Literature DB >> 16752572

Fast voxel and polygon ray-tracing algorithms in intensity modulated radiation therapy treatment planning.

Christopher Fox1, H Edwin Romeijn, James F Dempsey.   

Abstract

We present work on combining three algorithms to improve ray-tracing efficiency in radiation therapy dose computation. The three algorithms include: An improved point-in-polygon algorithm, incremental voxel ray tracing algorithm, and stereographic projection of beamlets for voxel truncation. The point-in-polygon and incremental voxel ray-tracing algorithms have been used in computer graphics and nuclear medicine applications while the stereographic projection algorithm was developed by our group. These algorithms demonstrate significant improvements over the current standard algorithms in peer reviewed literature, i.e., the polygon and voxel ray-tracing algorithms of Siddon for voxel classification (point-in-polygon testing) and dose computation, respectively, and radius testing for voxel truncation. The presented polygon ray-tracing technique was tested on 10 intensity modulated radiation therapy (IMRT) treatment planning cases that required the classification of between 0.58 and 2.0 million voxels on a 2.5 mm isotropic dose grid into 1-4 targets and 5-14 structures represented as extruded polygons (a.k.a. Siddon prisms). Incremental voxel ray tracing and voxel truncation employing virtual stereographic projection was tested on the same IMRT treatment planning cases where voxel dose was required for 230-2400 beamlets using a finite-size pencil-beam algorithm. Between a 100 and 360 fold cpu time improvement over Siddon's method was observed for the polygon ray-tracing algorithm to perform classification of voxels for target and structure membership. Between a 2.6 and 3.1 fold reduction in cpu time over current algorithms was found for the implementation of incremental ray tracing. Additionally, voxel truncation via stereographic projection was observed to be 11-25 times faster than the radial-testing beamlet extent approach and was further improved 1.7-2.0 fold through point-classification using the method of translation over the cross product technique.

Mesh:

Year:  2006        PMID: 16752572     DOI: 10.1118/1.2189712

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


  2 in total

1.  Introducing matrix sparsity with kernel truncation into dose calculations for fluence optimization.

Authors:  Hunter Stephens; Q Jackie Wu; Qiuwen Wu
Journal:  Biomed Phys Eng Express       Date:  2021-11-12

2.  Combination effects of tissue heterogeneity and geometric targeting error in stereotactic body radiotherapy for lung cancer using CyberKnife.

Authors:  Ki Mun Kang; Bae Kwon Jeong; Hoon-Sik Choi; Seung Hoon Yoo; Ui-Jung Hwang; Young Kyung Lim; Hojin Jeong
Journal:  J Appl Clin Med Phys       Date:  2015-09-08       Impact factor: 2.102

  2 in total

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