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Estimating blood flow based on 2D angiographic image sequences
KTH, School of Computer Science and Communication (CSC), Centres, Centre for High Performance Computing, PDC.
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2012 (English)In: Bildverarbeitung für die Medizin 2012 : Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 18. bis 20. März 2012 in Berlin, Springer-Verlag New York, 2012, 380-385 p.Conference paper, Published paper (Refereed)
Abstract [en]

The assessment of hemodynamics based on medical image data represents an attractive means in order to enhance diagnostic imaging capabilities, to evaluate clinical outcomes of therapies focusing on the patient's vascular system, as well as to guide minimally invasive interventional procedures in the catheter lab. We present a first evaluation along with comparisons of algorithmic approaches towards the quantitative determination of blood flow based on 2D angiography image data.

Place, publisher, year, edition, pages
Springer-Verlag New York, 2012. 380-385 p.
Series
Informatik aktuell, ISSN 1431-472X
Keyword [en]
Algorithmic approach, Angiographic images, Angiography images, Clinical outcome, Diagnostic imaging, Interventional procedures, Minimally invasive, Quantitative determinations
National Category
Other Medical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-144801Scopus ID: 2-s2.0-84884484481OAI: oai:DiVA.org:kth-144801DiVA: diva2:714801
Conference
Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2012 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2012; Berlin; Germany; 18 March 2012 through 20 March 2012
Note

QC 20140429

Available from: 2014-04-29 Created: 2014-04-29 Last updated: 2017-04-28Bibliographically approved

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Citation style
  • apa
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  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • nn-NB
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  • Other locale
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Output format
  • html
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  • asciidoc
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