INVERSE RADIOTHERAPY TREATMENT PLANNING MODEL APPLYING BOLTZMANN-TRANSPORT EQUATION

2002 ◽  
Vol 12 (01) ◽  
pp. 109-141 ◽  
Author(s):  
JOUKO TERVO ◽  
PEKKA KOLMONEN

In the external radiation therapy the source of radiation is from outside. The healthy tissue and some organs, called critical organs which are quite intolerable for radiation, are always irradiated, too. Therefore, the careful treatment plan has to be constructed to ensure high and homogeneous dose in the tumor, but on the other hand to spare the normal tissue and critical organs possibly well. In the radiation therapy treatment planning one tries to optimize the dose distribution in the way that the above aim is satisfied. The dose distributions can be generated with different techniques. The most recent of them is the so-called multileaf collimator (MLC) delivery technique. Calculation of the dose distribution demands some dose calculation model. The paper gives a model and theoretical basis of planning applying the Boltzmann-transport equation in dose calculation and MLC delivery technique. The existence of solutions and the optimal treatment planning are considered. A preliminary artificial computer simulation is included.

2016 ◽  
Author(s):  
◽  
Brian Douglas McClain

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Online adaptive image-guided radiation therapy has been a longstanding topic of interest in the field of radiation oncology due to its unique ability to tailor a dose distribution to account for inter-fractional variations and motion of critical structuresthrough daily online re-planning. Efforts are now being made to optimize steps of the adaptive process so that treatment planning and dose delivery can be practically administered while the patient is on the treatment couch. Automated image deformation and segmentation algorithms, along with fast dose calculation and plan re-optimization, have been implemented to streamline the online adaptive treatment planning process. Due to the complexity of inter-fractional anatomical deformations, obtaining precise delineation of target and structure volumes through deformable image registration (DIR) and auto-segmentation is a challenge. Mapping accurate organ at risk (OAR) contours through DIR and auto-segmentation is especially challenging for abdomen and pelvis treatment sites known to have significant interfractionaanatomical variations. While others have studied the accuracy of auto-deformed contours and potential errors and risk factors in the adaptive radiotherapy (ART) process, this study aims to determine if accounting for these errors within specific regions of interest (ROIs) can produce a comparable treatment plan without compromising PTV coverage, OAR sparing or overall plan quality. Once the correlation between dosimetric differences and geometric errors has been identified, a system will be developed to guide the physician in focusing their contour edits to the locations that matter most to the non-deterministic optimization algorithm.


2018 ◽  
Vol 46 (2) ◽  
pp. 925-933 ◽  
Author(s):  
Adam Wang ◽  
Alexander Maslowski ◽  
Todd Wareing ◽  
Josh Star‐Lack ◽  
Taly Gilat Schmidt

2016 ◽  
Vol 35 ◽  
pp. 87-94
Author(s):  
Taposh Kumar Das

In this article we adopted the Mathematical model of solution of an improper integral which is created from the solution of the Boltzmann Transport equation (BTE) for photons. For the dose calculation of radiotherapy for cancer treatment, we need to solve the Boltzmann Transport equation. This improper integral is the important part of the BTE. Also the calculating time of the dose calculation is mostly dependent on the calculating time of this improper integral. For reducing the calculating time we need the minimum integrating area which is explained in this paper.GANIT J. Bangladesh Math. Soc.Vol. 35 (2015) 87-94


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