| Presentation | 2012-10-29 A Study of Automatic 3D Fetal Face Detection By Locating Facial Features From 3D Ultrasound Images for Navigating FETO Surgeries Rong Xu, Jun Ohya, Bo Zhang, Yoshinobu Sato, Masakatsu G. Fujie, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | With the wide clinical application of 3D ultrasound (US) imaging, automatic location of fetal facial features from us volumes for navigating fetoscopic tracheal occlusion (FETO) surgeries becomes possible, which plays an important role in reducing surgical risk. In this paper, we propose a feature-based method to automatically detect 3D fetal face and accurately locate key facial features without any priori knowledge or training data. The candidates of the key facial features, such as the nose, eyes, nose upper bridge and upper lip are detected by analyzing the mean and Gaussian curvatures of the facial surface. Each feature is gradually identified from the candidates by a boosted cascade filtering scheme based on the spatial relations between each feature. In experiments, an identification rate of 100% is achieved by using 72 3D US images from a test database of 6 fetal faces in the frontal view and any pose within 15° from the frontal view, and the location error 3.18±0.91mm of the detected upper lip for all test data is obtained, which can be tolerated by the FETO surgery. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | 3D fetal face detection / 3D ultrasound image / face curvature / HK classification / FETO surgery |
| Paper # | MI2012-59 |
| Date of Issue |
| Conference Information | |
| Committee | MI |
|---|---|
| Conference Date | 2012/10/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Medical Imaging (MI) |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Automatic 3D Fetal Face Detection By Locating Facial Features From 3D Ultrasound Images for Navigating FETO Surgeries |
| Sub Title (in English) | |
| Keyword(1) | 3D fetal face detection |
| Keyword(2) | 3D ultrasound image |
| Keyword(3) | face curvature |
| Keyword(4) | HK classification |
| Keyword(5) | FETO surgery |
| 1st Author's Name | Rong Xu |
| 1st Author's Affiliation | Graduate School of Global Information and Telecommunication Studies, Waseda University() |
| 2nd Author's Name | Jun Ohya |
| 2nd Author's Affiliation | Graduate School of Global Information and Telecommunication Studies, Waseda University |
| 3rd Author's Name | Bo Zhang |
| 3rd Author's Affiliation | Faculty of Creative Science and Engineering, Waseda University |
| 4th Author's Name | Yoshinobu Sato |
| 4th Author's Affiliation | Graduate School of Medicine, Osaka University |
| 5th Author's Name | Masakatsu G. Fujie |
| 5th Author's Affiliation | Faculty of Creative Science and Engineering, Waseda University |
| Date | 2012-10-29 |
| Paper # | MI2012-59 |
| Volume (vol) | vol.112 |
| Number (no) | 271 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |