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Radiation therapy planning - RADIOPLAN
 
   
 

Clinical background

Radiotherapy planners face the difficult task of matching two generically conflicting planning goals: a certain curative dose must be applied to the tumor, the target volume, in order to guarantee the treatment success with a sufficiently high probability, while simultaneously keeping the dose deposit in the adjacent healthy tissue, especially in the organs at risk, on an ideally low level in order to avoid fatal complications.

The main topic of the computer supported serach for patient specific optimal therapies is the definition of an adequate plan evalution method.

Current treatment planning software evaluates plans with single values, that result by means of an adequate weighing from the individual evaluations of the dose distributions in all relevant entities, i.e. the target volume and the organs at risk. This approach does not satisfactorily represent the clinical practitioner's organ specific judgement of a treatment plan. Necessary modifications of the artificial weights cannot be realized dynamically, thus leading to a time consuming trial-and-error search process.


Project goals

With the work done in several projects, Fraunhofer ITWM contributes with different departments being involved in cooperation with its partners from the fields of medicine, physics, computer science and mathematics, to an improved treatment planning in the radiotherapy by means of open fields and the intensity-modulated radiotherapy (IMRT).

  • Main field of activity of the projects is the:

    Optimization of the therapy setup

    in the department Optimization of Fraunhofer ITWM. Based on a model of treatment planning by means of multicriteria optimization, physical therapy setups are computed. Instead of the single valued plan evaluation, multiple evaluations of the dose distribution in all involved entitities occur, which enter the optmization separately. Based on the Pareto solution concept for multicriteria problems, representative systems of efficient solutions are computed and stored in a database, which the oncologist can search interactively in order to find the treatment plan fitting best to the specific clinical case. The navigation tool developed and patented by Fraunhofer ITWM visualizes the current treatment plan proposal and the possibilities in the specific clinical case in an intuitive way.
     

  • An important basis of the optimization modul is an efficient and exact calculation of the dose distribution, which is based on a

  • Modelling of the dose absorption by means of transport equations.

    New approaches of the department Transport processes of Fraunhofer ITWM aim for a consideration of the classical pencil-beam models as special discretizations of physical transport equations. Project goal is a transfer of strategies, that proved successful for the solution of transport equations in other projects, to the dose computation in radiotherapy planning.

  • A major problem in clinical radiotherapy practise is the patient geometry, that continually changes during the 30 days lasting treatment phase. Treatment parameters computed at the beginning, have to be fitted during the treatment to the current patient geometry. This requires an

  • adaptive matching of the therapy plans

    during the whole treatment phase. A first step of this adaptation process, the automatic detection of changes between two images of the patient geometry is modelled by the dapartment Models and Algorithms in Image Processing of Fraunhofer ITWM. One applies methods from elastic registration, that can derive the transformation merely from the image data. For an increase of efficiency, a multiscale approach is used - the transformation map.

  • In the field of intesity-modulated radiotherapy planning (IMRT), the efficient

  • physical realization of the therapy plans by means of multileaf collimators

    is relevant of clinical acceptance. The department Optimization of Fraunhofer ITWM models and solves the optimal setup for the realization by means of static step-and-shoot methods as a network-flow problem in the field of discret optimization.


    Stand: 05.08.03

   
   
   

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    © Fraunhofer ITWM 2001
 
    last modified: 01/25/2002