Literature DB >> 7493836

Collision detection and avoidance during treatment planning.

J L Humm1, D Pizzuto, E Fleischman, R Mohan.   

Abstract

PURPOSE: To develop computer software that assists the planner avoid potential gantry collisions with the patient or patient support assembly during the treatment planning process. METHODS AND MATERIALS: The approach uses a simulation of the therapy room with a scale model of the treatment machine. Because the dimensions of the machine and patient are known, one can calculate a priori whether any desired therapy field is possible or will result in a collision. To assist the planner, we have developed a graphical interface enabling the accurate visualization of each treatment field configuration within a "room's eye view" treatment planning window. This enables the planner to be aware of, and alleviate any potential collision hazards. To circumvent blind spots in the graphic representation, an analytical software module precomputes whether each update of the gantry or turntable position is safe.
RESULTS: If a collision is detected, the module alerts the planner and suggests collision evasive actions such as either an extended distance treatment or the gantry angle of closest approach.
CONCLUSIONS: The model enables the planner to experiment with unconventional noncoplanar treatment fields, and immediately test their feasibility.

Entities:  

Mesh:

Year:  1995        PMID: 7493836     DOI: 10.1016/0360-3016(95)00155-7

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  9 in total

1.  Interactive X-ray and proton therapy training and simulation.

Authors:  Felix G Hamza-Lup; Shane Farrar; Erik Leon
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-06-09       Impact factor: 2.924

2.  The development and verification of a highly accurate collision prediction model for automated noncoplanar plan delivery.

Authors:  Victoria Y Yu; Angelia Tran; Dan Nguyen; Minsong Cao; Dan Ruan; Daniel A Low; Ke Sheng
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

3.  Collision indicator charts for gantry-couch position combinations for Varian linacs.

Authors:  Stewart John Becker
Journal:  J Appl Clin Med Phys       Date:  2011-03-02       Impact factor: 2.102

4.  Development and clinical implementation of eclipse scripting-based automated patient-specific collision avoidance software.

Authors:  Thomas D Mann; Nicolas P Ploquin; William R Gill; Kundan S Thind
Journal:  J Appl Clin Med Phys       Date:  2019-07-07       Impact factor: 2.102

5.  A collision prediction framework for noncoplanar radiotherapy planning and delivery.

Authors:  Naveed Islam; Josh Kilian-Meneghin; Steven deBoer; Matthew Podgorsak
Journal:  J Appl Clin Med Phys       Date:  2020-06-19       Impact factor: 2.102

6.  Prediction of conical collimator collision for stereotactic radiosurgery.

Authors:  Jeonghoon Park; Ryan McDermott; Sangroh Kim; M Saiful Huq
Journal:  J Appl Clin Med Phys       Date:  2020-07-06       Impact factor: 2.102

7.  Design of a 3D patient-specific collision avoidance virtual framework for half-gantry proton therapy system.

Authors:  Jingjing M Dougherty; Thomas J Whitaker; Daniel W Mundy; Erik J Tryggestad; Chris J Beltran
Journal:  J Appl Clin Med Phys       Date:  2021-12-10       Impact factor: 2.102

Review 8.  AAPM task group report 302: Surface-guided radiotherapy.

Authors:  Hania A Al-Hallaq; Laura Cerviño; Alonso N Gutierrez; Amanda Havnen-Smith; Susan A Higgins; Malin Kügele; Laura Padilla; Todd Pawlicki; Nicholas Remmes; Koren Smith; Xiaoli Tang; Wolfgang A Tomé
Journal:  Med Phys       Date:  2022-03-15       Impact factor: 4.506

9.  A practical method for predicting patient-specific collision in radiotherapy.

Authors:  Junjie Miao; Chuanmeng Niu; Zhiqiang Liu; Yuan Tian; Jianrong Dai
Journal:  J Appl Clin Med Phys       Date:  2020-05-28       Impact factor: 2.102

  9 in total

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