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Murgasova, M.K.* ; Cifor, A.* ; Napolitano, R.* ; Papageorghiou, A.* ; Quaghebeur, G.* ; Alison Noble, J.* ; Schnabel, J.A.*

Registration of 3D fetal brain US and MRI.

In: (International Conference on Medical Image Computing and Computer-Assisted Intervention). Berlin [u.a.]: Springer, 2012. 667-674 (Lect. Notes Comput. Sc. ; 7511 LNCS)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
We propose a novel method for registration of 3D fetal brain ultrasound and a reconstructed magnetic resonance fetal brain volumes. The reconstructed MR volume is first segmented using a probabilistic atlas and an ultrasound-like image volume is simulated from the segmentation of the MR image. This ultrasound-like image volume is then affinely aligned with real ultrasound volumes of 27 fetal brains using a robust block-matching approach which can deal with intensity artefacts and missing features in ultrasound images. We show that this approach results in good overlap of four small structures. The average of the coaligned US images shows good correlation with anatomy of the fetal brain as seen in the MR reconstruction.
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Publikationstyp Artikel: Konferenzbeitrag
Korrespondenzautor
Schlagwörter Block Matching ; Fetal 3d Ultrasound ; Fetal Ultrasound Template ; Ultrasound And Mr Registration
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
Konferenztitel International Conference on Medical Image Computing and Computer-Assisted Intervention
Zeitschrift Lecture Notes in Computer Science
Quellenangaben Band: 7511 LNCS, Heft: , Seiten: 667-674 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort Berlin [u.a.]
Nichtpatentliteratur Publikationen
Institut(e) Institute for Machine Learning in Biomed Imaging (IML)