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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shepard, D.M. Ferris, M.C. Lijun Ma Yu, C. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Radiat. Oncology, Maryland Univ., Baltimore, MD, USA (Shepard, D.M.) |
| Abstract | An inverse treatment planning system for Gamma Knife radiosurgery has been developed using nonlinear programming techniques. For each patient, the user provides a set of treatment goals such as the minimum isodose line that must surround the entire treatment volume and the maximum number of shots of radiation. After the treatment goals have been defined, the system optimizes the size, the weight, and the location of the shots of radiation. The results from eight patient cases have been analyzed using the conformity index, the homogeneity index, and DVH comparisons. In all cases, the inverse-planning system produced a dose distribution that was more conformal than the corresponding plan developed by the neurosurgeon. Treatment plans using 5-8 shots of radiation can typically be optimized in less than 15 minutes on a Sparc Ultra-10 with a 330 MHz processor. |
| Starting Page | 3217 |
| Ending Page | 3220 |
| File Size | 403676 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780364651 |
| ISSN | 1094687X |
| DOI | 10.1109/IEMBS.2000.901587 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-07-23 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Medical treatment Neoplasms Constraint optimization Neurosurgery Process planning Testing Optical sensors |
| Content Type | Text |
| Resource Type | Article |
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