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Automated Measureme...
Automated Measurements of Mitral and Tricuspid Annular Dimensions in Cardiovascular Magnetic Resonance
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- Gonzales, Ricardo A. (author)
- University of Oxford
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- Lamy, Jerome (author)
- Yale University
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- Seemann, Felicia (author)
- Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine
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- Heiberg, Einar (author)
- Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,LTH profilområde: Teknik för hälsa,LTH profilområden,Lunds Tekniska Högskola,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,LTH Profile Area: Engineering Health,LTH Profile areas,Faculty of Engineering, LTH
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- Peters, Dana C. (author)
- Yale University
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(creator_code:org_t)
- 2022
- 2022
- English.
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In: ISBI 2022 - Proceedings : 2022 IEEE International Symposium on Biomedical Imaging - 2022 IEEE International Symposium on Biomedical Imaging. - 1945-7928 .- 1945-8452. - 9781665429238 ; 2022-March
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http://dx.doi.org/10...
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Keyword
- annular dimension
- automated dimension measurement
- Cardiovascular magnetic resonance
- mi-tral valve
- tricuspid valve
Publication and Content Type
- kon (subject category)
- ref (subject category)
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