نتایج جستجو برای: radiotherapy optimization

تعداد نتایج: 379036  

2004
Yin Zhang Michael Merritt

Intensity-modulated radiation therapy (IMRT) is a state-of-the-art technique for administering radiation to cancer patients. The goal of a treatment is to deliver a prescribed amount of radiation to the tumor, while limiting the amount absorbed by the surrounding healthy and critical organs. Planning an IMRT treatment requires determining fluence maps, each consisting of hundreds or more beamle...

2017
Julian Biau Emmanuel Chautard Leanne De Koning Frank Court Bruno Pereira Pierre Verrelle Marie Dutreix

BACKGROUND Radiotherapy plays a major role in the management of high grade glioma. However, the radioresistance of glioma cells limits its efficiency and drives recurrence inside the irradiated tumor volume leading to poor outcome for patients. Stereotactic hypofractionated radiotherapy is one option for recurrent high grade gliomas. Optimization of hypofractionated radiotherapy with new radios...

Journal: :Medical physics 2015
Jan Unkelbach Thomas Bortfeld David Craft Markus Alber Mark Bangert Rasmus Bokrantz Danny Chen Ruijiang Li Lei Xing Chunhua Men Simeon Nill Dávid Papp Edwin Romeijn Ehsan Salari

Volumetric modulated arc therapy (VMAT) has found widespread clinical application in recent years. A large number of treatment planning studies have evaluated the potential for VMAT for different disease sites based on the currently available commercial implementations of VMAT planning. In contrast, literature on the underlying mathematical optimization methods used in treatment planning is sca...

2003
Michael Lahanas Eduard Schreibmann Natasa Milickovic Dimos Baltas

We apply the NSGA-II algorithm and its controlled elitist version NSGA-IIc for the intensity modulated beam radiotherapy dose optimization problem. We compare the performance of the algorithms with objectives for which deterministic optimization methods provide global optimal solutions. The number of parameters to be optimized can be up to a few thousands and the number of objectives varies fro...

Journal: :Journal of Machine Learning Research 2000
Justin A. Boyan Andrew W. Moore

This paper describes algorithms that learn to improve search performance on largescale optimization tasks. The main algorithm, Stage, works by learning an evaluation function that predicts the outcome of a local search algorithm, such as hillclimbing or Walksat, from features of states visited during search. The learned evaluation function is then used to bias future search trajectories toward ...

Azadeh Soleimani Elyas Sanaei Marjaneh Mir-Sadraee Mohammad Mohammadi, Mohammad Taghi Batiar,

Introduction: Rectal and bladder cancer are the most common disease among young man. Although External Radiotherapy (EBRT) is one of the most effective treatment options introduced so far, the testis undesired radiation dose increases the risk of infertility and hormonal malfunctioning. The testicles are usually outside of the radiation field, but they can be exposed either to ...

2007
Justin A. Boyan Andrew W. Moore

This paper describes Stage, a learning algorithm that automatically improves search performance on large-scale optimization problems. Stage learns an evaluation function that predicts the outcome of a local search algorithm, such as hillclimbing or Walksat, from features of states visited during search. The learned evaluation function is used to bias future search trajectories toward better opt...

Although many methods exist for intensity modulated radiotherapy (IMRT) fluence map optimization for crisp data, based on clinical practice, some of the involved parameters are fuzzy. In this paper, the best fluence maps for an IMRT procedure were identifed as a solution of an optimization problem with a quadratic objective function, where the prescribed target dose vector was fuzzy. First, a d...

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