Advances in 3-dimensional radiation treatment planning systems: Room-view display with real time interactivity

Purdy, James A.; Harms, William B.; Matthews, John W.; Drzymala, Robert E.; Emami, Bahman; Simpson, Joseph R.; Manolis, J.; Rosenberger, Fred U.

doi:10.1016/0360-3016(93)90471-7

Cited by 31 publications

(5 citation statements)

References 49 publications

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“…The partial 3D model was reconstructed from patient CT data as well as from a phantom calibration tool. A wide range of analytical methods for linear accelerator-based radiation therapy (XRT) have been proposed to improve the planning process [4,12,13,14]. Most methods, even though mathematically accurate, are based on hardware numeric rotational and translational values, disregarding patientspecific and detailed hardware-specific geometry.…”

Section: Rationale and Related Workmentioning

confidence: 99%

Interactive X-ray and proton therapy training and simulation

2015

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Section: Rationale and Related Workmentioning

confidence: 99%

Interactive X-ray and proton therapy training and simulation

2015

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“…A wide range of analytical methods for linac (linear accelerator)-based radiation therapy have been proposed in the past as means to improve the EBRT planning process [1][2][3][4]. Some of these methods, even though accurate, are based on hardware numeric rotational and translational values, disregarding patient-specific and detailed hardware-specific geometry.…”

Section: Rationalementioning

confidence: 99%

Online external beam radiation treatment simulator

2008

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Radiation therapy is an effective and widely accepted form of treatment for many types of cancer that requires extensive computerized planning. Unfortunately, current treatment planning systems have limited or no visual aid that combines patient volumetric models extracted from patient-specific CT data with the treatment device geometry in a 3D interactive simulation. We illustrate the potential of 3D simulation in radiation therapy with a web-based interactive system that combines novel standards and technologies. We discuss related research efforts in this area and present in detail several components of the simulator. An objective assessment of the accuracy of the simulator and a usability study prove the potential of such a system for simulation and training.

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“…Then a large variety of images, beams eye view (BEV, the fields seen from the radiation source), digital reconstructed radiograms (DRR) simulating an ordinary roentgen film, dose volume histograms (DVH, see below), isodose surfaces etc. can be displayed for assessment of the optimal plan (27)(28)(29)(48)(49)(50)(51)(52)(53)(54)(55). The BEV is an important visualisation tool, useful at the planning stage for choosing portal entry angles and field shapes which allow volumetric assessment of normal tissue (48,49).…”

Section: Treatment Planning (Tp)mentioning

confidence: 99%

“…Special attention must be focused on compensation to ensure homogeneous dose distribution (57). By introducing automatic 'move and shoot' procedures (58) and dynamic treatments where table, gantry or multileaf collimators are moved with the radiation on, the simulation of the whole treatment procedure to avoid any collisions has become increasingly important (room's eyeview) (50,(59)(60)(61). The whole treatment delivery needs an accurate sequence processor programme (51,52).…”

Section: Treatment Planning (Tp)mentioning

confidence: 99%