Data-Driven Parameter Selection in Radiation Therapy Treatment Planning
| dc.contributor | Lee, Taewoo | |
| dc.contributor.author | Koutouan, Priscille | |
| dc.date.accessioned | 2018-02-27T15:51:50Z | |
| dc.date.available | 2018-02-27T15:51:50Z | |
| dc.date.issued | 2017-10-12 | |
| dc.description.abstract | Intensity-modulated radiation therapy (IMRT) is one of the most common therapies for prostate cancer. IMRT’s goal is to kill the tumor while sparing nearby healthy organs (bladder, rectum and femoral heads). Multiple clinical objectives and time-consuming trial-and-error techniques lead to inefficiency and suboptimal parameter selection process. Inverse optimization determined fewer objectives and weights that generate clinically acceptable treatments for prostate cancer. | |
| dc.description.department | Industrial Engineering, Department of | |
| dc.description.department | Honors College | |
| dc.identifier.uri | http://hdl.handle.net/10657/2505 | |
| dc.language.iso | en_US | |
| dc.relation.ispartof | Summer Undergraduate Research Fellowship | |
| dc.rights | The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s). | |
| dc.title | Data-Driven Parameter Selection in Radiation Therapy Treatment Planning | |
| dc.type | Poster |