Literature DB >> 21030745

A CT-based software tool for evaluating compensator quality in passively scattered proton therapy.

Heng Li1, Lifei Zhang, Lei Dong, Narayan Sahoo, Michael T Gillin, X Ronald Zhu.   

Abstract

We have developed a quantitative computed tomography (CT)-based quality assurance (QA) tool for evaluating the accuracy of manufactured compensators used in passively scattered proton therapy. The thickness of a manufactured compensator was measured from its CT images and compared with the planned thickness defined by the treatment planning system. The difference between the measured and planned thicknesses was calculated with use of the Euclidean distance transformation and the kd-tree search method. Compensator accuracy was evaluated by examining several parameters including mean distance, maximum distance, global thickness error and central axis shifts. Two rectangular phantoms were used to validate the performance of the QA tool. Nine patients and 20 compensators were included in this study. We found that mean distances, global thickness errors and central axis shifts were all within 1 mm for all compensators studied, with maximum distances ranging from 1.1 to 3.8 mm. Although all compensators passed manual verification at selected points, about 5% of the pixels still had maximum distances of >2 mm, most of which correlated with large depth gradients. The correlation between the mean depth gradient of the compensator and the percentage of pixels with mean distance <1 mm is -0.93 with p < 0.001, which suggests that the mean depth gradient is a good indicator of compensator complexity. These results demonstrate that the CT-based compensator QA tool can be used to quantitatively evaluate manufactured compensators.

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Year:  2010        PMID: 21030745     DOI: 10.1088/0031-9155/55/22/010

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


  3 in total

1.  Toward a better understanding of the gamma index: Investigation of parameters with a surface-based distance method.

Authors:  Heng Li; Lei Dong; Lifei Zhang; James N Yang; Michael T Gillin; X Ronald Zhu
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

2.  Potential of 3D printing technologies for fabrication of electron bolus and proton compensators.

Authors:  Wei Zou; Ted Fisher; Miao Zhang; Leonard Kim; Ting Chen; Venkat Narra; Beth Swann; Rachana Singh; Richard Siderit; Lingshu Yin; Boon-Keng Kevin Teo; Michael McKenna; James McDonough; Yue J Ning
Journal:  J Appl Clin Med Phys       Date:  2015-05-08       Impact factor: 2.102

3.  Investigation on Patient/Compensator Scatter Factor for Monitor Unit Calculation in Proton Therapy.

Authors:  Michael T Prusator; Salahuddin Ahmad; Yong Chen
Journal:  Int J Part Ther       Date:  2018-11-30
  3 in total

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