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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nagaoka, T. Niwa, T. Watanabe, S. |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Med., Dept. of Radiol., Tokai Univ., Isehara, Japan (Niwa, T.) || Electromagn. Compatibility Lab., Nat. Inst. of Inf. & Commun. Technol., Tokyo, Japan (Nagaoka, T.; Watanabe, S.) |
| Abstract | Recently, there has been increasing concern regarding the safety of exposure to RF electromagnetic fields in pregnant females and their fetuses. Therefore, we acquired fetal MRI images from pregnant women during the second and third trimesters of pregnancy and newly developed six fetal computational models at 20, 23, 26, 29, 32 and 33 weeks of pregnancy on the basis of the acquired images. The fetal models consist of about 20 different tissue types. These tissues were segmented by medical staffs using both manual and semiautomatic segmentation techniques from fine-resolution images acquired by 3D-ture FISP (Fast Imaging with State Precession) sequence. The works were performed under the supervision of a pediatric radiologist. The number of tissues and the spatial resolutions of the fetal models are better than those of models previously developed. This paper outlines the high-fidelity computational models of human fetuses during the second and third trimesters of pregnancy. |
| Sponsorship | IEEE Antennas Propagation Soc. |
| Starting Page | 1972 |
| Ending Page | 1973 |
| File Size | 750838 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781467321877 |
| e-ISBN | 9788890701832 |
| e-ISBN | 9788890701818 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-04-08 |
| Publisher Place | Sweden |
| Access Restriction | Subscribed |
| Rights Holder | EurAAP |
| Subject Keyword | Pregnancy Image segmentation Computational human model Biological system modeling Magnetic resonance imaging Computational modeling Blades MRI Electromagnetic dosimetry fetus Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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