Three-dimensional soft tissue landmark detection with marching cube algorithm
Abstract Current method of analyzing three-dimensional soft tissue data, especially in the frontal view, is subjective and has poor reliability. To overcome this limitation, the present study aimed to introduce a new method of analyzing soft tissue data reconstructed by marching cube algorithm (Prog...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-28792-w |
| _version_ | 1797864939631673344 |
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| author | Yoonjung Lee Ji-Min Lee Sun-Hyung Park Yoon Jeong Choi Sung-Hwan Choi Jae Joon Hwang Hyung-Seog Yu |
| author_facet | Yoonjung Lee Ji-Min Lee Sun-Hyung Park Yoon Jeong Choi Sung-Hwan Choi Jae Joon Hwang Hyung-Seog Yu |
| author_sort | Yoonjung Lee |
| collection | DOAJ |
| description | Abstract Current method of analyzing three-dimensional soft tissue data, especially in the frontal view, is subjective and has poor reliability. To overcome this limitation, the present study aimed to introduce a new method of analyzing soft tissue data reconstructed by marching cube algorithm (Program S) and compare it with a commercially available program (Program A). Cone-beam computed tomography images of 42 patients were included. Two orthodontists digitized six landmarks (pronasale, columella, upper and lower lip, right and left cheek) twice using both programs in two-week intervals, and the reliability was compared. Furthermore, computer-calculated point (CC point) was developed to evaluate whether human error could be reduced. The results showed that the intra- and inter-examiner reliability of Program S (99.7–100% and 99.9–100%, respectively) were higher than that of Program A (64.0–99.9% and 76.1–99.9%, respectively). Moreover, the inter-examiner difference of coordinate values and distances for all six landmarks in Program S was lower than Program A. Lastly, CC point was provided as a consistent single point. Therefore, it was validated that this new methodology can increase the intra- and inter-examiner reliability of soft tissue landmark digitation and CC point can be used as a landmark to reduce human error. |
| first_indexed | 2024-04-09T23:00:03Z |
| format | Article |
| id | doaj.art-ea4795521b924490a055bf0d94a45c5c |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T23:00:03Z |
| publishDate | 2023-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-ea4795521b924490a055bf0d94a45c5c2023-03-22T11:03:31ZengNature PortfolioScientific Reports2045-23222023-01-0113111210.1038/s41598-023-28792-wThree-dimensional soft tissue landmark detection with marching cube algorithmYoonjung Lee0Ji-Min Lee1Sun-Hyung Park2Yoon Jeong Choi3Sung-Hwan Choi4Jae Joon Hwang5Hyung-Seog Yu6Department of Orthodontics, Yonsei University College of DentistryDepartment of Orthodontics, Yonsei University College of DentistryDepartment of Orthodontics, Yonsei University College of DentistryDepartment of Orthodontics, Yonsei University College of DentistryDepartment of Orthodontics, Yonsei University College of DentistryDepartment of Oral and Maxillofacial Radiology, School of Dentistry, Dental Research Institute, Pusan National UniversityDepartment of Orthodontics, Yonsei University College of DentistryAbstract Current method of analyzing three-dimensional soft tissue data, especially in the frontal view, is subjective and has poor reliability. To overcome this limitation, the present study aimed to introduce a new method of analyzing soft tissue data reconstructed by marching cube algorithm (Program S) and compare it with a commercially available program (Program A). Cone-beam computed tomography images of 42 patients were included. Two orthodontists digitized six landmarks (pronasale, columella, upper and lower lip, right and left cheek) twice using both programs in two-week intervals, and the reliability was compared. Furthermore, computer-calculated point (CC point) was developed to evaluate whether human error could be reduced. The results showed that the intra- and inter-examiner reliability of Program S (99.7–100% and 99.9–100%, respectively) were higher than that of Program A (64.0–99.9% and 76.1–99.9%, respectively). Moreover, the inter-examiner difference of coordinate values and distances for all six landmarks in Program S was lower than Program A. Lastly, CC point was provided as a consistent single point. Therefore, it was validated that this new methodology can increase the intra- and inter-examiner reliability of soft tissue landmark digitation and CC point can be used as a landmark to reduce human error.https://doi.org/10.1038/s41598-023-28792-w |
| spellingShingle | Yoonjung Lee Ji-Min Lee Sun-Hyung Park Yoon Jeong Choi Sung-Hwan Choi Jae Joon Hwang Hyung-Seog Yu Three-dimensional soft tissue landmark detection with marching cube algorithm Scientific Reports |
| title | Three-dimensional soft tissue landmark detection with marching cube algorithm |
| title_full | Three-dimensional soft tissue landmark detection with marching cube algorithm |
| title_fullStr | Three-dimensional soft tissue landmark detection with marching cube algorithm |
| title_full_unstemmed | Three-dimensional soft tissue landmark detection with marching cube algorithm |
| title_short | Three-dimensional soft tissue landmark detection with marching cube algorithm |
| title_sort | three dimensional soft tissue landmark detection with marching cube algorithm |
| url | https://doi.org/10.1038/s41598-023-28792-w |
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