Literature DB >> 12953910

Treatment plan modification using voxel-based weighting factors/dose prescription.

Chuan Wu1, Gustavo H Olivera, Robert Jeraj, Harry Keller, Thomas R Mackie.   

Abstract

Under various clinical situations, it is desirable to modify the original treatment plan to better suit the clinical goals. In this work, a method to help physicians modify treatment plans based on their clinical preferences is proposed. The method uses a weighted quadratic dose objective function. The commonly used organ-/ROI-based weighting factors are expanded to a set of voxel-based weighting factors in order to obtain greater flexibility in treatment plan modification. Two different but equivalent modification schemes based on Rustem's quadratic programming algorithms--modification of a weighting matrix and modification of prescribed doses--are presented. Case studies demonstrated the effectiveness of the two methods with regard to their capability to fine-tune treatment plans.

Mesh:

Year:  2003        PMID: 12953910     DOI: 10.1088/0031-9155/48/15/315

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  4 in total

1.  The use of a multiobjective evolutionary algorithm to increase flexibility in the search for better IMRT plans.

Authors:  Clay Holdsworth; Minsun Kim; Jay Liao; Mark Phillips
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  Voxel-based automatic multi-criteria optimization for intensity modulated radiation therapy.

Authors:  Yanhua Mai; Fantu Kong; Yiwei Yang; Linghong Zhou; Yongbao Li; Ting Song
Journal:  Radiat Oncol       Date:  2018-12-05       Impact factor: 3.481

3.  An Automated Treatment Plan Quality Control Tool for Intensity-Modulated Radiation Therapy Using a Voxel-Weighting Factor-Based Re-Optimization Algorithm.

Authors:  Ting Song; Nan Li; Masoud Zarepisheh; Yongbao Li; Quentin Gautier; Linghong Zhou; Loren Mell; Steve Jiang; Laura Cerviño
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

4.  Physically constrained voxel-based penalty adaptation for ultra-fast IMRT planning.

Authors:  Niklas Wahl; Mark Bangert; Cornelis P Kamerling; Peter Ziegenhein; Gijsbert H Bol; Bas W Raaymakers; Uwe Oelfke
Journal:  J Appl Clin Med Phys       Date:  2016-07-08       Impact factor: 2.102

  4 in total

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