TY - JOUR
T1 - Registration of 3D fetal neurosonography and MRI
AU - Kuklisova-Murgasova, Maria
AU - Cifor, Amalia
AU - Napolitano, Raffaele
AU - Papageorghiou, Aris
AU - Quaghebeur, Gerardine
AU - Rutherford, Mary A.
AU - Hajnal, Joseph V.
AU - Noble, J. Alison
AU - Schnabel, Julia A.
N1 - Funding Information:
This work was supported by the Wellcome/EPSRC Centre of Excellence in Medical Engineering – Personalised Healthcare , WT 088877/Z/09/Z . Aris Papageorghiou is supported by the Oxford Partnership Comprehensive Biomedical Research Centre with funding from the Department of Health NIHR Biomedical Research Centres funding scheme . We thank the Imaging Sciences Department, MRC Clinical Sciences Centre, Imperial College London, and the Department of Perinatal Imaging, King’s College London, for providing the fetal brain MRI. We thank the Intergrowth-21st Consortium for providing the 3D fetal brain US.
PY - 2013/12
Y1 - 2013/12
N2 - We propose a method for registration of 3D fetal brain ultrasound with a reconstructed magnetic resonance fetal brain volume. This method, for the first time, allows the alignment of models of the fetal brain built from magnetic resonance images with 3D fetal brain ultrasound, opening possibilities to develop new, prior information based image analysis methods for 3D fetal neurosonography. The reconstructed magnetic resonance volume is first segmented using a probabilistic atlas and a pseudo ultrasound image volume is simulated from the segmentation. This pseudo ultrasound image is then affinely aligned with clinical ultrasound fetal brain volumes using a robust block-matching approach that can deal with intensity artefacts and missing features in the ultrasound images. A qualitative and quantitative evaluation demonstrates good performance of the method for our application, in comparison with other tested approaches. The intensity average of 27 ultrasound images co-aligned with the pseudo ultrasound template shows good correlation with anatomy of the fetal brain as seen in the reconstructed magnetic resonance image.
AB - We propose a method for registration of 3D fetal brain ultrasound with a reconstructed magnetic resonance fetal brain volume. This method, for the first time, allows the alignment of models of the fetal brain built from magnetic resonance images with 3D fetal brain ultrasound, opening possibilities to develop new, prior information based image analysis methods for 3D fetal neurosonography. The reconstructed magnetic resonance volume is first segmented using a probabilistic atlas and a pseudo ultrasound image volume is simulated from the segmentation. This pseudo ultrasound image is then affinely aligned with clinical ultrasound fetal brain volumes using a robust block-matching approach that can deal with intensity artefacts and missing features in the ultrasound images. A qualitative and quantitative evaluation demonstrates good performance of the method for our application, in comparison with other tested approaches. The intensity average of 27 ultrasound images co-aligned with the pseudo ultrasound template shows good correlation with anatomy of the fetal brain as seen in the reconstructed magnetic resonance image.
KW - Block matching
KW - Fetal 3D ultrasound
KW - Fetal neurosonography
KW - MR ultrasound registration
UR - http://www.scopus.com/inward/record.url?scp=84882770964&partnerID=8YFLogxK
U2 - 10.1016/j.media.2013.07.004
DO - 10.1016/j.media.2013.07.004
M3 - Article
C2 - 23969169
AN - SCOPUS:84882770964
SN - 1361-8415
VL - 17
SP - 1137
EP - 1150
JO - Medical Image Analysis
JF - Medical Image Analysis
IS - 8
ER -