Extracting geometric features of aortic valve annulus motion from dynamic MRI for guiding interventions

Nikhil V. Navkar; Erol Yeniaras; Dipan J. Shah; Nikolaos V. Tsekos; Zhigang Deng

doi:10.1109/ISBI.2011.5872639

Extracting geometric features of aortic valve annulus motion from dynamic MRI for guiding interventions

Nikhil V. Navkar, Erol Yeniaras, Dipan J. Shah, Nikolaos V. Tsekos, Zhigang Deng

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

Transcatheter aortic valve implant (TAVI) has emerged as a prominent approach for treating aortic stenosis. Success of such implants depends upon the accurate assessment of the geometric features such as the diameter, center and orientation of the aortic valve annulus (AVA). In this paper, we present a method for extracting these geometric features from magnetic resonance images (MRI). The method is based on finding an optimal fit for a circular ring mimicking AVA in the aortic root. Moreover, the presented approach provides dynamic tracking of the AVA in CINE MR images. This approach can be used for preoperative planning of prosthetic valve implantation, as well as for the emerging MRI guided manual, or with robot-assisted, annuloplasty.

Original language	English (US)
Title of host publication	2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI'11
Pages	1302-1305
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2011.5872639
State	Published - 2011
Event	2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States Duration: Mar 30 2011 → Apr 2 2011

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Other

Other	2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Country/Territory	United States
City	Chicago, IL
Period	3/30/11 → 4/2/11

Keywords

Aortic Valve Annulus
Magnetic Resonance Imaging
Robot-Assisted Cardiac Surgery

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

Access to Document

10.1109/ISBI.2011.5872639

Cite this

Navkar, N. V., Yeniaras, E., Shah, D. J., Tsekos, N. V., & Deng, Z. (2011). Extracting geometric features of aortic valve annulus motion from dynamic MRI for guiding interventions. In 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 (pp. 1302-1305). Article 5872639 (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2011.5872639

Extracting geometric features of aortic valve annulus motion from dynamic MRI for guiding interventions. / Navkar, Nikhil V.; Yeniaras, Erol; Shah, Dipan J. et al.
2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. 2011. p. 1302-1305 5872639 (Proceedings - International Symposium on Biomedical Imaging).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Navkar, NV, Yeniaras, E, Shah, DJ, Tsekos, NV & Deng, Z 2011, Extracting geometric features of aortic valve annulus motion from dynamic MRI for guiding interventions. in 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11., 5872639, Proceedings - International Symposium on Biomedical Imaging, pp. 1302-1305, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11, Chicago, IL, United States, 3/30/11. https://doi.org/10.1109/ISBI.2011.5872639

Navkar NV, Yeniaras E, Shah DJ, Tsekos NV, Deng Z. Extracting geometric features of aortic valve annulus motion from dynamic MRI for guiding interventions. In 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. 2011. p. 1302-1305. 5872639. (Proceedings - International Symposium on Biomedical Imaging). doi: 10.1109/ISBI.2011.5872639

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abstract = "Transcatheter aortic valve implant (TAVI) has emerged as a prominent approach for treating aortic stenosis. Success of such implants depends upon the accurate assessment of the geometric features such as the diameter, center and orientation of the aortic valve annulus (AVA). In this paper, we present a method for extracting these geometric features from magnetic resonance images (MRI). The method is based on finding an optimal fit for a circular ring mimicking AVA in the aortic root. Moreover, the presented approach provides dynamic tracking of the AVA in CINE MR images. This approach can be used for preoperative planning of prosthetic valve implantation, as well as for the emerging MRI guided manual, or with robot-assisted, annuloplasty.",

keywords = "Aortic Valve Annulus, Magnetic Resonance Imaging, Robot-Assisted Cardiac Surgery",

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Extracting geometric features of aortic valve annulus motion from dynamic MRI for guiding interventions

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