Coverage segmentation of 3D thin structures
2015 (English)In: Image Processing Theory, Tools and Applications (IPTA), 2015 International Conference on, IEEE conference proceedings, 2015, 23-28 p.Conference paper (Refereed)Text
We present a coverage segmentation method for extracting thin structures in three-dimensional images. The proposed method is an improved extension of our coverage segmentation method for 2D thin structures. We suggest implementation that enables low memory consumption and processing time, and by that applicability of the method on real CTA data. The method needs a reliable crisp segmentation as an input and uses information from linear unmixing and the crisp segmentation to create a high-resolution crisp reconstruction of the object, which can then be used as a final result, or down-sampled to a coverage segmentation at the starting image resolution. Performed quantitative and qualitative analysis confirm excellent performance of the proposed method, both on synthetic and on real data, in particular in terms of robustness to noise.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. 23-28 p.
Medical Image Processing
Research subject Medical Technology
IdentifiersURN: urn:nbn:se:kth:diva-180467DOI: 10.1109/IPTA.2015.7367089ISI: 000380472700002ScopusID: 2-s2.0-84963900787ISBN: 978-1-4799-8636-1OAI: oai:DiVA.org:kth-180467DiVA: diva2:894116
The fifth International Conference on Image Processing Theory, Tools and Applications - IPTA 2015,10-13 Nov. 2015, Orléans, France
QC 201601152016-01-142016-01-142016-08-23Bibliographically approved