Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Automated Measurements of Mitral and Tricuspid Annular Dimensions in Cardiovascular Magnetic Resonance

Gonzales, Ricardo A. LU orcid ; Lamy, Jerome ; Seemann, Felicia LU ; Heiberg, Einar LU and Peters, Dana C. (2022) 19th IEEE International Symposium on Biomedical Imaging, ISBI 2022 In Proceedings - International Symposium on Biomedical Imaging 2022-March.
Abstract

Our recent work on mitral and tricuspid valve tracking in cardiovascular magnetic resonance (CMR) imaging to obtain accurate evaluations of longitudinal myocardial valve motion (both relaxation and contraction) has enabled an automated diastolic function assessment (e') with CMR. Its time-resolved capability allows a further evaluation of the valve dynamics by providing valve dimension measurements, which are essential to define the etiologies and mechanisms of valve regurgitation. In this paper, we extended the framework to automatically measure mitral annular (MA) and tricuspid annular (TA) dimensions in CMR long-axis cines with a residual neural network backbone. The framework is able to measure MA and TA diameters with an overall... (More)

Our recent work on mitral and tricuspid valve tracking in cardiovascular magnetic resonance (CMR) imaging to obtain accurate evaluations of longitudinal myocardial valve motion (both relaxation and contraction) has enabled an automated diastolic function assessment (e') with CMR. Its time-resolved capability allows a further evaluation of the valve dynamics by providing valve dimension measurements, which are essential to define the etiologies and mechanisms of valve regurgitation. In this paper, we extended the framework to automatically measure mitral annular (MA) and tricuspid annular (TA) dimensions in CMR long-axis cines with a residual neural network backbone. The framework is able to measure MA and TA diameters with an overall excellent accuracy (mean ICC=0.92), on par with an evaluated inter-observer variability (mean ICC=0.92), and to distinguish valvular dimensions between healthy controls and patients with chronic heart failure (p<0.001). Dimension measurements may benefit patients requiring annular sizing and planning of valvular interventions.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
annular dimension, automated dimension measurement, Cardiovascular magnetic resonance, mi-tral valve, tricuspid valve
host publication
ISBI 2022 - Proceedings : 2022 IEEE International Symposium on Biomedical Imaging - 2022 IEEE International Symposium on Biomedical Imaging
series title
Proceedings - International Symposium on Biomedical Imaging
volume
2022-March
publisher
IEEE Computer Society
conference name
19th IEEE International Symposium on Biomedical Imaging, ISBI 2022
conference location
Kolkata, India
conference dates
2022-03-28 - 2022-03-31
external identifiers
  • scopus:85129581951
ISSN
1945-8452
1945-7928
ISBN
9781665429238
DOI
10.1109/ISBI52829.2022.9761595
language
English
LU publication?
yes
additional info
Funding Information: This work was supported by National Institutes of Health (R01HL144706). Publisher Copyright: © 2022 IEEE.
id
49dff344-8376-4ee3-a66b-9a7f702024ce
date added to LUP
2022-08-15 12:52:46
date last changed
2024-04-04 10:54:03
@inproceedings{49dff344-8376-4ee3-a66b-9a7f702024ce,
  abstract     = {{<p>Our recent work on mitral and tricuspid valve tracking in cardiovascular magnetic resonance (CMR) imaging to obtain accurate evaluations of longitudinal myocardial valve motion (both relaxation and contraction) has enabled an automated diastolic function assessment (e') with CMR. Its time-resolved capability allows a further evaluation of the valve dynamics by providing valve dimension measurements, which are essential to define the etiologies and mechanisms of valve regurgitation. In this paper, we extended the framework to automatically measure mitral annular (MA) and tricuspid annular (TA) dimensions in CMR long-axis cines with a residual neural network backbone. The framework is able to measure MA and TA diameters with an overall excellent accuracy (mean ICC=0.92), on par with an evaluated inter-observer variability (mean ICC=0.92), and to distinguish valvular dimensions between healthy controls and patients with chronic heart failure (p&lt;0.001). Dimension measurements may benefit patients requiring annular sizing and planning of valvular interventions.</p>}},
  author       = {{Gonzales, Ricardo A. and Lamy, Jerome and Seemann, Felicia and Heiberg, Einar and Peters, Dana C.}},
  booktitle    = {{ISBI 2022 - Proceedings : 2022 IEEE International Symposium on Biomedical Imaging}},
  isbn         = {{9781665429238}},
  issn         = {{1945-8452}},
  keywords     = {{annular dimension; automated dimension measurement; Cardiovascular magnetic resonance; mi-tral valve; tricuspid valve}},
  language     = {{eng}},
  publisher    = {{IEEE Computer Society}},
  series       = {{Proceedings - International Symposium on Biomedical Imaging}},
  title        = {{Automated Measurements of Mitral and Tricuspid Annular Dimensions in Cardiovascular Magnetic Resonance}},
  url          = {{http://dx.doi.org/10.1109/ISBI52829.2022.9761595}},
  doi          = {{10.1109/ISBI52829.2022.9761595}},
  volume       = {{2022-March}},
  year         = {{2022}},
}