Effects of voxelization on dose volume histogram accuracy

Kyle Sunderland, Csaba Pinter, Andras Lasso, Gabor Fichtinger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

PURPOSE: In radiotherapy treatment planning systems, structures of interest such as targets and organs at risk are stored as 2D contours on evenly spaced planes. In order to be used in various algorithms, contours must be converted into binary labelmap volumes using voxelization. The voxelization process results in lost information, which has little effect on the volume of large structures, but has significant impact on small structures, which contain few voxels. Volume differences for segmented structures affects metrics such as dose volume histograms (DVH), which are used for treatment planning. Our goal is to evaluate the impact of voxelization on segmented structures, as well as how factors like voxel size affects metrics, such as DVH. METHODS: We create a series of implicit functions, which represent simulated structures. These structures are sampled at varying resolutions, and compared to labelmaps with high sub-millimeter resolutions. We generate DVH and evaluate voxelization error for the same structures at different resolutions by calculating the agreement acceptance percentage between the DVH. RESULTS: We implemented tools for analysis as modules in the SlicerRT toolkit based on the 3D Slicer platform. We found that there were large DVH variation from the baseline for small structures or for structures located in regions with a high dose gradient, potentially leading to the creation of suboptimal treatment plans. CONCLUSION: This work demonstrates that labelmap and dose volume voxel size is an important factor in DVH accuracy, which must be accounted for in order to ensure the development of accurate treatment plans.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling
PublisherSPIE
Volume9786
ISBN (Electronic)9781510600218
DOIs
StatePublished - 2016
Externally publishedYes
EventMedical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling - San Diego, United States
Duration: Feb 28 2016Mar 1 2016

Other

OtherMedical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling
CountryUnited States
CitySan Diego
Period2/28/163/1/16

Fingerprint

histograms
Dosimetry
Planning
dosage
Radiotherapy
Organs at Risk
Therapeutics
planning
organs
acceptability
radiation therapy
platforms
modules
gradients

Keywords

  • Dose volume histogram
  • Radiation therapy
  • Treatment planning
  • Voxelization

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Sunderland, K., Pinter, C., Lasso, A., & Fichtinger, G. (2016). Effects of voxelization on dose volume histogram accuracy. In Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling (Vol. 9786). [97862O] SPIE. https://doi.org/10.1117/12.2216310

Effects of voxelization on dose volume histogram accuracy. / Sunderland, Kyle; Pinter, Csaba; Lasso, Andras; Fichtinger, Gabor.

Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling. Vol. 9786 SPIE, 2016. 97862O.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sunderland, K, Pinter, C, Lasso, A & Fichtinger, G 2016, Effects of voxelization on dose volume histogram accuracy. in Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling. vol. 9786, 97862O, SPIE, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, United States, 2/28/16. https://doi.org/10.1117/12.2216310
Sunderland K, Pinter C, Lasso A, Fichtinger G. Effects of voxelization on dose volume histogram accuracy. In Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling. Vol. 9786. SPIE. 2016. 97862O https://doi.org/10.1117/12.2216310
Sunderland, Kyle ; Pinter, Csaba ; Lasso, Andras ; Fichtinger, Gabor. / Effects of voxelization on dose volume histogram accuracy. Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling. Vol. 9786 SPIE, 2016.
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AB - PURPOSE: In radiotherapy treatment planning systems, structures of interest such as targets and organs at risk are stored as 2D contours on evenly spaced planes. In order to be used in various algorithms, contours must be converted into binary labelmap volumes using voxelization. The voxelization process results in lost information, which has little effect on the volume of large structures, but has significant impact on small structures, which contain few voxels. Volume differences for segmented structures affects metrics such as dose volume histograms (DVH), which are used for treatment planning. Our goal is to evaluate the impact of voxelization on segmented structures, as well as how factors like voxel size affects metrics, such as DVH. METHODS: We create a series of implicit functions, which represent simulated structures. These structures are sampled at varying resolutions, and compared to labelmaps with high sub-millimeter resolutions. We generate DVH and evaluate voxelization error for the same structures at different resolutions by calculating the agreement acceptance percentage between the DVH. RESULTS: We implemented tools for analysis as modules in the SlicerRT toolkit based on the 3D Slicer platform. We found that there were large DVH variation from the baseline for small structures or for structures located in regions with a high dose gradient, potentially leading to the creation of suboptimal treatment plans. CONCLUSION: This work demonstrates that labelmap and dose volume voxel size is an important factor in DVH accuracy, which must be accounted for in order to ensure the development of accurate treatment plans.

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