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| DOI | 10.4067/S0717-95022019000301016 | ||||||
| Año | 2019 | ||||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
To allow students and surgeons to learn the sites for botulinum toxin injection, new types of educational images are needed because MRI, CT, and sectioned images are inadequate. This article describes browsing software that displays face peeled images that allow layers along the curved surface of the face to be peeled gradually in even depths across the surface. Two volume models of the head were reconstructed from sectioned images and segmented images of Visible Korean, respectively. These volume models were peeled serially at a thickness of 0.2 mm along the curved surface of the facial skin to construct the peeled images and peeled segmented images. All of the peeled images were marked with botulinum toxin injection sites, facial creases and wrinkles, and fat compartments. All peeled images and the text information were entered into browsing software. The browsing software shows 12 botulinum toxin injection sites on all peeled images of the anterior and lateral views. Further, the software shows 23 anatomic landmarks, 13 facial creases and wrinkles, and 7 face fat compartments. When a user points at any structure on the peeled images, the name of the structure appears. Our software featuring the peeled images will be particularly effective for helping medical students to quickly and easily learn the accurate facial anatomy for botulinum toxin injection sites. It will also be useful for explaining plastic surgery procedures to patients and studying the anatomic structure of the human face.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Park, Jin Seo | Mujer |
Dongguk Univ - Corea del Sur
Dongguk University - Corea del Sur Dongguk University, Seoul - Corea del Sur |
| 2 | Shin, Hea Kyeong | - |
Dongguk Univ - Corea del Sur
Dongguk University - Corea del Sur Dongguk University, Seoul - Corea del Sur |
| 3 | Shin, Byeong Seok | - |
Inha Univ - Corea del Sur
Inha University - Corea del Sur Inha University, Incheon - Corea del Sur |
| 4 | Kwon, Koojoo | - |
Baewha Womans Univ - Corea del Sur
Baewha Woman’s University - Corea del Sur Baewha Women's University - Corea del Sur |
| Fuente |
|---|
| Korea Institute for Advancement of Technology |
| Korea government |
| Ministry of Trade, Industry and Energy |
| Ministry of Science and ICT, South Korea |
| Institute for Information and Communications Technology Promotion |
| Agradecimiento |
|---|
| 1 Department of Anatomy, Dongguk University School of Medicine, Gyeongju, Republic of Korea. 2 Department of Plastic and Reconstructive Surgery, Dongguk University School of Medicine, Gyeongju, Republic of Korea. 3 Department of Computer Engineering, Inha University, Incheon, Republic of Korea. 4 Department of Smart Information Technology, Baewha Woman’s University, Seoul, Republic of Korea. This research was financially supported by the Ministry of Trade, Industry and Energy (MOTIE) and Korea Institute for Advancement of Technology (KIAT) through the International Cooperative R&D program; Grant number: N0002249. This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT); Grant number: No.2017-0-018715, Development of AR-based Surgery Toolkit and Applications. |