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

Gonzales, Ricardo A.; Lamy, Jerome; Seemann, Felicia; Heiberg, Einar; Peters, Dana C.

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

Mark

Gonzales, Ricardo A. ^LU

; 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: https://lup.lub.lu.se/record/49dff344-8376-4ee3-a66b-9a7f702024ce

author

Gonzales, Ricardo A. ^LU

; Lamy, Jerome ; Seemann, Felicia ^LU ; Heiberg, Einar ^LU

and Peters, Dana C.

organization

publishing date

2022

type

Chapter in Book/Report/Conference proceeding

publication status

published

subject

Medical Imaging

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

1945-7928

1945-8452

ISBN

9781665429238

DOI

10.1109/ISBI52829.2022.9761595

language

English

LU publication?

yes

additional info

id

49dff344-8376-4ee3-a66b-9a7f702024ce

date added to LUP

2022-08-15 12:52:46

date last changed

2025-04-19 00:10:44

@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         = {{1945-7928}},
  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}},
}

Lund University Publications

LUND UNIVERSITY LIBRARIES

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