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Darne, Chinmay

https://orcid.org/0000-0001-8748-1115

Mayo Clinic

The University of Texas MD Anderson Cancer Center

Citations 2

Image quality evaluation of projection- and depth dose-based approaches to integrating proton radiography using a monolithic scintillator detector
Tendler, Irwin I. , Robertson, Daniel , Darne, Chinmay , Panthi, Rajesh , Alsanea, Fahed , Collins‐Fekete, Charles‐Antoine , Beddar, Sam , Tendler, Irwin

Physics in Medicine & Biology | June 18, 2021 | Volume: 66 | Issue: 14 | Pages: 144001

10.1088/1361-6560/ac0cc3 Get It

Abstract The purpose of this study is to compare the image quality of an integrating proton radiography (PR) system, composed of a monolithic scintillator and two digital cameras, using integral lateral-dose and integral depth-dose image reconstruction techniques. Monte Carlo simulations were used to obtain the energy deposition in a 3D monolithic scintillator detector (30 × 30 × 30 cm 3 poly vinyl toluene organic scintillator) to create radiographs of various phantoms—a slanted aluminum cube for spatial resolution analysis and a Las Vegas phantom for contrast analysis. The light emission of the scintillator was corrected using Birks scintillation model. We compared two integrating PR methods and the expected results from an idealized proton tracking radiography system. Four different image reconstruction methods were utilized in this study: integral scintillation light projected from the beams-eye view, depth-dose based reconstruction methods both with and without optimization, and single particle tracking PR was used for reference data. Results showed that heterogeneity artifact due to medium-interface mismatch was identified from the Las Vegas phantom simulated in air. Spatial resolution was found to be highest for single-event reconstruction. Contrast levels, ranked from best to worst, were found to correspond to particle tracking, optimized depth-dose, depth-dose, and projection-based image reconstructions. The image quality of a monolithic scintillator integrating PR system was sufficient to warrant further exploration. These results show promise for potential clinical use as radiographic techniques for visualizing internal patient anatomy during proton radiotherapy.
Performance characterization of a 3D liquid scintillation detector for discrete spot scanning proton beam systems
Darne, Chinmay , Alsanea, Fahed , Robertson, Daniel , Sahoo, Narayan , Beddar, Sam , Robertson, Daniel G

Physics in Medicine & Biology | June 8, 2017 | Volume: 62 | Issue: 14 | Pages: 5652-5667

10.1088/1361-6560/aa780b Get It

Abstract Existing systems for proton beam dosimetry are limited in their ability to provide a complete, accurate, and detailed account of volumetric dose distribution. In this work, we describe the design and development of a portable, fast, and reusable liquid scintillator-based three-dimensional (3D) optical detection system for use in proton therapy. Our long-term goal is to use this system clinically for beam characterization, dosimetry, and quality assurance studies of discrete spot scanning proton beam systems. The system used a 20 × 20 × 20 cm 3 liquid scintillator volume. Three mutually orthogonal cameras surrounding this volume captured scintillation photons emitted in response to the proton beams. The cameras exhibited a mean spatial resolution of 0.21 mm over the complete detection volume and a temporal resolution of 11 ms. The system is shown to be capable of capturing all 94 beam energies delivered by a synchrotron and performing rapid beam range measurements with a mean accuracy of 0.073 ± 0.030 mm over all energies. The range measurement uncertainty for doses less than 1 cGy was found to be ±0.355 mm, indicating high precision for low dose detection. Finally, we demonstrated that using multiple cameras allowed for the precise locations of the delivered beams to be tracked in 3D. We conclude that this detector is capable of real-time and accurate tracking of dynamic spot beam deliveries in 3D. The high-resolution light profiles it generates will be useful for future 3D construction of dose maps.