Bogner, Ludwig and Scherer, J. and Herbst, M. (1999) An inverse Monte Carlo optimization algorithm for conformal radiotherapy. PHYSICA MEDICA, 15 (3). pp. 111-119. ISSN 1120-1797,
Full text not available from this repository. (Request a copy)Abstract
The Monte Carlo algorithm Monaco Matrix is combined with a feedback controlling procedure to optimize treatment plans according to physical objectives. Included is the adherence to dose limits of the organs at risk (OAR), the minimization of the dose variance within the internal target volume (ITV) and the minimization of the overall deposited energy outside the ITV. The inverse Monte Carlo optimization code (IMCO) includes the lateral radiation transport and therefore overcomes the danger of optimizing non-realistic dose distributions when large inhomogeneities are present. As lateral scatter leads to a dose deficit just inside the boundary of the planning target volume, IMCO compensates for that through an increase of fluence. This inverse algorithm therefore produces more homogenous dose distributions inside the ITV as long as dose limits to the OAR are unviolated. The success of the optimization is demonstrated on a simple linearly shaped target within a lung/water slab phantom and on a horseshoe shaped target with an embedded organ at risk.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | RADIATION-THERAPY; BEAMS; DISTRIBUTIONS; ORIENTATIONS; inverse problem; Monte Carlo; conformal radiotherapy; intensity modulation |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Strahlentherapie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 31 Jan 2023 14:15 |
| Last Modified: | 31 Jan 2023 14:15 |
| URI: | https://pred.uni-regensburg.de/id/eprint/49157 |
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