Seeing is believing: increasing intraoperative awareness to scattered radiation in interventional procedures by combining augmented reality, Monte Carlo simulations and wireless dosimeters

Rodas, Nicolas Loy; Padoy, Nicolas

doi:10.1007/s11548-015-1161-x

Cited by 39 publications

(34 citation statements)

References 15 publications

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“…2) Extrinsic parameters' estimation: The rigid transformations T R C {1,2} between the static cameras C {1,2} and the coordinate system R are obtained in a two-step calibration procedure described in [12] and carried out once per setup. In a first step, the extrinsic parameters are computed from a calibration dataset recorded in the OR using a laser pointer.…”

Section: Methods a Setup Overviewmentioning

confidence: 99%

“…This exposure is caused mostly by scattered radiation. Since its magnitude and spatial dissemination depend on several simultaneously changing factors, highly irradiated areas are difficult to predict [12]. Indeed, small changes in the imaging device's orientation, equipment's position or shielding screens' layout can significantly affect the propagation of radiation.…”

Section: B Systems For Improving Radiation Safety In the Ormentioning

confidence: 99%

“…To this end, computer-based systems combining radiation simulations, person tracking and visualization to show the 3D dose distribution in the OR have been proposed (e.g. [11], [12], [19]). Such information is displayed in an external view by overlaying the computed 3D radiation map over a model of the current OR layout or over the clinicians' tracked shapes.…”

Section: B Systems For Improving Radiation Safety In the Ormentioning

confidence: 99%

“…In the same way, medical equipment's 3D pose estimation could be applied for collision avoidance with automated devices in an interventional room [25]. In [12], the 3D localization of the equipment in the room is required to correctly simulate the propagation of radiation.…”

Section: Equipment Detection In the Ormentioning

confidence: 99%

“…We apply the approach presented in [12] to pre-compute the 3D distribution of X-ray radiation for a set of device's standard configurations using a radiation simulation framework. The accuracy of the simulations has been evaluated in [12], showing that the results are valid to be used for visualization purposes.…”

Section: E Mobile Ar Visualization For Radiation Awarenessmentioning

confidence: 99%

See 4 more Smart Citations

See It With Your Own Eyes: Markerless Mobile Augmented Reality for Radiation Awareness in the Hybrid Room

Rodas

Barrera

Padoy

2017

IEEE Trans. Biomed. Eng.

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show abstract

Section: Methods a Setup Overviewmentioning

confidence: 99%

Section: B Systems For Improving Radiation Safety In the Ormentioning

confidence: 99%

Section: B Systems For Improving Radiation Safety In the Ormentioning

confidence: 99%

Section: Equipment Detection In the Ormentioning

confidence: 99%

Section: E Mobile Ar Visualization For Radiation Awarenessmentioning

confidence: 99%

See 3 more Smart Citations

See It With Your Own Eyes: Markerless Mobile Augmented Reality for Radiation Awareness in the Hybrid Room

Rodas

Barrera

Padoy

2017

IEEE Trans. Biomed. Eng.

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Real‐time, ray casting‐based scatter dose estimation for c‐arm x‐ray system

Alnewaini

Langer²,

Schaber

et al. 2017

J Applied Clin Med Phys

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ObjectivesDosimetric control of staff exposure during interventional procedures under fluoroscopy is of high relevance. In this paper, a novel ray casting approximation of radiation transport is presented and the potential and limitation vs. a full Monte Carlo transport and dose measurements are discussed.MethodThe x‐ray source of a Siemens Axiom Artix C‐arm is modeled by a virtual source model using single Gaussian‐shaped source. A Geant4‐based Monte Carlo simulation determines the radiation transport from the source to compute scatter from the patient, the table, the ceiling and the floor. A phase space around these scatterers stores all photon information. Only those photons are traced that hit a surface of phantom that represents medical staff in the treatment room, no indirect scattering is considered; and a complete dose deposition on the surface is calculated. To evaluate the accuracy of the approximation, both experimental measurements using Thermoluminescent dosimeters (TLDs) and a Geant4‐based Monte Carlo simulation of dose depositing for different tube angulations of the C‐arm from cranial‐caudal angle 0° and from LAO (Left Anterior Oblique) 0°–90° are realized. Since the measurements were performed on both sides of the table, using the symmetry of the setup, RAO (Right Anterior Oblique) measurements were not necessary.ResultsThe Geant4‐Monte Carlo simulation agreed within 3% with the measured data, which is within the accuracy of measurement and simulation. The ray casting approximation has been compared to TLD measurements and the achieved percentage difference was −7% for data from tube angulations 45°–90° and −29% from tube angulations 0°–45° on the side of the x‐ray source, whereas on the opposite side of the x‐ray source, the difference was −83.8% and −75%, respectively. Ray casting approximation for only LAO 90° was compared to a Monte Carlo simulation, where the percentage differences were between 0.5–3% on the side of the x‐ray source where the highest dose usually detected was mainly from primary scattering (photons), whereas percentage differences between 2.8–20% are found on the side opposite to the x‐ray source, where the lowest doses were detected. Dose calculation time of our approach was 0.85 seconds.ConclusionThe proposed approach yields a fast scatter dose estimation where we could run the Monte Carlo simulation only once for each x‐ray tube angulation to get the Phase Space Files (PSF) for being used later by our ray casting approach to calculate the dose from only photons which will hit an movable elliptical cylinder shaped phantom and getting an output file for the positions of those hits to be used for visualizing the scatter dose propagation on the phantom surface. With dose calculation times of less than one second, we are saving much time compared to using a Monte Carlo simulation instead. With our approach, larger deviations occur only in regions with very low doses, whereas it provides a high precision in high‐dose regions.

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Augmented Reality for Health and Safety Training Program Among Healthcare Workers: An Attempt at a Critical Review of the Literature

Corvino

Garzillo

Arena

et al. 2018

Human Systems Engineering and Design

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Seeing is believing: increasing intraoperative awareness to scattered radiation in interventional procedures by combining augmented reality, Monte Carlo simulations and wireless dosimeters

Abstract: The proposed system is capable to display intraoperative scattered radiation intuitively in 3D by using augmented reality. This can have a strong impact on improving clinicians' awareness of their exposure to ionizing radiation and on reducing overexposure risks.

Cited by 39 publications

References 15 publications

See It With Your Own Eyes: Markerless Mobile Augmented Reality for Radiation Awareness in the Hybrid Room

See It With Your Own Eyes: Markerless Mobile Augmented Reality for Radiation Awareness in the Hybrid Room

Real‐time, ray casting‐based scatter dose estimation for c‐arm x‐ray system

Augmented Reality for Health and Safety Training Program Among Healthcare Workers: An Attempt at a Critical Review of the Literature

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