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planning:userguide:tutorials:finding_optimal_plan [2019/08/15 13:15] – [Astroid Optimization] dpatenaudeplanning:userguide:tutorials:finding_optimal_plan [2021/07/29 18:28] (current) – external edit 127.0.0.1
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 {{ :planning:userguide:tutorials:mco_selection.png?400 |}} {{ :planning:userguide:tutorials:mco_selection.png?400 |}}
 +
 +===== PBS Fraction Groups =====
 +
 +{{page>planning:userguide:tutorials:fraction_group&noheader}}
  
 ===== Optimization Constraints ===== ===== Optimization Constraints =====
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      * **Max Mean**: The maximum mean dose a structure may receive      * **Max Mean**: The maximum mean dose a structure may receive
       * This will limit the mean dose across the structure       * This will limit the mean dose across the structure
-The user can choose to apply one or multiple of these constraints to any number of structure.+     * **Overdose**: The maximum sum of the overdose that a structure may receive (//not available for ART3+O optimizer//
 +      * This will limit the total volume-weighted overdose (dose above a given threshold) that a structure receives, driving down hot spots 
 +     * **Underdose**: The maximum sum of the underdose that a structure may receive (//not available for ART3+O optimizer//
 +      * This will limit the total volume weighted underdose (dose below a given threshold) that a structures, driving up cold spots 
 +     * **Hot Spot Vol**: The maximum mean dose to the hottest portion of a structure (//not available for ART3+O optimizer//
 +      * This will keep the mean dose to the hottest portion of a structure below the given limit; portion is set as a % vol and the limit is the max mean dose allowed to that portion of the structure 
 +     * **Cold Spot Vol**: The minimum mean dose to the coldest portion of a structure (//not available for ART3+O optimizer//
 +      * This will keep the mean dose to the coldest portion of a structure above the given limit; portion is set as a % vol and the limit is the min mean allowed to that portion of the structure 
 + 
 +The user can choose to apply one or multiple of these constraints to any number of structures.
    
 ==== Working with Constraints ==== ==== Working with Constraints ====
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 ===== Feasibility and Constraints ===== ===== Feasibility and Constraints =====
-After the //Constraints// have been entered, the user may start the //Feasibility// calculation by clicking //calculate// in the //Feasibility// block. The //Feasibility// calculation is based solely on the //constraints// and it should be used to ensure that is is possible to met the specified constraints. The //Feasibility// calculation may be an iterative processes in order to get appropriate constraints established for a particular plan. In other words, the user may need to enter one or more constraints, check the feasibility, then progressively tighten the constraints and re-check the feasibility until the plan is no longer feasible, then back-off to the last feasible values. It is recommended practice to start by obtaining a feasible plan utilizing only target //Constraints// then add OAR //Constraints// as desired. Remember, using a narrow range of constraints can improve the optimizer performance and improve the resolution of the solution navigation. +After the //Constraints// have been entered, the user may start the //Feasibility// calculation by clicking //calculate// in the //Feasibility// block. The //Feasibility// calculation is based solely on the //constraints// andit should be used to ensure that it is possible to meet the specified constraints. The //Feasibility// calculation may be an iterative processes in order to get appropriate constraints established for a particular plan. In other words, the user may need to enter one or more constraints, check the feasibility, then progressively tighten the constraints and re-check the feasibility until the plan is no longer feasible, then back-off to the last feasible values. It is recommended practice to start by obtaining a feasible plan utilizing only target //Constraints// then add OAR //Constraints// as desired. Remember, using a narrow range of constraints can improve the optimizer performance and improve the resolution of the solution navigation. 
  
 The user also needs to be aware of the impact of //Constraints// being set at the //Fraction Group// level versus the //Plan// level. For example, it is possible to have a //Constraint// set in the //Plan// level so that the whole dose to an OAR is given on one day and none on the other day. This could happen when there are two //Fraction Groups// and the OAR dose is not split between the two by using Fraction Group level constraints. The user also needs to be aware of the impact of //Constraints// being set at the //Fraction Group// level versus the //Plan// level. For example, it is possible to have a //Constraint// set in the //Plan// level so that the whole dose to an OAR is given on one day and none on the other day. This could happen when there are two //Fraction Groups// and the OAR dose is not split between the two by using Fraction Group level constraints.
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       * Dose will be driven up only until the specified limit is reached (this is often more relevant that max_min, since it may not be beneficial to continue maximizing beyond a certain dose level)       * Dose will be driven up only until the specified limit is reached (this is often more relevant that max_min, since it may not be beneficial to continue maximizing beyond a certain dose level)
 <WRAP 920px center><WRAP left>[{{ :planning:userguide:tutorials:objectives_min_over.png?390 | min_overdose: Minimize the high dose}}]</WRAP><WRAP right>[{{ :planning:userguide:tutorials:objectives_min_under.png?390 | min_underdose: Minimize the low dose}}]</WRAP></WRAP><WRAP clear></WRAP> <WRAP 920px center><WRAP left>[{{ :planning:userguide:tutorials:objectives_min_over.png?390 | min_overdose: Minimize the high dose}}]</WRAP><WRAP right>[{{ :planning:userguide:tutorials:objectives_min_under.png?390 | min_underdose: Minimize the low dose}}]</WRAP></WRAP><WRAP clear></WRAP>
 +    * **min_hot_spot**: Minimize the mean dose to the hottest portion of a structure (//not available for ART3+O optimizer//)
 +      * The mean dose to the hottest portion of a structure will be driven down (i.e. the tail dose on the DVH); portion is set as a % vol of the structure
 +    * **min_cold_spot**: Maximize the mean dose to the coldest portion of a structure (//not available for ART3+O optimizer//)
 +      * The mean dose to the coldest portion of a structure will be driven up (i.e. the shoulder dose on the DVH); portion is set as a % vol of the structure
    
 ==== Working with Objectives ====  ==== Working with Objectives ==== 
planning/userguide/tutorials/finding_optimal_plan.1565874949.txt.gz · Last modified: 2021/07/29 18:24 (external edit)