Data-Driven Parameter Selection in Radiation Therapy Treatment Planning

dc.contributorLee, Taewoo
dc.contributor.authorKoutouan, Priscille
dc.date.accessioned2018-02-27T15:51:50Z
dc.date.available2018-02-27T15:51:50Z
dc.date.issued2017-10-12
dc.description.abstractIntensity-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.departmentIndustrial Engineering, Department of
dc.description.departmentHonors College
dc.identifier.urihttp://hdl.handle.net/10657/2505
dc.language.isoen_US
dc.relation.ispartofSummer Undergraduate Research Fellowship
dc.rightsThe 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.titleData-Driven Parameter Selection in Radiation Therapy Treatment Planning
dc.typePoster
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Koutouan_Priscille_2017URD.pptx
Size:
1.62 MB
Format:
Microsoft Powerpoint XML
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.76 KB
Format:
Plain Text
Description: