<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Barbaroux H</submitter><funding>British Heart Foundation</funding><funding>NHLBI NIH HHS</funding><funding>EPSRC Centre for Doctoral Training in Smart Medical Imaging</funding><pagination>101866</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12032873</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>27(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>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.&lt;h4>Methods&lt;/h4>This pipeline is a modular tool designed for simulating cine DENSE images and evaluating strain estima</pubmed_abstract><journal>Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance</journal><pubmed_title>DENSE-SIM: A modular pipeline for the evaluation of cine displacement encoding with stimulated echoes images with sub-voxel ground-truth strain.</pubmed_title><pmcid>PMC12032873</pmcid><funding_grant_id>RG/19/1/34160</funding_grant_id><funding_grant_id>R01 HL131823</funding_grant_id><pubmed_authors>Loecher M</pubmed_authors><pubmed_authors>Brackenier Y</pubmed_authors><pubmed_authors>Neji R</pubmed_authors><pubmed_authors>Nielles-Vallespin S</pubmed_authors><pubmed_authors>Barbaroux H</pubmed_authors><pubmed_authors>Pennell DJ</pubmed_authors><pubmed_authors>Scott AD</pubmed_authors><pubmed_authors>Young AA</pubmed_authors><pubmed_authors>Kunze KP</pubmed_authors><pubmed_authors>Ennis DB</pubmed_authors></additional><is_claimable>false</is_claimable><name>DENSE-SIM: A modular pipeline for the evaluation of cine displacement encoding with stimulated echoes images with sub-voxel ground-truth strain.</name><description>&lt;h4>Background&lt;/h4>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.&lt;h4>Methods&lt;/h4>This pipeline is a modular tool designed for simulating cine DENSE images and evaluating strain estima</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Summer</publication><modification>2026-06-03T12:04:44.682Z</modification><creation>2025-07-06T03:04:01.605Z</creation></dates><accession>S-EPMC12032873</accession><cross_references><pubmed>39988298</pubmed><doi>10.1016/j.jocmr.2025.101866</doi></cross_references></HashMap>