Ethan A DeJongh1, Don F DeJongh1, Igor Polnyi1, Victor Rykalin1, Christina Sarosiek2, George Coutrakon2, Kirk L Duffin3, Nicholas T Karonis3,4, Caesar E Ordoñez3, Mark Pankuch5, John R Winans3, James S Welsh6,7. 1. ProtonVDA LLC, Naperville, IL, 60563, USA. 2. Department of Physics, Northern Illinois University, DeKalb, IL, 60115, USA. 3. Department of Computer Science, Northern Illinois University, DeKalb, IL, 60115, USA. 4. Data Science and Learning Division, Argonne National Laboratory, Argonne, IL, 60439, USA. 5. Northwestern Medicine Chicago Proton Center, Warrenville, IL, 60555, USA. 6. Radiation Oncology Service, Edward Hines Jr VA Medical Center, Hines, IL, 60141, USA. 7. Department of Radiation Oncology, Loyola University Stritch School of Medicine, Maywood, IL, 60153, USA.
Abstract
PURPOSE: To demonstrate a proton-imaging system based on well-established fast scintillator technology to achieve high performance with low cost and complexity, with the potential of a straightforward translation into clinical use. METHODS: The system tracks individual protons through one (X, Y) scintillating fiber tracker plane upstream and downstream of the object and into a 13-cm -thick scintillating block residual energy detector. The fibers in the tracker planes are multiplexed into silicon photomultipliers (SiPMs) to reduce the number of electronics channels. The light signal from the residual energy detector is collected by 16 photomultiplier tubes (PMTs). Only four signals from the PMTs are output from each event, which allows for fast signal readout. A robust calibration method of the PMT signal to residual energy has been developed to obtain accurate proton images. The development of patient-specific scan patterns using multiple input energies allows for an image to be produced with minimal excess dose delivered to the patient. RESULTS: The calibration of signals in the energy detector produces accurate residual range measurements limited by intrinsic range straggling. We measured the water-equivalent thickness (WET) of a block of solid water (physical thickness of 6.10 mm) with a proton radiograph. The mean WET from all pixels in the block was 6.13 cm (SD 0.02 cm). The use of patient-specific scan patterns using multiple input energies enables imaging with a compact range detector. CONCLUSIONS: We have developed a prototype clinical proton radiography system for pretreatment imaging in proton radiation therapy. We have optimized the system for use with pencil beam scanning systems and have achieved a reduction of size and complexity compared to previous designs.
PURPOSE: To demonstrate a proton-imaging system based on well-established fast scintillator technology to achieve high performance with low cost and complexity, with the potential of a straightforward translation into clinical use. METHODS: The system tracks individual protons through one (X, Y) scintillating fiber tracker plane upstream and downstream of the object and into a 13-cm -thick scintillating block residual energy detector. The fibers in the tracker planes are multiplexed into silicon photomultipliers (SiPMs) to reduce the number of electronics channels. The light signal from the residual energy detector is collected by 16 photomultiplier tubes (PMTs). Only four signals from the PMTs are output from each event, which allows for fast signal readout. A robust calibration method of the PMT signal to residual energy has been developed to obtain accurate proton images. The development of patient-specific scan patterns using multiple input energies allows for an image to be produced with minimal excess dose delivered to the patient. RESULTS: The calibration of signals in the energy detector produces accurate residual range measurements limited by intrinsic range straggling. We measured the water-equivalent thickness (WET) of a block of solid water (physical thickness of 6.10 mm) with a proton radiograph. The mean WET from all pixels in the block was 6.13 cm (SD 0.02 cm). The use of patient-specific scan patterns using multiple input energies enables imaging with a compact range detector. CONCLUSIONS: We have developed a prototype clinical proton radiography system for pretreatment imaging in proton radiation therapy. We have optimized the system for use with pencil beam scanning systems and have achieved a reduction of size and complexity compared to previous designs.
Authors: D Lo Presti; D L Bonanno; F Longhitano; D G Bongiovanni; G V Russo; E Leonora; N Randazzo; S Reito; V Sipala; G Gallo Journal: Phys Med Date: 2016-08-27 Impact factor: 2.685
Authors: Caesar E Ordoñez; Nicholas T Karonis; Kirk L Duffin; John R Winans; Ethan A DeJongh; Don F DeJongh; George Coutrakon; Nicole F Myers; Mark Pankuch; James S Welsh Journal: J Radiat Oncol Date: 2019-05-25
Authors: H F-W Sadrozinski; R P Johnson; S Macafee; A Plumb; D Steinberg; A Zatserklyaniy; V Bashkirov F Hurley; R Schulte Journal: Nucl Instrum Methods Phys Res A Date: 2012-04-13 Impact factor: 1.455
Authors: Don F DeJongh; Ethan A DeJongh; Victor Rykalin; Greg DeFillippo; Mark Pankuch; Andrew W Best; George Coutrakon; Kirk L Duffin; Nicholas T Karonis; Caesar E Ordoñez; Christina Sarosiek; Reinhard W Schulte; John R Winans; Alec M Block; Courtney L Hentz; James S Welsh Journal: Med Phys Date: 2021-11-18 Impact factor: 4.071
Authors: Christina Sarosiek; Ethan A DeJongh; George Coutrakon; Don F DeJongh; Kirk L Duffin; Nicholas T Karonis; Caesar E Ordoñez; Mark Pankuch; Victor Rykalin; John R Winans; James S Welsh Journal: Med Phys Date: 2021-03-22 Impact factor: 4.071