DENSE-SIM: A modular pipeline for the evaluation of cine displacement encoding with stimulated echoes images with sub-voxel ground-truth strain

作者：Hugo Barbaroux, Michael Loecher, Yannick Brackenier, Karl Kunze, Radhouène Neji, Dudley J. Pennell, Daniel B. Ennis, Sònia Nielles‐Vallespin, Andrew D. Scott, Alistair A. Young · 发表于：Journal of Cardiovascular Magnetic Resonance · 年份：2025 · DOI：10.1016/j.jocmr.2025.101866 · 被引用次数：3 · 研究领域：Cardiovascular Function and Risk Factors、Cardiac Imaging and Diagnostics、Advanced MRI Techniques and Applications

BACKGROUND: Myocardial strain is a valuable biomarker for diagnosing and predicting cardiac conditions, offering additional prognostic information to traditional metrics such as ejection fraction. While cardiovascular magnetic resonance (CMR) methods, particularly cine displacement encoding with stimulated echoes (DENSE), are the gold standard for strain estimation, evaluation of regional strain estimation requires precise ground truth. This study introduces DENSE-SIM, an open-source simulation pipeline for generating realistic cine DENSE images with high-resolution known ground-truth strain, enabling evaluation of accuracy and precision in strain analysis pipelines. METHODS: This pipeline is a modular tool designed for simulating cine DENSE images and evaluating strain estimation performance. It comprises four main modules: 1) anatomy generation, for creating end-diastolic cardiac shapes; 2) motion generation, to produce myocardial deformations over time and Lagrangian strain; 3) DENSE image generation, using Bloch equation simulations with realistic noise, spiral sampling, and phase cycling; and 4) strain evaluation. To illustrate the pipeline, a synthetic dataset of 180 short-axis slices was created and analyzed using the commonly used DENSEanalysis tool. The impact of the spatial regularization parameter (k) in DENSEanalysis was evaluated against the ground-truth pixel strain, to particularly assess the resulting bias and variance characteristics. RESULTS: Simulated strai...