Back to Search
Start Over
Fully automated noncoplanar radiation therapy treatment planning
- Source :
- Medical Physics. 48:7439-7449
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Noncoplanar radiation therapy treatment planning has the potential to improve dosimetric quality as compared to traditional coplanar techniques. Likewise, automated treatment planning algorithms can reduce a planner's active treatment planning time and remove inter-planner variability. To address the limitations of traditional treatment planning, we have been developing a suite of algorithms called station parameter optimized radiation therapy (SPORT). Within the SPORT suite of algorithms, we propose a method called NC-POPS to produce noncoplanar (NC) plans using the fully automated Pareto Optimal Projection Search (POPS) algorithm. Our NC-POPS algorithm extends the original POPS algorithm to the noncoplanar setting with potential applications to both IMRT and VMAT. The proposed algorithm consists of two main parts: 1) noncoplanar beam angle optimization (BAO) and 2) fully automated inverse planning using the POPS algorithm. We evaluate the performance of NC-POPS by comparing between various noncoplanar and coplanar configurations. To evaluate plan quality, we compute the homogeneity index (HI), conformity index (CI), and dose-volume histogram (DVH) statistics for various organs-at-risk (OARs). As compared to the evaluated coplanar baseline methods, the proposed NC-POPS method achieves significantly better OAR sparing, comparable or better dose conformity, and similar dose homogeneity. Our proposed NC-POPS algorithm provides a modular approach for fully automated treatment planning of noncoplanar IMRT cases with the potential to substantially improve treatment planning workflow and plan quality.
- Subjects :
- Organs at Risk
business.industry
Computer science
Radiotherapy Planning, Computer-Assisted
medicine.medical_treatment
FOS: Physical sciences
Radiotherapy Dosage
General Medicine
Beam angle
Modular design
Physics - Medical Physics
Multi-objective optimization
Radiation therapy
Fully automated
Histogram
medicine
Medical Physics (physics.med-ph)
Radiotherapy, Intensity-Modulated
Radiometry
business
Projection (set theory)
Radiation treatment planning
Algorithm
Subjects
Details
- ISSN :
- 24734209 and 00942405
- Volume :
- 48
- Database :
- OpenAIRE
- Journal :
- Medical Physics
- Accession number :
- edsair.doi.dedup.....4b70307870bbf3dbf03da394bbcf1f59