Literature DB >> 7968836

Collision avoidance in computer optimized treatment planning.

J L Humm1.   

Abstract

Of major concern in fully automated computerized treatment delivery is the possibility of gantry/couch or gantry/patient collisions. In this work, software has been developed to detect collisions between gantry and couch or patient for both transaxial and noncoplanar treatment fields during the treatment planning process. The code uses the gantry angles, turntable angles, and position of the couch surface relative to the isocenter supplied by the planner for the prescribed radiation fields. In addition, the maximum patient anterior-posterior and lateral separations are entered in order to model the patient outline by a conservative cylindrical ellipse. By accessing a database containing the precise mechanical dimensions of the therapy equipment, 3D analytical geometry is used to test for collisions between gantry/patient and gantry/couch for each treatment field. When collisions are detected, the software inspects the use of an extended distance treatment, by recalculating and testing for collisions, with the couch at a greater distance from the collimator along the direction of the central axis. If a collision is avoided at extended distance, the lateral, longitudinal, and vertical motions of the couch are recorded for entry into the treatment plan, or else a warning message is printed, together with the nearest permissible collision-free gantry angle. Upon inspection, the planner can either elect to use the calculated closest permissible gantry angle or reject the plan. The software verifies that each proposed treatment field is safe, but also that the transition between fields is collision-free. This requires that the sequence of the treatment fields be ordered, preferably into a sequence which minimizes the delivery time compatible with patient safety.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1994        PMID: 7968836     DOI: 10.1118/1.597397

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  6 in total

1.  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

2.  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

3.  Patient motion tracking for non-isocentric and non-coplanar treatments via fixed frame-of-reference 3D camera.

Authors:  Sergey Gasparyan; Kyle Ko; Lawrie B Skinner; Ryan B Ko; Billy W Loo; Benjamin P Fahimian; Amy S Yu
Journal:  J Appl Clin Med Phys       Date:  2020-02-28       Impact factor: 2.102

4.  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

5.  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

6.  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

  6 in total

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