MCTP system model based on linear programming optimization of apertures obtained from sequencing patient image data maps

Ureba, Ana; Salguero, Francisco J.; Barbeiro, A.R.; Jiménez-Ortega, Elisa; Baeza, J.A.; Miras, Héctor; Linares, R.; Perucha, M.; Leal, Antonio

doi:10.1118/1.4890602

Cited by 9 publications

(13 citation statements)

References 58 publications

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“…This work showed that the MERT+IMRT plans were comparable or even better than those planned with conventional IMRT, and proved the possibility of planning APBI treatments by using MERT+IMRT without any additional equipment or specific device. Those plans were calculated using CARMEN, a full Monte Carlo treatment planning system developed by our group [18].…”

mentioning

confidence: 99%

Clinical implementation of combined modulated electron and photon beams with conventional MLC for accelerated partial breast irradiation

Míguez

Jiménez-Ortega

Palma

et al. 2017

Radiotherapy and Oncology

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mentioning

confidence: 99%

Clinical implementation of combined modulated electron and photon beams with conventional MLC for accelerated partial breast irradiation

Míguez

Jiménez-Ortega

Palma

et al. 2017

Radiotherapy and Oncology

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“…This linac model has been previously validated for other published works [30] by comparison with experimental measurements of profiles and depth dose distributions corresponding to several field sizes (ranging from 2.4x2.4cm 2 to 16x21cm 2 ) obtained with ionization chamber and semiconductor diode. These results were achieved with a statistical uncertainty of less than 1%, and an agreement within 2% was obtained between experimental measurements and MC calculations.…”

Section: Methodsmentioning

confidence: 95%

3D VMAT Verification Based on Monte Carlo Log File Simulation with Experimental Feedback from Film Dosimetry

et al. 2016

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A model based on a specific phantom, called QuAArC, has been designed for the evaluation of planning and verification systems of complex radiotherapy treatments, such as volumetric modulated arc therapy (VMAT). This model uses the high accuracy provided by the Monte Carlo (MC) simulation of log files and allows the experimental feedback from the high spatial resolution of films hosted in QuAArC. This cylindrical phantom was specifically designed to host films rolled at different radial distances able to take into account the entrance fluence and the 3D dose distribution. Ionization chamber measurements are also included in the feedback process for absolute dose considerations. In this way, automated MC simulation of treatment log files is implemented to calculate the actual delivery geometries, while the monitor units are experimentally adjusted to reconstruct the dose-volume histogram (DVH) on the patient CT. Prostate and head and neck clinical cases, previously planned with Monaco and Pinnacle treatment planning systems and verified with two different commercial systems (Delta4 and COMPASS), were selected in order to test operational feasibility of the proposed model. The proper operation of the feedback procedure was proved through the achieved high agreement between reconstructed dose distributions and the film measurements (global gamma passing rates > 90% for the 2%/2 mm criteria). The necessary discretization level of the log file for dose calculation and the potential mismatching between calculated control points and detection grid in the verification process were discussed. Besides the effect of dose calculation accuracy of the analytic algorithm implemented in treatment planning systems for a dynamic technique, it was discussed the importance of the detection density level and its location in VMAT specific phantom to obtain a more reliable DVH in the patient CT. The proposed model also showed enough robustness and efficiency to be considered as a pre-treatment VMAT verification system.

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“…At least, a compromise solution could be achieved by considering the dose prescription at the voxel level into an adequate optimization algorithm able to impose one or another prescription as appropriate to fulfill the global objective. In order to provide a solution to this problem, we implemented a linear programming (LP) formulation in our planning process [18]. LP based optimization allows to keep the molecular information from the functional image throughout the planning process, as demonstrated in a recent study [19].…”

Section: Methodsmentioning

confidence: 99%

“…To overcome the inadequate optimization method based on the traditional intensity maps when biological considerations have to be taken into account, we developed the BIOMAP algorithm [18], already implemented in CARMEN, which is based on a specific direct aperture optimization assumed to be more efficient for ART [29]. This algorithm takes into account both the morphological and the functional information by means of the generation of ray-tracing projections for each incident beam, which are managed as matrices under Boolean combinations.…”

Section: Methodsmentioning

confidence: 99%

“…This algorithm takes into account both the morphological and the functional information by means of the generation of ray-tracing projections for each incident beam, which are managed as matrices under Boolean combinations. Therefore, the sequencing process to obtain apertures is performed on maps with biophysical information instead of on intensity maps [18].…”

Section: Methodsmentioning

confidence: 99%

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Accurate, robust and harmonized implementation of morpho-functional imaging in treatment planning for personalized radiotherapy

et al. 2019

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In this work we present a methodology able to use harmonized PET/CT imaging in dose painting by number (DPBN) approach by means of a robust and accurate treatment planning system. Image processing and treatment planning were performed by using a Matlab-based platform, called CARMEN, in which a full Monte Carlo simulation is included. Linear programming formulation was developed for a voxel-by-voxel robust optimization and a specific direct aperture optimization was designed for an efficient adaptive radiotherapy implementation. DPBN approach with our methodology was tested to reduce the uncertainties associated with both, the absolute value and the relative value of the information in the functional image. For the same H&N case, a single robust treatment was planned for dose prescription maps corresponding to standardized uptake value distributions from two different image reconstruction protocols: One to fulfill EARL accreditation for harmonization of [18F]FDG PET/CT image, and the other one to use the highest available spatial resolution. Also, a robust treatment was planned to fulfill dose prescription maps corresponding to both approaches, the dose painting by contour based on volumes and our voxel-by-voxel DPBN. Adaptive planning was also carried out to check the suitability of our proposal.Different plans showed robustness to cover a range of scenarios for implementation of harmonizing strategies by using the highest available resolution. Also, robustness associated to discretization level of dose prescription according to the use of contours or numbers was achieved. All plans showed excellent quality index histogram and quality factors below 2%. Efficient solution for adaptive radiotherapy based directly on changes in functional image was obtained. We proved that by using voxel-by-voxel DPBN approach it is possible to overcome typical drawbacks linked to PET/CT images, providing to the clinical specialist confidence enough for routinely implementation of functional imaging for personalized radiotherapy.

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MCTP system model based on linear programming optimization of apertures obtained from sequencing patient image data maps

Cited by 9 publications

References 58 publications

Clinical implementation of combined modulated electron and photon beams with conventional MLC for accelerated partial breast irradiation

Clinical implementation of combined modulated electron and photon beams with conventional MLC for accelerated partial breast irradiation

3D VMAT Verification Based on Monte Carlo Log File Simulation with Experimental Feedback from Film Dosimetry

Accurate, robust and harmonized implementation of morpho-functional imaging in treatment planning for personalized radiotherapy

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