Model based cardiac motion tracking using velocity encoded magnetic resonance imaging

Summary, in English

This paper deals with model based regularization of velocity encoded cardiac magnetic resonance images (MRI). We extend upon an existing spatiotemporal model of cardiac kinematics by considering data certainty and regularity of the model in order to improve its performance. The method was evaluated using a computer simulated phantom and using in vivo gridtag MRI as gold standard. We show, both quantitatively and qualitatively, that our modified model performs better than the original one.

• Författare: Erik Hedström; Håkan Arheden; Gunnar Sparr; Erik Bergvall
• Avdelning/ar: Klinisk fysiologi, Lund; Matematik LTH
• Publiceringsår: 2007
• Språk: Engelska
• Sidor: 82-91
• Publikation/Tidskrift/Serie: Image Analysis (Lecture Notes in Computer Science)
• Volym: 4522
• Länkar: http://dx.doi.org/10.1007/978-3-540-73040-8_9
• Dokumenttyp: Konferensbidrag
• Förlag: Springer
• Ämne: Cardiac and Cardiovascular Systems; Respiratory Medicine and Allergy
• Nyckelord: cardiac kinematics; velocity encoded magnetic resonance imaging; in vivo grid tag; computer simulated phantom; spatiotemporal model; MRI; model based cardiac motion tracking
• Conference name: 15th Scandinavian Image Analysis Conference
• Conference date: 2007-06-10 - 2007-06-14
• Conference place: Aalborg, Denmark
• Status: Published
• ISBN/ISSN/Övrigt: ISSN: 1611-3349; ISSN: 0302-9743; ISBN: 978-3-540-73039-2