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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mitrou, M. Agrafiotis, P. Georgopoulos, A. Sideris, A. |
| Copyright Year | 2015 |
| Description | Author affiliation: Lab. of Photogrammetry, Nat. Tech. Univ. of Athens, Athens, Greece (Mitrou, M.; Agrafiotis, P.; Georgopoulos, A.) || Maternity/Gynecological Clinic, Mitera Hosp., Marousi, Greece (Sideris, A.) |
| Abstract | Contemporary technologies have positively affected everyday medical practice for the benefit of faster and more objective diagnoses. Image and video processing techniques have added potential to this effort, but still there is a long road ahead. In this paper a specially developed video processing methodology is described which determines the fetus velocity using B-mode ultrasonic video imaging. For that purpose, a semi-automated process using advanced computer vision and image processing tools is presented and evaluated. The results are presented with a detailed statistical analysis to verify the repeatability ad reliability of the method. |
| Starting Page | 6330 |
| Ending Page | 6333 |
| File Size | 1189457 |
| Page Count | 4 |
| File Format | |
| ISSN | 1557170X |
| e-ISBN | 9781424492718 |
| DOI | 10.1109/EMBC.2015.7319840 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-25 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fetus Videos Motion measurement Ultrasonic variables measurement Ultrasonic imaging Biomedical imaging Velocity measurement |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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