Multiobjective Optimization in Imrt Treatment Planning

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Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783838372631
Total Pages : 196 pages
Book Rating : 4.3/5 (726 download)

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Book Synopsis Multiobjective Optimization in Imrt Treatment Planning by : Lizhen Shao

Download or read book Multiobjective Optimization in Imrt Treatment Planning written by Lizhen Shao and published by LAP Lambert Academic Publishing. This book was released on 2010-07 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of intensity modulated radiation therapy (IMRT) is to kill tumor cells while at the same time protecting the surrounding tissue and organs from the damaging effect of radiation. Given the number of beams and beam directions, beam intensity optimization needs to determine beam intensity profiles that yield the best dose distribution under consideration of clinical and physical constraints. In this book, we first review existing mathematical models and computation methods for the beam intensity optimization problem. Then we formulate the beam intensity optimization problem as a multiobjective linear programme (MOLP) with three objectives. The rest of the book is dedicated to developing methods to solve this large MOLP efficiently and to the application in the beam intensity optimization problem. The book provides the necessary mathmatical foundation of multiobjective optimization to solve multiobjective linear programming problems. It is well suitable to be used as a reference book on multiobjective optimization. Moreover it should also be useful to professionals who may be considering using multiobjective optimization.

Beam Angle and Fluence Map Optimization for PARETO Multi-objective Intensity Modulated Radiation Therapy Treatment Planning

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Publisher :
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.:/5 (914 download)

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Book Synopsis Beam Angle and Fluence Map Optimization for PARETO Multi-objective Intensity Modulated Radiation Therapy Treatment Planning by : Heather Champion

Download or read book Beam Angle and Fluence Map Optimization for PARETO Multi-objective Intensity Modulated Radiation Therapy Treatment Planning written by Heather Champion and published by . This book was released on 2013 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radiotherapy -- fluence -- beam -- angle -- treatment -- planning -- multi-objective -- optimization.

Evolutionary Large-Scale Multi-Objective Optimization and Applications

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Publisher : John Wiley & Sons
ISBN 13 : 1394178433
Total Pages : 358 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Evolutionary Large-Scale Multi-Objective Optimization and Applications by : Xingyi Zhang

Download or read book Evolutionary Large-Scale Multi-Objective Optimization and Applications written by Xingyi Zhang and published by John Wiley & Sons. This book was released on 2024-07-22 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tackle the most challenging problems in science and engineering with these cutting-edge algorithms Multi-objective optimization problems (MOPs) are those in which more than one objective needs to be optimized simultaneously. As a ubiquitous component of research and engineering projects, these problems are notoriously challenging. In recent years, evolutionary algorithms (EAs) have shown significant promise in their ability to solve MOPs, but challenges remain at the level of large-scale multi-objective optimization problems (LSMOPs), where the number of variables increases and the optimized solution is correspondingly harder to reach. Evolutionary Large-Scale Multi-Objective Optimization and Applications constitutes a systematic overview of EAs and their capacity to tackle LSMOPs. It offers an introduction to both the problem class and the algorithms before delving into some of the cutting-edge algorithms which have been specifically adapted to solving LSMOPs. Deeply engaged with specific applications and alert to the latest developments in the field, it’s a must-read for students and researchers facing these famously complex but crucial optimization problems. The book’s readers will also find: Analysis of multi-optimization problems in fields such as machine learning, network science, vehicle routing, and more Discussion of benchmark problems and performance indicators for LSMOPs Presentation of a new taxonomy of algorithms in the field Evolutionary Large-Scale Multi-Objective Optimization and Applications is ideal for advanced students, researchers, and scientists and engineers facing complex optimization problems.

Automating Intensity Modulated Radiation Therapy Treatment Planning by Using Hierarchical Optimization

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Publisher :
ISBN 13 :
Total Pages : 141 pages
Book Rating : 4.:/5 (939 download)

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Book Synopsis Automating Intensity Modulated Radiation Therapy Treatment Planning by Using Hierarchical Optimization by : Paras Babu Tiwari

Download or read book Automating Intensity Modulated Radiation Therapy Treatment Planning by Using Hierarchical Optimization written by Paras Babu Tiwari and published by . This book was released on 2015 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intensity modulated radiation therapy (IMRT) optimizes the beam's intensity to deliver the prescribed dose to the target while minimizing the radiation exposure to normal structures. The IMRT optimization is a complex optimization problem because of the multiple conflicting objectives in it. Due to the complexity of the optimization, the IMRT treatment planning is still a trial and error process. Hierarchical optimization was proposed to automate the treatment planning process, but its potential has not been demonstrated in a clinical setting. Moreover, hierarchical optimization is slower than the traditional optimization. The dissertation studied a sampling algorithm to reduce the hierarchical optimization time, customized an open source optimization solver to solve the nonlinear optimization formulation and demonstrated the potential of hierarchical optimization to automate the treatment planning process in a clinical setting. We generated the treatment plans of 31 prostate patients by hierarchical optimization using the same criteria as used by planners to prepare the treatment plans at Memorial Sloan Kettering Cancer Center. We found that hierarchical optimization produced the same or better treatment plans than that produced by a planner using the Eclipse treatment planning system. Therefore, the dissertation demonstrated that hierarchical optimization could automate the treatment planning process and shift the paradigm of the treatment planning from manual trial and error to an ideal automated process.

Multiobjective Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 3540889078
Total Pages : 481 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Multiobjective Optimization by : Jürgen Branke

Download or read book Multiobjective Optimization written by Jürgen Branke and published by Springer Science & Business Media. This book was released on 2008-10-15 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing. The task is challenging due to the fact that, instead of a single optimal solution, multiobjective optimization results in a number of solutions with different trade-offs among criteria, also known as Pareto optimal or efficient solutions. Hence, a decision maker is needed to provide additional preference information and to identify the most satisfactory solution. Depending on the paradigm used, such information may be introduced before, during, or after the optimization process. Clearly, research and application in multiobjective optimization involve expertise in optimization as well as in decision support. This state-of-the-art survey originates from the International Seminar on Practical Approaches to Multiobjective Optimization, held in Dagstuhl Castle, Germany, in December 2006, which brought together leading experts from various contemporary multiobjective optimization fields, including evolutionary multiobjective optimization (EMO), multiple criteria decision making (MCDM) and multiple criteria decision aiding (MCDA). This book gives a unique and detailed account of the current status of research and applications in the field of multiobjective optimization. It contains 16 chapters grouped in the following 5 thematic sections: Basics on Multiobjective Optimization; Recent Interactive and Preference-Based Approaches; Visualization of Solutions; Modelling, Implementation and Applications; and Quality Assessment, Learning, and Future Challenges.

Multicriteria Optimization in Inverse Radiotherapy Planning

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (671 download)

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Book Synopsis Multicriteria Optimization in Inverse Radiotherapy Planning by :

Download or read book Multicriteria Optimization in Inverse Radiotherapy Planning written by and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of intensity-modulated radiotherapy (IMRT) has greatly enhanced the possibilities of shaping the dose distribution. However, because of physical limitations, even with IMRT a certain dose to organs at risk is unavoidable, so in treatment planning often a compromise between different plan criteria has to be found. This thesis presents a new optimization concept that is dedicated to this type of problem. It is based on the fact that there is no single optimal plan, but many so-called Pareto optimal plans, which cannot be improved in one criterion without worsening another. A database with all Pareto optimal plans is generated and the decision which compromise is clinically the best is left to the planner. Because of the higher calculation complexity, the dose calculation of the existing planning system was accelerated by a factor of three through statistical sampling of the calculation matrices. To describe a plan, a vector containing the 'equivalent uniform doses' (EUDs) of each structure is used. Therefore two EUD models were analyzed, the 'max & mean' and the 'generalized mean' model. An algorithm was developed to include the 'generalized mean' model in the plan optimization. At the end of the thesis, the database containing all Pareto optimal solutions of a clinical test case with 1 target volume and 2 organs at risk was generated and visualized. The planner can see at first sight the dependencies of the different plan elements and can decide which plan is clinically the best.

Efficient Optimization Techniques for IMRT Treatment Planning

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Publisher :
ISBN 13 :
Total Pages : 174 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Efficient Optimization Techniques for IMRT Treatment Planning by : Arinbjörn Ólafsson

Download or read book Efficient Optimization Techniques for IMRT Treatment Planning written by Arinbjörn Ólafsson and published by . This book was released on 2006 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Perturbed Projection Methods in Convex Optimization - Applied to Radiotherapy Planning

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Publisher :
ISBN 13 : 9783839615294
Total Pages : pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Perturbed Projection Methods in Convex Optimization - Applied to Radiotherapy Planning by : Esther Bonacker

Download or read book Perturbed Projection Methods in Convex Optimization - Applied to Radiotherapy Planning written by Esther Bonacker and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Use of Computers in Radiation Therapy

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Publisher : Springer Science & Business Media
ISBN 13 : 3642597580
Total Pages : 630 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis The Use of Computers in Radiation Therapy by : Wolfgang Schlegel

Download or read book The Use of Computers in Radiation Therapy written by Wolfgang Schlegel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computers have had and will continue to have a tremendous impact on professional activity in almost all areas. This applies to radiological medicine and in particular to radiation therapy. This book compiles the most recent developments and results of the application of computers and computer science as presented at the XIIIth International Conference on the Use of Computers in Radiation Therapy in Heidelberg, Germany. The text of both oral presentations and posters is included. The book is intended for computer sientists, medical physicists, engineers and physicians in the field of radiation therapy and provides a comprehensive survey of the entire field.

Optimization in Intensity Modulated Radiation Therapy

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Publisher :
ISBN 13 :
Total Pages : 276 pages
Book Rating : 4.:/5 (16 download)

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Book Synopsis Optimization in Intensity Modulated Radiation Therapy by : Stewart Gaede

Download or read book Optimization in Intensity Modulated Radiation Therapy written by Stewart Gaede and published by . This book was released on 2003 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Treatment Planning of High Dose-Rate Brachytherapy - Mathematical Modelling and Optimization

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Publisher : Linköping University Electronic Press
ISBN 13 : 9179297382
Total Pages : 53 pages
Book Rating : 4.1/5 (792 download)

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Book Synopsis Treatment Planning of High Dose-Rate Brachytherapy - Mathematical Modelling and Optimization by : Björn Morén

Download or read book Treatment Planning of High Dose-Rate Brachytherapy - Mathematical Modelling and Optimization written by Björn Morén and published by Linköping University Electronic Press. This book was released on 2021-01-12 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer is a widespread class of diseases that each year affects millions of people. It is mostly treated with chemotherapy, surgery, radiation therapy, or combinations thereof. High doserate (HDR) brachytherapy (BT) is one modality of radiation therapy, which is used to treat for example prostate cancer and gynecologic cancer. In BT, catheters (i.e., hollow needles) or applicators are used to place a single, small, but highly radioactive source of ionizing radiation close to or within a tumour, at dwell positions. An emerging technique for HDR BT treatment is intensity modulated brachytherapy (IMBT), in which static or dynamic shields are used to further shape the dose distribution, by hindering the radiation in certain directions. The topic of this thesis is the application of mathematical optimization to model and solve the treatment planning problem. The treatment planning includes decisions on catheter placement, that is, how many catheters to use and where to place them, as well as decisions for dwell times. Our focus is on the latter decisions. The primary treatment goals are to give the tumour a sufficiently high radiation dose while limiting the dose to the surrounding healthy organs, to avoid severe side effects. Because these aims are typically in conflict, optimization models of the treatment planning problem are inherently multiobjective. Compared to manual treatment planning, there are several advantages of using mathematical optimization for treatment planning. First, the optimization of treatment plans requires less time, compared to the time-consuming manual planning. Secondly, treatment plan quality can be improved by using optimization models and algorithms. Finally, with the use of sophisticated optimization models and algorithms the requirements of experience and skill level for the planners are lower. The use of optimization for treatment planning of IMBT is especially important because the degrees of freedom are too many for manual planning. The contributions of this thesis include the study of properties of treatment planning models, suggestions for extensions and improvements of proposed models, and the development of new optimization models that take clinically relevant, but uncustomary aspects, into account in the treatment planning. A common theme is the modelling of constraints on dosimetric indices, each of which is a restriction on the portion of a volume that receives at least a specified dose, or on the lowest dose that is received by a portion of a volume. Modelling dosimetric indices explicitly yields mixed-integer programs which are computationally demanding to solve. We have therefore investigated approximations of dosimetric indices, for example using smooth non-linear functions or convex functions. Contributions of this thesis are also a literature review of proposed treatment planning models for HDR BT, including mathematical analyses and comparisons of models, and a study of treatment planning for IMBT, which shows how robust optimization can be used to mitigate the risks from rotational errors in the shield placement. Cancer är en grupp av sjukdomar som varje år drabbar miljontals människor. De vanligaste behandlingsformerna är cellgifter, kirurgi, strålbehandling eller en kombination av dessa. I denna avhandling studeras högdosrat brachyterapi (HDR BT), vilket är en form av strålbehandling som till exempel används vid behandling av prostatacancer och gynekologisk cancer. Vid brachyterapibehandling används ihåliga nålar eller applikatorer för att placera en millimeterstor strålkälla antingen inuti eller intill en tumör. I varje nål finns det ett antal så kallade dröjpositioner där strålkällan kan stanna en viss tid för att bestråla den omkringliggande vävnaden, i alla riktningar. Genom att välja lämpliga tider för dröjpositionerna kan dosfördelningen formas efter patientens anatomi. Utöver HDR BT studeras också den nya tekniken intensitetsmodulerad brachyterapi (IMBT) vilket är en variation på HDR BT där skärmning används för att minska strålningen i vissa riktningar vilket gör det möjligt att forma dosfördelningen bättre. Planeringen av en behandling med HDR BT omfattar hur många nålar som ska användas, var de ska placeras samt hur länge strålkällan ska stanna i de olika dröjpositionerna. För HDR BT kan dessa vara flera hundra stycken medan det för IMBT snarare handlar om tusentals möjliga kombinationer av dröjpositioner och inställningar av skärmarna. Planeringen resulterar i en dosplan som beskriver hur hög stråldos som tumören och intilliggande frisk vävnad och riskorgan utsätts för. Dosplaneringen kan formuleras som ett matematiskt optimeringsproblem vilket är ämnet för avhandlingen. De övergripande målsättningarna för behandlingen är att ge en tillräckligt hög stråldos till tumören, för att döda alla cancerceller, samt att undvika att bestråla riskorgan eftersom det kan ge allvarliga biverkningar. Då alla målsättningarna inte samtidigt kan uppnås fullt ut så fås optimeringsproblem där flera målsättningar behöver prioriteras mot varandra. Utöver att dosplanen uppfyller kliniska behandlingsriktlinjer så är också tidsaspekten av planeringen viktig eftersom det är vanligt att den görs medan patienten är bedövad eller sövd. Vid utvärdering av en dosplan används dos-volymmått. För en tumör anger ett dosvolymmått hur stor andel av tumören som får en stråldos som är högre än en specificerad nivå. Dos-volymmått utgör en viktig del av målen för dosplaner som tas upp i kliniska behandlingsriktlinjer och ett exempel på ett sådant mål vid behandling av prostatacancer är att 95% av prostatans volym ska få en stråldos som är minst den föreskrivna dosen. Dos-volymmått utläses ur de kliniskt betydelsefulla dos-volym histogrammen som för varje stråldosnivå anger motsvarande volym som erhåller den dosen. En fördel med att använda matematisk optimering för dosplanering är att det kan spara tid jämfört med manuell planering. Med väl utvecklade modeller så finns det också möjlighet att skapa bättre dosplaner, till exempel genom att riskorganen nås av en lägre dos men med bibehållen dos till tumören. Vidare så finns det även fördelar med en process som inte är lika personberoende och som inte kräver erfarenhet i lika stor utsträckning som manuell dosplanering i dagsläget gör. Vid IMBT är det dessutom så många frihetsgrader att manuell planering i stort sett blir omöjligt. I avhandlingen ligger fokus på hur dos-volymmått kan användas och modelleras explicit i optimeringsmodeller, så kallade dos-volymmodeller. Detta omfattar såväl analys av egenskaper hos befintliga modeller, utvidgningar av tidigare använda modeller samt utveckling av nya optimeringsmodeller. Eftersom dos-volymmodeller modelleras som heltalsproblem, vilka är beräkningskrävande att lösa, så är det också viktigt att utveckla algoritmer som kan lösa dem tillräckligt snabbt för klinisk användning. Ett annat mål för modellutvecklingen är att kunna ta hänsyn till fler kriterier som är kliniskt relevanta men som inte ingår i dos-volymmodeller. En sådan kategori av mått är hur dosen är fördelad rumsligt, exempelvis att volymen av sammanhängande områden som får en alldeles för hög dos ska vara liten. Sådana områden går dock inte att undvika helt eftersom det är typiskt för dosplaner för brachyterapi att stråldosen fördelar sig ojämnt, med väldigt höga doser till små volymer precis intill strålkällorna. Vidare studeras hur små fel i inställningarna av skärmningen i IMBT påverkar dosplanens kvalitet och de olika utvärderingsmått som används kliniskt. Robust optimering har använts för att säkerställa att en dosplan tas fram som är robust sett till dessa möjliga fel i hur skärmningen är placerad. Slutligen ges en omfattande översikt över optimeringsmodeller för dosplanering av HDR BT och speciellt hur optimeringsmodellerna hanterar de motstridiga målsättningarna.

New Developments in Multiple Objective and Goal Programming

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Publisher : Springer Science & Business Media
ISBN 13 : 3642103545
Total Pages : 167 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis New Developments in Multiple Objective and Goal Programming by : Dylan Jones

Download or read book New Developments in Multiple Objective and Goal Programming written by Dylan Jones and published by Springer Science & Business Media. This book was released on 2010-03-17 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume shows the state-of-the-art in both theoretical development and application of multiple objective and goal programming. Applications from the fields of supply chain management, financial portfolio selection, financial risk management, insurance, medical imaging, sustainability, nurse scheduling, project management, water resource management, and the interface with data envelopment analysis give a good reflection of current usage. A pleasing variety of techniques are used including models with fuzzy, group-decision, stochastic, interactive, and binary aspects. Additionally, two papers from the upcoming area of multi-objective evolutionary algorithms are included. The book is based on the papers of the 8th International Conference on Multi-Objective and Goal Programming (MOPGP08) which was held in Portsmouth, UK, in September 2008.

A Variable Reference Point Many-objective Approach to Direct Angle and Aperture Optimization in Radiation Therapy Treatment Planning

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis A Variable Reference Point Many-objective Approach to Direct Angle and Aperture Optimization in Radiation Therapy Treatment Planning by : Ali Fallahi

Download or read book A Variable Reference Point Many-objective Approach to Direct Angle and Aperture Optimization in Radiation Therapy Treatment Planning written by Ali Fallahi and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Generalized Inverse Optimization with Application to Cancer Therapy

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Generalized Inverse Optimization with Application to Cancer Therapy by : Taewoo Lee

Download or read book Generalized Inverse Optimization with Application to Cancer Therapy written by Taewoo Lee and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Adaptive Scalarization Methods in Multiobjective Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 3540791590
Total Pages : 247 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Adaptive Scalarization Methods in Multiobjective Optimization by : Gabriele Eichfelder

Download or read book Adaptive Scalarization Methods in Multiobjective Optimization written by Gabriele Eichfelder and published by Springer Science & Business Media. This book was released on 2008-05-06 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents adaptive solution methods for multiobjective optimization problems based on parameter dependent scalarization approaches. Readers will benefit from the new adaptive methods and ideas for solving multiobjective optimization.

Intensity Modulated Radiation Therapy

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Publisher : PMPH-USA
ISBN 13 : 9781550092462
Total Pages : 680 pages
Book Rating : 4.0/5 (924 download)

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Book Synopsis Intensity Modulated Radiation Therapy by : Arno J. Mundt

Download or read book Intensity Modulated Radiation Therapy written by Arno J. Mundt and published by PMPH-USA. This book was released on 2005 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the technical aspects of IMRT, and the clinical aspects of planning and delivery. The volulme explores a practical approach for radiation oncologists and medical physicists initiating or expanding and IMRT program, the fundamental biology and physics of IMRT, a site-by-site review of IMRT techniques with clinical examples, and reviews of published outcome studies.

Machine Learning, Optimization, and Big Data

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Publisher : Springer
ISBN 13 : 3319729268
Total Pages : 621 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Machine Learning, Optimization, and Big Data by : Giuseppe Nicosia

Download or read book Machine Learning, Optimization, and Big Data written by Giuseppe Nicosia and published by Springer. This book was released on 2017-12-19 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the post-conference proceedings of the Third International Workshop on Machine Learning, Optimization, and Big Data, MOD 2017, held in Volterra, Italy, in September 2017. The 50 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.