Model based cardiac motion tracking using velocity encoded magnetic resonance imaging
(2007) 15th Scandinavian Image Analysis Conference 4522. p.82-91- Abstract
- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/643230
- author
- Hedström, Erik
LU
; Arheden, Håkan LU ; Sparr, Gunnar LU and Bergvall, Erik LU
- organization
- publishing date
- 2007
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- cardiac kinematics, velocity encoded magnetic resonance imaging, in vivo grid tag, computer simulated phantom, spatiotemporal model, MRI, model based cardiac motion tracking
- host publication
- Image Analysis (Lecture Notes in Computer Science)
- volume
- 4522
- pages
- 82 - 91
- publisher
- Springer
- conference name
- 15th Scandinavian Image Analysis Conference
- conference location
- Aalborg, Denmark
- conference dates
- 2007-06-10 - 2007-06-14
- external identifiers
-
- wos:000247364000009
- scopus:38049015007
- ISSN
- 1611-3349
- 0302-9743
- ISBN
- 978-3-540-73039-2
- DOI
- 10.1007/978-3-540-73040-8_9
- language
- English
- LU publication?
- yes
- id
- f3f00627-3df1-4cac-a50a-90e6dda4dfb1 (old id 643230)
- date added to LUP
- 2016-04-01 12:26:22
- date last changed
- 2025-01-02 18:01:35
@inproceedings{f3f00627-3df1-4cac-a50a-90e6dda4dfb1, abstract = {{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.}}, author = {{Hedström, Erik and Arheden, Håkan and Sparr, Gunnar and Bergvall, Erik}}, booktitle = {{Image Analysis (Lecture Notes in Computer Science)}}, isbn = {{978-3-540-73039-2}}, issn = {{1611-3349}}, keywords = {{cardiac kinematics; velocity encoded magnetic resonance imaging; in vivo grid tag; computer simulated phantom; spatiotemporal model; MRI; model based cardiac motion tracking}}, language = {{eng}}, pages = {{82--91}}, publisher = {{Springer}}, title = {{Model based cardiac motion tracking using velocity encoded magnetic resonance imaging}}, url = {{http://dx.doi.org/10.1007/978-3-540-73040-8_9}}, doi = {{10.1007/978-3-540-73040-8_9}}, volume = {{4522}}, year = {{2007}}, }