The procedure is conceptually simple and can be applied equally well to both CT and CBCT image histograms. We also demonstrate how iterative peak combination can be used to transform CBCT images in such as way as to improve the Hounsfield Unit (HU) calibration of CBCT image pixel values, without introducing additional artefacts. We analyse 36 pelvis CBCT images and show that the average difference in fat tissue pixel values between CT images and CBCT images processed using the iterative peak combination algorithm is 23.7HU. Compared to 136.7HU in unprocessed CBCT images and 50.9in CBCT images processed using histogram specification.

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Feasibility of CBCT-based proton dose calculation using a histogram-matching algorithm in proton beam therapy

Cited by 50 publications

References 18 publications

“Dose of the day” based on cone beam computed tomography and deformable image registration for lung cancer radiotherapy

“Dose of the day” based on cone beam computed tomography and deformable image registration for lung cancer radiotherapy

Evaluation of Deformable Image Registration and Dose Accumulation Using Histogram Matching Algorithm between kVCT and MVCT with Helical Tomotherapy

Iterative peak combination: a robust technique for identifying relevant features in medical image histograms

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