Anatomy‐based three‐dimensional dose optimization in brachytherapy using multiobjective genetic algorithms

Lahanas, Michael; Baltas, Dimos; Zamboglou, Nikolaos

doi:10.1118/1.598697

Cited by 62 publications

(59 citation statements)

References 14 publications

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“…The most common ones are simulated annealing algorithms [14][15][16] and genetic algorithms. [17][18][19] Gradient algorithms also have been applied. 20 In general, gradient algorithms give reproducible solutions but may be trapped in local minima far from the global minimum.…”

Section: Introductionmentioning

confidence: 99%

Optimized interstitial PDT prostate treatment planning with the Cimmino feasibility algorithm

Altschuler

Zhu

et al. 2005

Medical Physics

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The primary aim of this study was to determine whether optimized photodynamic therapy (PDT) treatment planning (seeking optimized positions, lengths, and strengths of the light sources to satisfy a given dose prescription) can improve dose coverage to the prostate and the sparing of critical organs relative to what can be achieved by the standard PDT plan. The Cimmino algorithm and search procedures based on that algorithm were tested for this purpose. A phase I motexafin lutetium (MLu)-mediated photodynamic therapy protocol is ongoing at the University of Pennsylvania. PDT for the prostate is performed with cylindrical diffusing fibers of various lengths inserted perpendicular to a base plate to obtain longitudinal coverage by a matrix of parallel catheters. The standard plan for the protocol uses sources of equal strength with equal spaced (1-cm) loading. Uniform optical properties were assumed. Our algorithms produce plans that cover the prostate and spare the urethra and rectum with less discrepancy from the dose prescription than the standard plan. The Cimmino feasibility algorithm is fast enough that changes to the treatment plan may be made in the operating room before and during PDT to optimize light delivery.

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Section: Introductionmentioning

confidence: 99%

Optimized interstitial PDT prostate treatment planning with the Cimmino feasibility algorithm

Altschuler

Zhu

et al. 2005

Medical Physics

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“…There has been studies in automating each of these steps. For example, there has been extensive effort in developing planning systems for computing optimal dose distributions for both PPI-and HDR-BT [17,18,19,20,21,22]. These dose planning systems allow physicians to compute dose distributions without directly adjusting the dwell times to meet treatment objectives.…”

Section: Background and Related Workmentioning

confidence: 99%

Initial experiments toward automated robotic implantation of skew-line needle arrangements for HDR brachytherapy

Garg¹,

Siauw²,

Berenson³

et al. 2012

2012 IEEE International Conference on Automation Science and Engineering (CASE)

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Abstract-One of the goals of automation is to increase the reliability and quality of a given process. This study aims to automate high dose rate brachytherapy (HDR-BT), a radiation therapy that places radioactive sources at the site of the tumor using needles. Although HDR-BT has a high rate of clinical success in curing prostate cancer, it also has several side effects related to needle and dose trauma. A new planning algorithm from previous work optimizes needle arrangements using skewlines (non-parallel, non-intersecting lines). This paper presents initial experiments towards an automated system for implanting skew-line needle arrangements computed from a planning system. We describe the interface, calibration and integration of the robotic hardware with the planning system, and present experiments using our robotic system to implant needles into anatomically-correct tissue phantoms. Results suggest that this system can achieve HDR-BT treatment objectives with reduced trauma to organs and low demands on operator skill, thus making the procedure repeatable at lower cost. We believe that in the future, robotic HDR-BT will result in improved treatment quality with reduced dependence on physician skill.

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“…Yu, 1997;Lahanas et al, 1999;Yu et al, 2000;Lessard et al, 2006). This is because the aim of brachytherapy is to treat the tumor without affecting healthy tissue but, naturally, increasing the dose in the tumor also increases the unwanted dose in surrounding healthy tissue.…”

Section: Introductionmentioning

confidence: 99%

Interactive Multiobjective Optimization for 3D HDR Brachytherapy Applying IND-NIMBUS

Ruotsalainen

Miettinen²,

Palmgren³

2010

Lecture Notes in Economics and Mathematical Systems

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An anatomy based three-dimensional dose optimization approach for HDR brachytherapy using interactive multiobjective optimization is presented in this paper. In brachytherapy, the goals are to irradiate a tumor without causing damage to healthy tissue. These goals are often conflicting, i.e. when one target is optimized the other one will suffer, and the solution is a compromise between them. Our interactive approach is capable of handling multiple and strongly conflicting objectives in a convenient way, and thus, the weaknesses of widely used optimization techniques (e.g. defining weights, computational burden and trial-and-error planning) can be avoided. In addition, our approach offers an easy way to navigate among the obtained Pareto optimal solutions (i.e. different treatment plans), and plan quality can be improved by finding advantageous trade-offs between the solutions. To demonstrate the advantages of our interactive approach, a clinical example of seeking dwell time values of a source in a gynecologic cervix cancer treatment is presented.

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Anatomy‐based three‐dimensional dose optimization in brachytherapy using multiobjective genetic algorithms

Cited by 62 publications

References 14 publications

Optimized interstitial PDT prostate treatment planning with the Cimmino feasibility algorithm

Optimized interstitial PDT prostate treatment planning with the Cimmino feasibility algorithm

Initial experiments toward automated robotic implantation of skew-line needle arrangements for HDR brachytherapy

Interactive Multiobjective Optimization for 3D HDR Brachytherapy Applying IND-NIMBUS

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