Towards quantitative in vivo dosimetry using x‐ray acoustic computed tomography

Author:

Sun Leshan1,Gonzalez Gilberto2,Pandey Prabodh Kumar3,Wang Siqi1,Kim Kaitlyn1,Limoli Charles4,Chen Yong2,Xiang Liangzhong135

Affiliation:

1. Department of Biomedical Engineering University of California Irvine California USA

2. Department of Radiation Oncology University of Oklahoma Health Sciences Center Oklahoma City Oklahoma USA

3. Department of Radiological Sciences University of California at Irvine Irvine California USA

4. Department of Radiation Oncology University of California Irvine, Medical Sciences I Irvine California USA

5. Beckman Laser Institute University of California at Irvine Irvine California USA

Abstract

AbstractBackgroundRadiation dosimetry is essential for radiation therapy (RT) to ensure that radiation dose is accurately delivered to the tumor. Despite its wide use in clinical intervention, the delivered radiation dose can only be planned and verified via simulation. This makes precision radiotherapy challenging while in‐line verification of the delivered dose is still absent in the clinic. X‐ray‐induced acoustic computed tomography (XACT) has recently been proposed as an imaging tool for in vivo dosimetry.PurposeMost of the XACT studies focus on localizing the radiation beam. However, it has not been studied for its potential for quantitative dosimetry. The aim of this study was to investigate the feasibility of using XACT for quantitative in vivo dose reconstruction during radiotherapy.MethodsVarian Eclipse system was used to generate simulated uniform and wedged 3D radiation field with a size of 4 cm 4 cm. In order to use XACT for quantitative dosimetry measurements, we have deconvoluted the effects of both the x‐ray pulse shape and the finite frequency response of the ultrasound detector. We developed a model‐based image reconstruction algorithm to quantify radiation dose in vivo using XACT imaging, and universal back‐projection (UBP) reconstruction is used as comparison. The reconstructed dose was calibrated before comparing it to the percent depth dose (PDD) profile. Structural similarity index matrix (SSIM) and root mean squared error (RMSE) are used for numeric evaluation. Experimental signals were acquired from 4 cm 4 cm radiation field created by Linear Accelerator (LINAC) at depths of 6, 8, and 10 cm beneath the water surface. The acquired signals were processed before reconstruction to achieve accurate results.ResultsApplying model‐based reconstruction algorithm with non‐negative constraints successfully reconstructed accurate radiation dose in 3D simulation study. The reconstructed dose matches well with the PDD profile after calibration in experiments. The SSIMs between the model‐based reconstructions and initial doses are over 85%, and the RMSEs of model‐based reconstructions are eight times lower than the UBP reconstructions. We have also shown that XACT images can be displayed as pseudo‐color maps of acoustic intensity, which correspond to different radiation doses in the clinic.ConclusionOur results show that the XACT imaging by model‐based reconstruction algorithm is considerably more accurate than the dose reconstructed by UBP algorithm. With proper calibration, XACT is potentially applicable to the clinic for quantitative in vivo dosimetry across a wide range of radiation modalities. In addition, XACT's capability of real‐time, volumetric dose imaging seems well‐suited for the emerging field of ultrahigh dose rate “FLASH” radiotherapy.

Funder

National Institutes of Health

American Cancer Society

Publisher

Wiley

Subject

General Medicine

Reference54 articles.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. X-ray induced acoustic computed tomography (XACT);Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP);2023

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