Imperial College London
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DR BERNHARD KAINZ

Faculty of Engineering, Department of Computing

Reader in Medical Image Computing
 
 
 
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Contact

 

+44 (0)20 7594 8349b.kainz Website CV

 
 
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Location

 

372Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Miao:2017:10.1109/TVCG.2017.2674938,
author = {Miao, H and Mistelbauer, G and Karimov, A and Alansary, A and Davidson, A and Lloyd, DFA and Damodaram, M and Story, L and Hutter, J and Hajnal, JV and Rutherford, M and Preim, B and Kainz, B and Groeller, ME},
doi = {10.1109/TVCG.2017.2674938},
journal = {IEEE Transactions on Visualization and Computer Graphics},
pages = {1612--1623},
title = {Placenta maps: in utero placental health assessment of the human fetus},
url = {http://dx.doi.org/10.1109/TVCG.2017.2674938},
volume = {23},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The human placenta is essential for the supply of the fetus. To monitor the fetal development, imaging data is acquired usingultrasound (US). Although it is currently the gold-standard in fetal imaging, it might not capture certain abnormalities of the placenta.Magnetic resonance imaging (MRI) is a safe alternative for the in utero examination while acquiring the fetus data in higher detail.Nevertheless, there is currently no established procedure for assessing the condition of the placenta and consequently the fetal health.Due to maternal respiration and inherent movements of the fetus during examination, a quantitative assessment of the placenta requiresfetal motion compensation, precise placenta segmentation and a standardized visualization, which are challenging tasks. Utilizingadvanced motion compensation and automatic segmentation methods to extract the highly versatile shape of the placenta, we introducea novel visualization technique that presents the fetal and maternal side of the placenta in a standardized way. Our approach enablesphysicians to explore the placenta even in utero. This establishes the basis for a comparative assessment of multiple placentas to analyzepossible pathologic arrangements and to support the research and understanding of this vital organ. Additionally, we propose athree-dimensional structure-aware surface slicing technique in order to explore relevant regions inside the placenta. Finally, to survey theapplicability of our approach, we consulted clinical experts in prenatal diagnostics and i
AU  - Miao,H
AU  - Mistelbauer,G
AU  - Karimov,A
AU  - Alansary,A
AU  - Davidson,A
AU  - Lloyd,DFA
AU  - Damodaram,M
AU  - Story,L
AU  - Hutter,J
AU  - Hajnal,JV
AU  - Rutherford,M
AU  - Preim,B
AU  - Kainz,B
AU  - Groeller,ME
DO  - 10.1109/TVCG.2017.2674938
EP  - 1623
PY  - 2017///
SN  - 1077-2626
SP  - 1612
TI  - Placenta maps: in utero placental health assessment of the human fetus
T2  - IEEE Transactions on Visualization and Computer Graphics
UR  - http://dx.doi.org/10.1109/TVCG.2017.2674938
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000400527500005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/49162
VL  - 23
ER  -
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