Accuracy assessment of image-based surface meshing for volumetric computed tomography images in the craniofacial region

Sang Hoon Kang; Moon Key Kim; Hak Jin Kim; Piao Zhengguo; Sang Hwy Lee

doi:10.1097/SCS.0000000000001139

Accuracy assessment of image-based surface meshing for volumetric computed tomography images in the craniofacial region

Sang Hoon Kang, Moon Key Kim, Hak Jin Kim, Piao Zhengguo, Sang Hwy Lee

Department of Oral and Maxillofacial Surgery

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

Three-dimensional printing and computer-Assisted surgery demand a high-precision three-dimensional mesh model created from computed tomography (CT) imaging data using an image-based meshing algorithm. We aimed to evaluate the threedimensional geometric accuracy of surface meshes produced from CT images with commercially available software packages. Methods: The CT images were acquired for 3 human dry skulls and 10 manufactured plastic skulls. Four commercially available software packages were used to produce the surface meshes in stereolithography (STL) file format. These CT-based STL surface meshes were registered and compared with three-dimensional opticalscanned reference mesh surface for evaluating the accuracy of the STL mesh produced with each software package. Results: The surface geometries produced by the CT-image-based meshing process were all relatively accurate; differences from the three-dimensional optical-scanned data were in the voxel or subvoxel range. However, when comparisons with the three-dimensional optical-scanned surface data were performed in individual anatomic regions, we found significantly different accuracies of the CT-based STL surface meshes produced by the different software packages. Conclusions:We found that all 4 software packages showed reasonably good meshing accuracies for clinical use. However, the range of errors inherent in the CT-image-based meshing process demands that caution should be taken in selecting and manipulating the software to avoid potential errors in specific clinical applications.

Original language	English
Pages (from-to)	2051-2055
Number of pages	5
Journal	Journal of Craniofacial Surgery
Volume	25
Issue number	6
DOIs	https://doi.org/10.1097/SCS.0000000000001139
Publication status	Published - 2014 Nov

Bibliographical note

Funding Information:
From the *Department of Oral and Maxillofacial Surgery, National Health Insurance Service, Ilsan Hospital, Goyang-si, Republic of Korea; †De-partment of Oral and Maxillofacial Surgery, College of Dentistry, Yonsei University, Seoul, Republic of Korea; ‡Department of Oral Maxillofacial Surgery, Stomatological Hospital of Guangzhou Medical College, Guangzhou, China. Received September 12, 2013. Accepted for publication June 13, 2014. Address correspondence and reprint requests to Sang-Hwy Lee, DDS, PhD, Department of Oral and Maxillofacial Surgery, College of Dentistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-752, Republic of Korea; E-mail: sanghwy@yuhs.ac Supported by the National Research Foundation of Korea grant funded by the Korean government (2012R1A1A2003829) for L.S.H. The authors report no conflicts of interest. Copyright © 2014 by Mutaz B. Habal, MD ISSN: 1049-2275 DOI: 10.1097/SCS.0000000000001139

Funding Information:
Supported by the National Research Foundation of Korea grant funded by the Korean government (2012R1A1A2003829) for L.S.H.

Publisher Copyright:
© 2014 by Mutaz B. Habal, MD.

All Science Journal Classification (ASJC) codes

Surgery
Otorhinolaryngology

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10.1097/SCS.0000000000001139

Cite this

@article{70af6163857c4ea8ab86d84b6e9b278f,

title = "Accuracy assessment of image-based surface meshing for volumetric computed tomography images in the craniofacial region",

abstract = "Three-dimensional printing and computer-Assisted surgery demand a high-precision three-dimensional mesh model created from computed tomography (CT) imaging data using an image-based meshing algorithm. We aimed to evaluate the threedimensional geometric accuracy of surface meshes produced from CT images with commercially available software packages. Methods: The CT images were acquired for 3 human dry skulls and 10 manufactured plastic skulls. Four commercially available software packages were used to produce the surface meshes in stereolithography (STL) file format. These CT-based STL surface meshes were registered and compared with three-dimensional opticalscanned reference mesh surface for evaluating the accuracy of the STL mesh produced with each software package. Results: The surface geometries produced by the CT-image-based meshing process were all relatively accurate; differences from the three-dimensional optical-scanned data were in the voxel or subvoxel range. However, when comparisons with the three-dimensional optical-scanned surface data were performed in individual anatomic regions, we found significantly different accuracies of the CT-based STL surface meshes produced by the different software packages. Conclusions:We found that all 4 software packages showed reasonably good meshing accuracies for clinical use. However, the range of errors inherent in the CT-image-based meshing process demands that caution should be taken in selecting and manipulating the software to avoid potential errors in specific clinical applications.",

author = "Kang, {Sang Hoon} and Kim, {Moon Key} and Kim, {Hak Jin} and Piao Zhengguo and Lee, {Sang Hwy}",

note = "Funding Information: From the *Department of Oral and Maxillofacial Surgery, National Health Insurance Service, Ilsan Hospital, Goyang-si, Republic of Korea; †De-partment of Oral and Maxillofacial Surgery, College of Dentistry, Yonsei University, Seoul, Republic of Korea; ‡Department of Oral Maxillofacial Surgery, Stomatological Hospital of Guangzhou Medical College, Guangzhou, China. Received September 12, 2013. Accepted for publication June 13, 2014. Address correspondence and reprint requests to Sang-Hwy Lee, DDS, PhD, Department of Oral and Maxillofacial Surgery, College of Dentistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-752, Republic of Korea; E-mail: sanghwy@yuhs.ac Supported by the National Research Foundation of Korea grant funded by the Korean government (2012R1A1A2003829) for L.S.H. The authors report no conflicts of interest. Copyright {\textcopyright} 2014 by Mutaz B. Habal, MD ISSN: 1049-2275 DOI: 10.1097/SCS.0000000000001139 Funding Information: Supported by the National Research Foundation of Korea grant funded by the Korean government (2012R1A1A2003829) for L.S.H. Publisher Copyright: {\textcopyright} 2014 by Mutaz B. Habal, MD.",

year = "2014",

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T1 - Accuracy assessment of image-based surface meshing for volumetric computed tomography images in the craniofacial region

AU - Kang, Sang Hoon

AU - Kim, Moon Key

AU - Kim, Hak Jin

AU - Zhengguo, Piao

AU - Lee, Sang Hwy

N1 - Funding Information: From the *Department of Oral and Maxillofacial Surgery, National Health Insurance Service, Ilsan Hospital, Goyang-si, Republic of Korea; †De-partment of Oral and Maxillofacial Surgery, College of Dentistry, Yonsei University, Seoul, Republic of Korea; ‡Department of Oral Maxillofacial Surgery, Stomatological Hospital of Guangzhou Medical College, Guangzhou, China. Received September 12, 2013. Accepted for publication June 13, 2014. Address correspondence and reprint requests to Sang-Hwy Lee, DDS, PhD, Department of Oral and Maxillofacial Surgery, College of Dentistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-752, Republic of Korea; E-mail: sanghwy@yuhs.ac Supported by the National Research Foundation of Korea grant funded by the Korean government (2012R1A1A2003829) for L.S.H. The authors report no conflicts of interest. Copyright © 2014 by Mutaz B. Habal, MD ISSN: 1049-2275 DOI: 10.1097/SCS.0000000000001139 Funding Information: Supported by the National Research Foundation of Korea grant funded by the Korean government (2012R1A1A2003829) for L.S.H. Publisher Copyright: © 2014 by Mutaz B. Habal, MD.

PY - 2014/11

Y1 - 2014/11

N2 - Three-dimensional printing and computer-Assisted surgery demand a high-precision three-dimensional mesh model created from computed tomography (CT) imaging data using an image-based meshing algorithm. We aimed to evaluate the threedimensional geometric accuracy of surface meshes produced from CT images with commercially available software packages. Methods: The CT images were acquired for 3 human dry skulls and 10 manufactured plastic skulls. Four commercially available software packages were used to produce the surface meshes in stereolithography (STL) file format. These CT-based STL surface meshes were registered and compared with three-dimensional opticalscanned reference mesh surface for evaluating the accuracy of the STL mesh produced with each software package. Results: The surface geometries produced by the CT-image-based meshing process were all relatively accurate; differences from the three-dimensional optical-scanned data were in the voxel or subvoxel range. However, when comparisons with the three-dimensional optical-scanned surface data were performed in individual anatomic regions, we found significantly different accuracies of the CT-based STL surface meshes produced by the different software packages. Conclusions:We found that all 4 software packages showed reasonably good meshing accuracies for clinical use. However, the range of errors inherent in the CT-image-based meshing process demands that caution should be taken in selecting and manipulating the software to avoid potential errors in specific clinical applications.

AB - Three-dimensional printing and computer-Assisted surgery demand a high-precision three-dimensional mesh model created from computed tomography (CT) imaging data using an image-based meshing algorithm. We aimed to evaluate the threedimensional geometric accuracy of surface meshes produced from CT images with commercially available software packages. Methods: The CT images were acquired for 3 human dry skulls and 10 manufactured plastic skulls. Four commercially available software packages were used to produce the surface meshes in stereolithography (STL) file format. These CT-based STL surface meshes were registered and compared with three-dimensional opticalscanned reference mesh surface for evaluating the accuracy of the STL mesh produced with each software package. Results: The surface geometries produced by the CT-image-based meshing process were all relatively accurate; differences from the three-dimensional optical-scanned data were in the voxel or subvoxel range. However, when comparisons with the three-dimensional optical-scanned surface data were performed in individual anatomic regions, we found significantly different accuracies of the CT-based STL surface meshes produced by the different software packages. Conclusions:We found that all 4 software packages showed reasonably good meshing accuracies for clinical use. However, the range of errors inherent in the CT-image-based meshing process demands that caution should be taken in selecting and manipulating the software to avoid potential errors in specific clinical applications.

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Accuracy assessment of image-based surface meshing for volumetric computed tomography images in the craniofacial region

Abstract

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