Evidence map›Paper›PMID 42745083›Full record

ArticleBiomechanics and modeling in mechanobiology2026

Automated cardiac strain estimation from short-axis DENSE and Cine MR images.

Mohammad Naqizadeh Jahromi, Rodrigo Menna Costa, Augusto Delavald Marques, Luigi Wellner, Ariel J Hannum, Zhan-Qiu Liu, Dazhong Wu, Daniel B Ennis, Luigi E Perotti

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Article in Biomechanics and modeling in mechanobiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Mohammad Naqizadeh JahromiDepartment of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Drive, Orlando, 32816, FL, USA. mohammad.naqizadehjahromi@ucf.edu.
Rodrigo Menna CostaDepartment of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Drive, Orlando, 32816, FL, USA.
Augusto Delavald MarquesDepartment of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Drive, Orlando, 32816, FL, USA.
Luigi WellnerDepartment of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Drive, Orlando, 32816, FL, USA.
Ariel J HannumDepartment of Radiology, Stanford University, 300 Pasteur Drive, Stanford, 94305, CA, USA.
Zhan-Qiu LiuDepartment of Radiology, Stanford University, 300 Pasteur Drive, Stanford, 94305, CA, USA.
Dazhong WuDepartment of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Drive, Orlando, 32816, FL, USA.
Daniel B EnnisDepartment of Radiology, Stanford University, 300 Pasteur Drive, Stanford, 94305, CA, USA.
Luigi E PerottiDepartment of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Drive, Orlando, 32816, FL, USA. luigi.perotti@ucf.edu.

Funding

Division of Information and Intelligent Systems 2205043
6 · The paper itself

Abstract

Cardiac strains provide significant information to evaluate cardiac performance. They can be evaluated using full field voxel-wise displacements measured, for example, using displacement encoding with stimulated echoes (DENSE) magnetic resonance imaging (MRI) or from features and textures that are measured using Cine MRI. While DENSE MRI provides a more complete description of myocardial motion, it remains challenging to acquire and its adoption is not widespread. In contrast, Cine MRI is routinely acquired, and Cine-based cardiac strains could be more easily adopted in a clinical setting. To evaluate the feasibility of automatically estimating cardiac strains from Cine MRI, we compare slice-wise circumferential, longitudinal, and radial strains obtained with three mid-ventricular models: a two-slice DENSE model, a one-slice DENSE model, and a one-slice Cine model. Strains are computed after automatic image segmentation, and the models are evaluated using a computational deforming phantom and data acquired in forty (

Indexed as

HeartMagnetic Resonance Imaging, CineStress, MechanicalAdultAutomationBiomechanical PhenomenaComputer SimulationHumansMalePhantoms, ImagingCardiac kinematicsCardiac strainsCine MRIDENSE MRInnU-Net

Identifiers

PMID42745083
PMCPMC13578063

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.