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Open Access Green as soon as Postprint is submitted to ZB.
Multi-view image reconstruction: Application to fetal ultrasound compounding.
In: (International Workshop on Preterm, Perinatal and Paediatric Image Analysis). Berlin [u.a.]: Springer, 2018. 107-116 (Lect. Notes Comput. Sc. ; 11076 LNCS)
Ultrasound (US), a standard diagnostic tool to detect fetal abnormalities, is a direction dependent imaging modality, i.e. the position of the probe highly influences the appearance of the image. View-dependent artifacts such as shadows can obstruct parts of the anatomy of interest and degrade the quality and usefulness of the image. If multiple images of the same structure are acquired from different views, view-dependent artifacts can be minimized. In this work, we propose a new US image reconstruction technique using multiple B-spline grids to enable multi-view US image compounding. The B-spline coefficients of different control point grids adapted to the geometry of the data are simultaneously optimized at every resolution level. Data points are weighted depending on their view, position and intensity. We demonstrate our method on the compounding of co-planar 2D fetal US images acquired from multiple views. Using quantitative and qualitative evaluation scores, we show that the proposed method outperforms other multi-view compounding methods.
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Publication type
Article: Conference contribution
ISSN (print) / ISBN
0302-9743
e-ISSN
1611-3349
Conference Title
International Workshop on Preterm, Perinatal and Paediatric Image Analysis
Quellenangaben
Volume: 11076 LNCS,
Pages: 107-116
Publisher
Springer
Publishing Place
Berlin [u.a.]
Non-patent literature
Publications
Institute(s)
Institute for Machine Learning in Biomed Imaging (IML)