| dc.contributor.advisor | Michael P. Short. | en_US |
| dc.contributor.author | Colbert, Caroline M | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering. | en_US |
| dc.date.accessioned | 2017-12-05T16:25:09Z | |
| dc.date.available | 2017-12-05T16:25:09Z | |
| dc.date.copyright | 2017 | en_US |
| dc.date.issued | 2017 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/112375 | |
| dc.description | Thesis: S.B., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, 2017. | en_US |
| dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
| dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 51-53). | en_US |
| dc.description.abstract | Intensity Modulated Radiation Therapy (IMRT) is a type of external beam radiation therapy that has proven effective at treating many cancers. A related therapy type, Volumetric Modulated Arc Therapy (VMAT), has the potential to provide comparable dose coverage to tumor sites while better sparing nearby organs at risk (OARs). Multi-criteria Optimization (MCO) is an algorithm that is used to optimize a patient's personalized IMRT treatment plan. VMAT treatment plans cannot be optimized using early versions of the MCO algorithm. The purpose of this study was to construct a model for the automated generation of VMAT treatment plans for prostate cancers using a knowledge base of previously implemented IMRT-MCO treatment plans. An initial model configuration was iteratively refined to produce VMAT plans that represent a quality 'first pass" that can be further optimized by trained treatment planners. The clinical implementation of a model like this one could significantly improve the timeliness of standard non-MCO VMAT optimization methods. | en_US |
| dc.description.statementofresponsibility | by Caroline M. Colbert. | en_US |
| dc.format.extent | 53 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Nuclear Science and Engineering. | en_US |
| dc.title | Construction of a model for the improved planning of MCO-informed VMAT in RayStation using a knowledge base of clinical IMRT-MCO treatment plans | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | S.B. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering | |
| dc.identifier.oclc | 1011413311 | en_US |
