Prog Med Phys.  2022 Dec;33(4):172-179. 10.14316/pmp.2022.33.4.172.

TET2DICOM-GUI: Graphical User Interface Based TET2DICOM Program to Convert Tetrahedral-MeshPhantom to DICOM-RT Dataset

• Lee SH
• Cheon BW
• Min CH
• Han H
• Kim CH
• Han MC
• Kim S

• KMID: 2537887
• DOI: http://doi.org/10.14316/pmp.2022.33.4.172

Abstract

Recently, tetrahedral phantoms have been newly adopted as international standard mesh-type reference computational phantoms (MRCPs) by the International Commission on Radiological Protection, and a program has been developed to convert them to computational tomography images and DICOM-RT structure files for application of radiotherapy. Through this program, the use of the tetrahedral standard phantom has become available in clinical practice, but utilization has been difficult due to various library dependencies requiring a lot of time and effort for installation. To overcome this limitation, in this study a newly developed TET2DICOM-GUI, a TET2DICOM program based on a graphical user interface (GUI), was programmed using only the MATLAB language so that it can be used without additional library installation and configuration. The program runs in the same order as TET2DICOM and has been optimized to run on a personal computer in a GUI environment. A tetrahedron-based male international standard human phantom, MRCP-AM, was used to evaluate TET2DICOM-GUI. Conversion into a DICOM-RT dataset applicable in clinical practice in about one hour with a personal computer as a basis was confirmed. Also, the generated DICOM-RT dataset was confirmed to be effectively implemented in the radiotherapy planning system. The program developed in this study is expected to replace actual patient data in future studies.

Keyword

Tetrahedral-mesh phantom; DICOM; Voxelization; Computational tomography; RT structure

Figure

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  Fig. 1 Execution window of TET2DICOM.

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  Fig. 2 CT images and contours of organs imported into EclipseTM. CT, computed tomography.

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  Fig. 3 CT images generated using (a) 1, (b) 4, (c) 7, and (d) 10 random points. CT, computed tomography.

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  Fig. 4 Voxelization time as a function of the number of (a) random points and (b) cores.

Reference

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