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Ultrasound Surface Extraction Using Radial Basis Functions
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Interaktiv Visualisering)ORCID iD: 0000-0002-5693-2830
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
2014 (English)In: Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part II / [ed] George Bebis, Springer Publishing Company, 2014, Vol. 8888, 163-172 p.Conference paper, Published paper (Refereed)
Abstract [en]

Data acquired from ultrasound examinations is of interest not only for the physician, but also for the patient. While the physician uses the ultrasound data for diagnostic purposes the patient might be more interested in beautiful images in the case of prenatal imaging. Ultrasound data is noisy by nature and visually compelling 3D renderings are not always trivial to produce. This paper presents a technique which enables extraction of a smooth surface mesh from the ultrasound data by combining previous research in ultrasound processing with research in point cloud surface reconstruction. After filtering the ultrasound data using Variational Classification we extract a set of surface points. This set of points is then used to train an Adaptive Compactly Supported Radial Basis Functions system, a technique for surface reconstruction of noisy laser scan data. The resulting technique can be used to extract surfaces with adjustable smoothness and resolution and has been tested on various ultrasound datasets.

Place, publisher, year, edition, pages
Springer Publishing Company, 2014. Vol. 8888, 163-172 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 8888
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-117764DOI: 10.1007/978-3-319-14364-4_16ISI: 000354700300016ISBN: 978-3-319-14364-4 (print)ISBN: 978-3-319-14363-7 (print)OAI: oai:DiVA.org:liu-117764DiVA: diva2:810778
Conference
International Symposium on Visual Computing
Available from: 2015-05-08 Created: 2015-05-08 Last updated: 2017-03-17Bibliographically approved

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Publisher's full texthttp://link.springer.com/chapter/10.1007%2F978-3-319-14364-4_16

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Englund, RickardRopinski, Timo

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CiteExportLink to record
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Citation style
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Language
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