Toward <i>in vivo</i> Dosimetry for Prostate Radiotherapy With a Transperineal Ultrasound Array: A Simulation Study

Wang, Mengxiao; Samant, Pratik; Wang, Siqi; Merill, Jack; Chen, Yong; Ahmad, Salahuddin; Li, Dengwang; Xiang, Liangzhong

doi:10.1109/trpms.2020.3015109

Cited by 12 publications

(28 citation statements)

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“…With the continuous advancement of computer and Internet technology, image processing technology has developed rapidly, playing an increasingly important role in many fields [ 17 ]. At the same time, various medical imaging examination technologies have also been continuously improved, and new requirements have been put forward for image processing [ 18 ]. Image reconstruction is commonly used to process ultrasound and spiral CT images, to obtain the target structure data [ 19 ].…”

Section: Discussionmentioning

confidence: 99%

Reconstruction Algorithm-Based Ultrasonic and Spiral CT Images in Evaluating the Effects of Dexmedetomidine Anesthesia for Acute Abdomen

Tian¹,

Zhang

Guo³

2021

Computational and Mathematical Methods in Medicine

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Objective. The study focused on the application value of iteration reconstruction algorithm-based ultrasound and spiral computed tomography (CT) examinations, and the safety of dexmedetomidine anesthesia in acute abdominal surgery. Methods. 80 cases having the acute abdomen surgery were selected as the research subjects. They were divided into group A (40 cases) and group B (40 cases) according to the anesthetic drugs used in the later period. The experimental group was injected with propofol, remifentanil, and atracurium combined with dexmedetomidine; the control group was injected with propofol, remifentanil, and atracurium only. After the operation, the patient was for observed for the pain, agitation, adverse reactions, heart rate (HR), and blood pressure. All patients received ultrasound and spiral CT examinations, and based on the characteristics of the back-projection algorithm, an accelerated algorithm was established and used to process the image, and according to which, the patient’s condition and curative effects were evaluated. Results. After image reconstruction, the ultrasound and spiral CT images were clearer with less noise and more prominent lesions than before reconstruction. Before image reconstruction, the accuracy rates of ultrasound and spiral CT in diagnosing acute abdomen were 92.3% and 91.1%, respectively. After reconstruction, the corresponding numbers were 96.3% and 98.1%, respectively. After reconstruction, the accuracy of the two methods in diagnosing acute abdomen was significantly improved compared with that before reconstruction, and the difference was statistically significant ( P < 0.05 ). The Ramsay score of the experimental group was significantly higher than that of the control group at each time period, P < 0.05 ; the agitation score and visual analogue scale (VAS) score of the experimental group were significantly lower than the control group at each time period after waking up, P < 0.05 . Conclusion. Reconstruction algorithm-based ultrasound and spiral CT images have high application value in the diagnosis of patients with acute abdomen, and dexmedetomidine has good safety in anesthesia surgery.

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Section: Discussionmentioning

confidence: 99%

Reconstruction Algorithm-Based Ultrasonic and Spiral CT Images in Evaluating the Effects of Dexmedetomidine Anesthesia for Acute Abdomen

Tian¹,

Zhang

Guo³

2021

Computational and Mathematical Methods in Medicine

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“…For the detection of XA signal, the reception angle of the real transducer was used instead of infinite angular directivity 20 . For the reconstruction of XACT images, previous work mainly used BP algorithm 14,19,21,49 . However, BP algorithm is oversimplified as it only sums the radial projections for each transducer, which cannot quantify the dose.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, quantitative in vivo dosimetry could be possible using XACT imaging if the parameters are properly modeled, and if the transducer and amplification system are well calibrated and characterized. However, the current limitations in XACT imaging make it impossible to quantitatively reconstruct dose 14,19,21 . One of the challenges in XACT imaging is the relatively long pulse duration (∼4 μs), which would affect both the signal generation efficiency and imaging resolution 25,26 .…”

Section: Introductionmentioning

confidence: 99%

“…However, the current limitations in XACT imaging make it impossible to quantitatively reconstruct dose. 14,19,21 One of the challenges in XACT imaging is the relatively long pulse duration (∼4 µs), which would affect both the signal generation efficiency and imaging resolution. 25,26 Deconvolution of the detected transducer signals from the LINAC pulse shape could be an effective approach to resolve this problem.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

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BackgroundRadiation 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.

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“…In a recent numerical study [28], the potential of XACT for tracking the X-ray beam and in vivo dosimetry during stereotactic partial breast irradiation [29] was examined. Wang et al carried out simulations to demonstrate the feasibility of using a transperineal (planar) ultrasound transducer array for XACT imaging to monitor prostate radiotherapy [30]. They also developed a workflow for simultaneous, real-time XA and US imaging capturing the dose deposition and the movement of the tissue respectively.…”

Section: Model-based X-ray Induced Acoustic Computed Tomographymentioning

confidence: 99%