Next Article in Journal
Lightweight Statistical and Texture Feature Approach for Breast Thermogram Analysis
Previous Article in Journal
AI Diffusion Models Generate Realistic Synthetic Dental Radiographs Using a Limited Dataset
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
J. Imaging
Volume 11
Issue 10
10.3390/jimaging11100357
jimaging-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

New Solution for Segmental Assessment of Left Ventricular Wall Thickness, Using Anatomically Accurate and Highly Reproducible Automated Cardiac MRI Software

by
Balázs Mester
*,
Kristóf Attila Farkas-Sütő
,
Júlia Magdolna Tardy
,
Kinga Grebur
,
Márton Horváth
,
Flóra Klára Gyulánczi
,
Hajnalka Vágó
,
Béla Merkely
and
Andrea Szűcs
*
Heart and Vascular Centre, Semmelweis University, 1122 Budapest, Hungary
*
Authors to whom correspondence should be addressed.
J. Imaging 2025, 11(10), 357; https://doi.org/10.3390/jimaging11100357
Submission received: 1 September 2025 / Revised: 3 October 2025 / Accepted: 9 October 2025 / Published: 11 October 2025
(This article belongs to the Section Medical Imaging)
Browse Figures
Review Reports Versions Notes

Abstract

Introduction: Changes in left ventricular (LV) wall thickness serve as important diagnostic and prognostic indicators in various cardiovascular diseases. To date, no automated software exists for the measurement of myocardial segmental wall thickness in cardiac MRI (CMR), which leads to reliance on manual caliper measurements that carry risks of inaccuracy. Aims: This paper aims to present a new automated segmental wall thickness measurement software, OptiLayer, developed to address this issue and to compare it with the conventional manual measurement method. Methods: In our pilot study, the algorithm of the OptiLayer software was tested on 50 HEALTHY individuals, and 50 excessively trabeculated noncompaction (LVET) subjects with preserved LV function, whose morphology makes it more challenging to measure left ventricular wall thickness, although often occurring with myocardial thinning. Measurements were performed by two independent investigators who assessed LV wall thicknesses in 16 segments, both manually using the Medis Suite QMass program and automatically with the new OptiLayer method, which enables high-density sampling across the distance between the epicardial and endocardial contours. Results: The results showed that the segmental wall thickness measurement values of the OptiLayer algorithm were significantly higher than those of the manual caliper. In comparisons of the HEALTHY and LVET subgroups, OptiLayer measurements demonstrated differences at several points than manual measurements. Between the investigators, manual measurements showed low intraclass correlations (ICC below 0.6 on average), while measurements with OptiLayer gave excellent agreement (ICC above 0.9 in 75% of segments). Conclusions: Our study suggests that OptiLayer, a new automated wall thickness measurement software based on high-precision anatomical segmentation, offers a faster, more accurate, and more reproducible alternative to manual measurements.
Keywords: cardiac imaging; magnetic resonance imaging; cardiomyopathies; myocardium; wall thickness; segmentation; software presentation cardiac imaging; magnetic resonance imaging; cardiomyopathies; myocardium; wall thickness; segmentation; software presentation

Share and Cite

MDPI and ACS Style

Mester, B.; Farkas-Sütő, K.A.; Tardy, J.M.; Grebur, K.; Horváth, M.; Gyulánczi, F.K.; Vágó, H.; Merkely, B.; Szűcs, A. New Solution for Segmental Assessment of Left Ventricular Wall Thickness, Using Anatomically Accurate and Highly Reproducible Automated Cardiac MRI Software. J. Imaging 2025, 11, 357. https://doi.org/10.3390/jimaging11100357

AMA Style

Mester B, Farkas-Sütő KA, Tardy JM, Grebur K, Horváth M, Gyulánczi FK, Vágó H, Merkely B, Szűcs A. New Solution for Segmental Assessment of Left Ventricular Wall Thickness, Using Anatomically Accurate and Highly Reproducible Automated Cardiac MRI Software. Journal of Imaging. 2025; 11(10):357. https://doi.org/10.3390/jimaging11100357

Chicago/Turabian Style

Mester, Balázs, Kristóf Attila Farkas-Sütő, Júlia Magdolna Tardy, Kinga Grebur, Márton Horváth, Flóra Klára Gyulánczi, Hajnalka Vágó, Béla Merkely, and Andrea Szűcs. 2025. "New Solution for Segmental Assessment of Left Ventricular Wall Thickness, Using Anatomically Accurate and Highly Reproducible Automated Cardiac MRI Software" Journal of Imaging 11, no. 10: 357. https://doi.org/10.3390/jimaging11100357

APA Style

Mester, B., Farkas-Sütő, K. A., Tardy, J. M., Grebur, K., Horváth, M., Gyulánczi, F. K., Vágó, H., Merkely, B., & Szűcs, A. (2025). New Solution for Segmental Assessment of Left Ventricular Wall Thickness, Using Anatomically Accurate and Highly Reproducible Automated Cardiac MRI Software. Journal of Imaging, 11(10), 357. https://doi.org/10.3390/jimaging11100357

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop