Published 2001
| Version v1
Book
Markov chain Monte Carlo methods in radiotherapy treatment planning
Description
The Markov chain method can be used to incorporate measured data in Monte Carlo based radiotherapy treatment planning. This paper shows that convergence to the measured data, within the target precision, is achievable. Relative output factors for blocked fields and oblique beams are shown to compare well with independent measurements according to the same criterion. (orig.)
Additional details
Publishing Information
- Publisher
- Springer
- Imprint Place
- Berlin (Germany)
- ISBN
- 3-540-41795-8
- Imprint Title
- Advanced Monte Carlo for radiation physics, particle transport simulation and applications. Proceedings
- Imprint Pagination
- 1218 p.
- Journal Page Range
- p. 583-588
Conference
- Title
- International conference on advanced Monte Carlo for radiation physics, particle transport simulation and applications
- Acronym
- MC Monte Carlo 2000
- Dates
- 23-26 Oct 2000
- Place
- Lisbon (Portugal)
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 33013550
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- DEPTH DOSE DISTRIBUTIONS; MARKOV PROCESS; MONTE CARLO METHOD; RADIATION TRANSPORT; RADIOTHERAPY; SPATIAL DOSE DISTRIBUTIONS
- Descriptors DEC
- CALCULATION METHODS; MEDICINE; NUCLEAR MEDICINE; RADIATION DOSE DISTRIBUTIONS; RADIOLOGY; SPATIAL DOSE DISTRIBUTIONS; STOCHASTIC PROCESSES; THERAPY
Optional Information
- Notes
- Imprint:With CD-ROM