TU‐C‐M100F‐01: Development of a Linac‐MRI System for Real‐Time ART

Fallone, B. G.; Carlone, Marco; Murray, B.; Rathee, S; Stanescu, T.; Steciw, S; Wachowicz, Keith; Kirkby, Charles

doi:10.1118/1.2761342

Cited by 52 publications

(54 citation statements)

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“…This is of particular importance not only for treatment systems with longer system latencies but also with the realization of more complex image-guided radiotherapy systems under development that are subject to larger system latencies. [26][27][28][29] RMSE for diaphragm respiratory prediction was higher than abdominal wall respiratory prediction RMSE. This is potentially due to the lower sampling rate of diaphragm respiratory data (5 Hz) compared to abdominal wall respiratory data (30 Hz); a previous study by Ren et al found that a lower sampling rate resulted in a reduction in prediction accuracy.…”

Section: Discussionmentioning

confidence: 98%

Audiovisual biofeedback improves motion prediction accuracy

et al. 2013

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Purpose:The accuracy of motion prediction, utilized to overcome the system latency of motion management radiotherapy systems, is hampered by irregularities present in the patients' respiratory pattern. Audiovisual (AV) biofeedback has been shown to reduce respiratory irregularities. The aim of this study was to test the hypothesis that AV biofeedback improves the accuracy of motion prediction. Methods: An AV biofeedback system combined with real-time respiratory data acquisition and MR images were implemented in this project. One-dimensional respiratory data from (1) the abdominal wall (30 Hz) and (2) the thoracic diaphragm (5 Hz) were obtained from 15 healthy human subjects across 30 studies. The subjects were required to breathe with and without the guidance of AV biofeedback during each study. The obtained respiratory signals were then implemented in a kernel density estimation prediction algorithm. For each of the 30 studies, five different prediction times ranging from 50 to 1400 ms were tested (150 predictions performed). Prediction error was quantified as the root mean square error (RMSE); the RMSE was calculated from the difference between the real and predicted respiratory data. The statistical significance of the prediction results was determined by the Student's t-test. Results: Prediction accuracy was considerably improved by the implementation of AV biofeedback. Of the 150 respiratory predictions performed, prediction accuracy was improved 69% (103/150) of the time for abdominal wall data, and 78% (117/150) of the time for diaphragm data. The average reduction in RMSE due to AV biofeedback over unguided respiration was 26% (p < 0.001) and 29% (p < 0.001) for abdominal wall and diaphragm respiratory motion, respectively. Conclusions: This study was the first to demonstrate that the reduction of respiratory irregularities due to the implementation of AV biofeedback improves prediction accuracy. This would result in increased efficiency of motion management techniques affected by system latencies used in radiotherapy.

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Section: Discussionmentioning

confidence: 98%

Audiovisual biofeedback improves motion prediction accuracy

et al. 2013

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“…The method described in this paper has been applied to the optimal design of an open compact 0.5 T biplanar superconducting magnet assembly for potential use in the linac-MRI system currently pursued by our group [38]- [40]. The geometry of the magnet assembly and linac arrangement is illustrated in Fig.…”

Section: Optimization Examplementioning

confidence: 99%

Design and Optimization of Superconducting MRI Magnet Systems With Magnetic Materials

Tadic

Fallone

2012

IEEE Trans. Appl. Supercond.

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We present a method for the optimal design of superconducting magnet systems for magnetic resonance imaging (MRI). The method integrates a linear-programming technique with the finite-element method (FEM) to calculate minimumvolume coil configurations subject to magnetic field homogeneity constraints for MRI systems that contain general nonaxisymmetric magnetic yoke structures. The method rapidly converges and only requires a small number of iterations and FEM analyses to be performed. In particular, the method is well suited for magnet design problems that necessitate large 3-D FEM models. We demonstrate the method with the optimal design of an open and compact 0.5 T yoked biplanar magnet assembly considered for use in an integrated medical linear accelerator and MRI system. In particular, the coil configuration for this magnet design is constructed from a MgB 2 high-temperature superconducting material that operates in a conduction-cooled cryogen-free environment.

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“…Advances in radiation-therapy rely on the improvements in the supporting technology: medical accelerators, robotic systems, various imaging and monitoring systems, as well as radiation-therapy planning and delivery software. Recent technological advancements in radiation oncology are directed towards several overlapping goals [73][74][75][76][77][78][79][80][81][82][83][84][85][86][87][88][89][90]: (i) integrating of these multiple-modality systems, (ii) increasing the overall spatial and dosimetric accuracy of the treatment and decreasing treatment time, (iii) miniaturizing and decreasing the cost of the hardware, and (iv) developing new treatment machines for more specific tumor sites and/or applications. Future compact-design and low-cost linacs fall directly under the last three categories.…”

Section: Implication On Medical Acceleratorsmentioning

confidence: 99%

PASER – particle acceleration by stimulated emission of radiation: theory, experiment, and future applications

Banna¹,

Mizrahi

Schächter

2009

Laser & Photonics Reviews

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We review the theory and the experimental demonstration of one of the novel advanced particle acceleration techniques dubbed PASER -for particle acceleration by stimulated emission of radiation. In such an acceleration paradigm, bundles of electrons are accelerated using the same principle as in laser. A proof-of-principle experiment, conducted at the Brookhaven National Laboratory, demonstrated this novel acceleration scheme. A 45 MeV electron macrobunch was modulated by a high-power CO2 laser in a wiggler, and then injected into an excited CO2 gas mixture. The emerging microbunches reveal a 0.15% relative change in the kinetic energy in less than 40 cm long interaction region. This is the first experimental demonstration of coherent collisions of the second kind. The fundamental physics underlying the PASER paradigm is discussed via the analysis of a two-dimensional analytic model used to evaluate the energy exchange occurring as a train of electron microbunches traverses an active medium. Furthermore, advanced PASER concepts such as non-linear interaction of electrons and waves in an active medium, the occurrence of resonant absorption instability, and PASER-based optical Bragg accelerators, are considered as well. The possible impact of PASER-based accelerators on future compact medical accelerators, and on high-energy physics applications is discussed.Light-electron-atom interaction. (a) The Franck-Hertz experiment -collision of the first kind. (b) The Latyscheff-Leipunsky experiment -collision of the second kind. (c) LASER -light amplification by stimulated emission of radiation. Photons coherent multiple collisions. (d) PASER -particle acceleration by stimulated emission of radiation. Coherent collisions of the second kind. Reprinted with permission from [49].

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TU‐C‐M100F‐01: Development of a Linac‐MRI System for Real‐Time ART

Cited by 52 publications

References 0 publications

Audiovisual biofeedback improves motion prediction accuracy

Audiovisual biofeedback improves motion prediction accuracy

Design and Optimization of Superconducting MRI Magnet Systems With Magnetic Materials

PASER – particle acceleration by stimulated emission of radiation: theory, experiment, and future applications

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