Matches in SemOpenAlex for { <https://semopenalex.org/work/W2075162881> ?p ?o ?g. }
Showing items 1 to 60 of
60
with 100 items per page.
- W2075162881 endingPage "3846" @default.
- W2075162881 startingPage "3846" @default.
- W2075162881 abstract "Purpose: Volumetric modulated arc therapy (VMAT) is capable of delivering highly conformable dose distribution efficiently. Its planning is, however, more computationally intensive and requires a huge amount of memory space for optimization. We present an efficient sparse decomposition method for VMAT plan optimization. Methods: A quadratic objective function with volumetric constraints is expressed as a function of the aperture shapes and weights of the incident beams. The algorithm generates a sequence of iterates to solve the optimization problem. Each step of iteratively reweighed method is to be updated by solving the subproblem involving a quadratic (L2) term and a sparsity-inducing regulation (L1) term. Through the sparse decomposition techniques of the given problem, the deliverable apertures are directly generated. The shape of each aperture is iteratively rectified to be a sequencing of arc using the manufacture constraints. An initial arc spacing of 8 degree creates 45 beams directions for a single arc, 360 degree. The angular separation is equispaced every 2 degree over the end of optimization cycle. The optimization is implemented for a Varian TrueBeamTM STX linac beams with and without flattening filters available. Three clinical cases, head and neck, lung, and prostate, have been studied for the purpose of evaluating the planning efficiency and quality of the plans. Results: The target dose coverage and critical structure sparing of VMAT plan are comparable to those of IMRT plans. The VMAT plan delivers lower doses to other OARs while keeping the similar target dose coverage to IMRT plan. The VMAT plan optimizations takes less than 3 minutes on average of the cases indicating great efficiency compared to existing methods. Conclusions: The results demonstrate that the proposed method provides competent computational efficiency for optimizing VMAT plan. The method substantially improves the speed and accuracy of VMAT plan optimization and makes future on-treatment adaptive re-planning possible." @default.
- W2075162881 created "2016-06-24" @default.
- W2075162881 creator A5014071113 @default.
- W2075162881 creator A5025751238 @default.
- W2075162881 creator A5055990936 @default.
- W2075162881 date "2012-06-01" @default.
- W2075162881 modified "2023-09-23" @default.
- W2075162881 title "SU-E-T-609: Improving the Efficiency of VMAT Plan Optimization by Using Sparse Decomposition Method" @default.
- W2075162881 doi "https://doi.org/10.1118/1.4735698" @default.
- W2075162881 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28517104" @default.
- W2075162881 hasPublicationYear "2012" @default.
- W2075162881 type Work @default.
- W2075162881 sameAs 2075162881 @default.
- W2075162881 citedByCount "0" @default.
- W2075162881 crossrefType "journal-article" @default.
- W2075162881 hasAuthorship W2075162881A5014071113 @default.
- W2075162881 hasAuthorship W2075162881A5025751238 @default.
- W2075162881 hasAuthorship W2075162881A5055990936 @default.
- W2075162881 hasConcept C11413529 @default.
- W2075162881 hasConcept C120665830 @default.
- W2075162881 hasConcept C121332964 @default.
- W2075162881 hasConcept C126255220 @default.
- W2075162881 hasConcept C168834538 @default.
- W2075162881 hasConcept C180048950 @default.
- W2075162881 hasConcept C24890656 @default.
- W2075162881 hasConcept C33923547 @default.
- W2075162881 hasConcept C41008148 @default.
- W2075162881 hasConcept C78336883 @default.
- W2075162881 hasConceptScore W2075162881C11413529 @default.
- W2075162881 hasConceptScore W2075162881C120665830 @default.
- W2075162881 hasConceptScore W2075162881C121332964 @default.
- W2075162881 hasConceptScore W2075162881C126255220 @default.
- W2075162881 hasConceptScore W2075162881C168834538 @default.
- W2075162881 hasConceptScore W2075162881C180048950 @default.
- W2075162881 hasConceptScore W2075162881C24890656 @default.
- W2075162881 hasConceptScore W2075162881C33923547 @default.
- W2075162881 hasConceptScore W2075162881C41008148 @default.
- W2075162881 hasConceptScore W2075162881C78336883 @default.
- W2075162881 hasIssue "6Part19" @default.
- W2075162881 hasLocation W20751628811 @default.
- W2075162881 hasLocation W20751628812 @default.
- W2075162881 hasOpenAccess W2075162881 @default.
- W2075162881 hasPrimaryLocation W20751628811 @default.
- W2075162881 hasRelatedWork W2057623054 @default.
- W2075162881 hasRelatedWork W2143436544 @default.
- W2075162881 hasRelatedWork W2167193308 @default.
- W2075162881 hasRelatedWork W2185475359 @default.
- W2075162881 hasRelatedWork W2371447506 @default.
- W2075162881 hasRelatedWork W2386767533 @default.
- W2075162881 hasRelatedWork W2748952813 @default.
- W2075162881 hasRelatedWork W2946209391 @default.
- W2075162881 hasRelatedWork W3009383040 @default.
- W2075162881 hasRelatedWork W3093279754 @default.
- W2075162881 hasVolume "39" @default.
- W2075162881 isParatext "false" @default.
- W2075162881 isRetracted "false" @default.
- W2075162881 magId "2075162881" @default.
- W2075162881 workType "article" @default.