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Right ventricular strain analysis from three-dimensional echocardiography by using temporally diffeomorphic motion estimation

Zhijun Zhang, Meihua Zhu, Muhammad Ashraf, Craig S. Broberg, David J. Sahn, Xubo Song
2014 Medical Physics (Lancaster)  
The motion of the right ventricular free wall is studied by using segmental strains.  ...  The closeness of the segmental strain of their method to those from MRI shows the feasibility of their method in the study of RV function by using 3D echocardiography.  ...  DISCUSSION We have proposed a temporally diffeomorphic motion estimation method and applied it to strain analysis of 3D echocardiography sequences of different steady states.  ... 
doi:10.1118/1.4901253 pmid:25471981 pmcid:PMC4241709 fatcat:qugtz474rbafpdtmzasf5lkxgy

Non-invasive Activation Times Estimation Using 3D Echocardiography [chapter]

Adityo Prakosa, Maxime Sermesant, Hervé Delingette, Eric Saloux, Pascal Allain, Pascal Cathier, Patrick Etyngier, Nicolas Villain, Nicholas Ayache
2010 Lecture Notes in Computer Science  
This knowledge is of high interest since it would help estimating the cardiac electrophysiology function from the analysis of widely available cardiac images, such as 3D echocardiography.  ...  estimated using incompressible diffeomorphic demons for non-rigid registration.  ...  Fig. 1 . 1 3D echocardiography myocardium motion estimation.  ... 
doi:10.1007/978-3-642-15835-3_22 fatcat:bwjibmu2jnaehou43ejbytijke

Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography

Mathieu De Craene, Gemma Piella, Oscar Camara, Nicolas Duchateau, Etelvino Silva, Adelina Doltra, Jan D'hooge, Josep Brugada, Marta Sitges, Alejandro F. Frangi
2012 Medical Image Analysis  
Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography. Medical Image Analysis, Elsevier, 2012, 16 (2), pp.  ...  Abstract This paper presents a new registration algorithm, called Temporal Diffeomorphic Free Form Deformation (TDFFD), and its application to motion and strain quantification from a sequence of 3D ultrasound  ...  Conclusion We have described a new temporal diffeomorphic registration method called TDFFD and applied it to recover motion and strain from 3D echocardiography images.  ... 
doi:10.1016/j.media.2011.10.006 pmid:22137545 fatcat:4tfs6t6n4jhzng3u3xahd2twka

Quantification of local changes in myocardial motion by diffeomorphic registration via currents: Application to paced hypertrophic obstructive cardiomyopathy in 2D echocardiographic sequences

Nicolas Duchateau, Geneviève Giraldeau, Luigi Gabrielli, Juan Fernández-Armenta, Diego Penela, Reinder Evertz, Lluis Mont, Josep Brugada, Antonio Berruezo, Marta Sitges, Bart H. Bijnens
2015 Medical Image Analysis  
Non-rigid registration (diffeomorphic registration via currents) is used to match pairs of patterns, and pattern changes are inferred from the registration output.  ...  Our paper provides a new perspective to the longitudinal analysis of myocardial motion.  ...  Proposed approach Based on this, we propose to estimate myocardial motion pattern changes by diffeomorphic non-rigid registration.  ... 
doi:10.1016/j.media.2014.10.005 pmid:25461338 fatcat:jky4r7knrvenvef5cw7dcg6y5e

A New Semi-automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences

Deepa Krishnaswamy, Abhilash R. Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
2021 Cardiovascular Engineering and Technology  
We propose a semi-automated segmentation algorithm for the delineation of the left ventricle in temporal 3D echocardiography sequences.  ...  Echocardiography is commonly used as a non-invasive imaging tool in clinical practice for the assessment of cardiac function.  ...  The estimated affine motion can strengthen the temporal information of the segmentations between each of the frames.  ... 
doi:10.1007/s13239-021-00547-6 pmid:34046844 fatcat:gysaonxbozdgxjmxvqljgw6eau

Artificial Intelligence in Cardiac Imaging With Statistical Atlases of Cardiac Anatomy

Kathleen Gilbert, Charlène Mauger, Alistair A. Young, Avan Suinesiaputra
2020 Frontiers in Cardiovascular Medicine  
Powered by supervised or unsupervised machine learning algorithms, statistical cardiac shape analysis can be used to automatically identify and quantify the severity of heart diseases, to provide morphometric  ...  In many cardiovascular pathologies, the shape and motion of the heart provide important clues to understanding the mechanisms of the disease and how it progresses over time.  ...  (10) used a biventricular shape model to study right and left ventricular interactions in the UK Biobank study.  ... 
doi:10.3389/fcvm.2020.00102 pmid:32695795 pmcid:PMC7338378 fatcat:qvwkrlc6cfbbrowrwyob5x6vnu

An Incompressible Log-Domain Demons Algorithm for Tracking Heart Tissue [chapter]

Kristin McLeod, Adityo Prakosa, Tommaso Mansi, Maxime Sermesant, Xavier Pennec
2012 Lecture Notes in Computer Science  
We are able to obtain reasonable results for each modality and good results for echocardiography images with respect to quality of the registration and computed strain curves.  ...  We describe an application of the previously proposed iLogDemons algorithm to the STACOM motion-tracking challenge data.  ...  Acknowledgements: This project was partially funded by the Care4Me ITEA2 project.  ... 
doi:10.1007/978-3-642-28326-0_6 fatcat:f7xpxeom6vgfxpdvyc75sfgyme

A novel methodology for personalized simulations of ventricular hemodynamics from noninvasive imaging data

A. de Vecchi, A. Gomez, K. Pushparajah, T. Schaeffter, J.M. Simpson, R. Razavi, G.P. Penney, N.P. Smith, D.A. Nordsletten
2016 Computerized Medical Imaging and Graphics  
To address this problem, we propose a new methodology for modeling patient-specific hemodynamics based exclusively on noninvasive velocity and anatomical data from 3D+t echocardiography or Magnetic Resonance  ...  Numerical simulations of the cardiac cycle are driven by the image-derived velocities prescribed at the model boundaries using a penalty method that recovers a physical solution by minimizing the energy  ...  Acknowledgements The authors would like to acknowledge funding from the British Heart Foundation (NH/11/5/29058).  ... 
doi:10.1016/j.compmedimag.2016.03.004 pmid:27108088 pmcid:PMC4907311 fatcat:5pjhgeoqfbaxpccs3d4brq5i4m

DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics

Manuel A. Morales, Maaike van den Boomen, Christopher Nguyen, Jayashree Kalpathy-Cramer, Bruce R. Rosen, Collin M. Stultz, David Izquierdo-Garcia, Ciprian Catana
2021 Frontiers in Cardiovascular Medicine  
Myocardial strain analysis from cinematic magnetic resonance imaging (cine-MRI) data provides a more thorough characterization of cardiac mechanics than volumetric parameters such as left-ventricular ejection  ...  fraction, but sources of variation including segmentation and motion estimation have limited its wider clinical use.  ...  Some design variations were exclusive to estimation of motion from 3D cine-MRI frames.  ... 
doi:10.3389/fcvm.2021.730316 pmid:34540923 pmcid:PMC8446607 fatcat:6k4juut2snbj5ghr7qjqk5hzka

Strain measurement in the left ventricle during systole with deformable image registration

Nikhil S. Phatak, Steve A. Maas, Alexander I. Veress, Nathan A. Pack, Edward V.R. Di Bella, Jeffrey A. Weiss
2009 Medical Image Analysis  
The objective of this study was to validate a deformable image registration technique, termed Hyperelastic Warping, for left ventricular strain measurement during systole using cine-gated, nontagged MR  ...  images with strains measured from tagged MRI.  ...  Acknowledgements Financial support from NIH #R01-EB000121 and NSF #BES-0134503 is gratefully acknowledged.  ... 
doi:10.1016/j.media.2008.07.004 pmid:18948056 pmcid:PMC2873141 fatcat:wvepabjg6vci7p5lifurt42al4

Strain Measurement in the Left Ventricle During Systole with Deformable Image Registration [chapter]

Nikhil S. Phatak, Steve A. Maas, Alexander I. Veress, Nathan A. Pack, Edward V. R. Di Bella, Jeffrey A. Weiss
2007 Lecture Notes in Computer Science  
The objective of this study was to validate a deformable image registration technique, termed Hyperelastic Warping, for left ventricular strain measurement during systole using cine-gated, nontagged MR  ...  images with strains measured from tagged MRI.  ...  Acknowledgements Financial support from NIH #R01-EB000121 and NSF #BES-0134503 is gratefully acknowledged.  ... 
doi:10.1007/978-3-540-72907-5_4 fatcat:pgqhgvtp35gobfzlucsmjhh6hi

A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities

Nicolas Duchateau, Mathieu De Craene, Gemma Piella, Etelvino Silva, Adelina Doltra, Marta Sitges, Bart H. Bijnens, Alejandro F. Frangi
2011 Medical Image Analysis  
We built an atlas of normality using 2D ultrasound cardiac sequences from 21 healthy volunteers, to which we compared 14 CRT candidates with left ventricular dyssynchrony (LVDYS).  ...  In this paper, we present a new method for the automatic comparison of myocardial motion patterns and the characterization of their degree of abnormality, based on a statistical atlas of motion built from  ...  analysis, and extend it to specific 3D motion patterns currently not captured by our method, such as torsion.  ... 
doi:10.1016/j.media.2010.12.006 pmid:21315650 fatcat:gfeheaxzwndkbmz2gxdvug4wra

DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics [article]

Manuel Morales, Maaike van den Boomen, Christopher Nguyen, Jayashree Kalpathy-Cramer, Bruce Rosen, Collin Stultz, David Izquierdo-Garcia, Ciprian Catana
2021 bioRxiv   pre-print
Myocardial strain analysis from cinematic magnetic resonance imaging (cine-MRI) data could provide a more thorough characterization of cardiac mechanics than volumetric parameters such as left-ventricular  ...  Compared to landmarks manually-tracked on tagging-MRI images from 15 healthy subjects, landmark deformation using DL-based motion estimates from paired cine-MRI data resulted in an endpoint-error of 2.9  ...  ACKNOWLEDGMENT We acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. We also thank P. Jodoin (ACDC) and C.  ... 
doi:10.1101/2021.01.05.425266 fatcat:ulqkkovp4jbavm4ewwujbm6aga

Benchmarking framework for myocardial tracking and deformation algorithms: An open access database

C. Tobon-Gomez, M. De Craene, K. McLeod, L. Tautz, W. Shi, A. Hennemuth, A. Prakosa, H. Wang, G. Carr-White, S. Kapetanakis, A. Lutz, V. Rasche (+13 others)
2013 Medical Image Analysis  
Four institutions responded to the challenge by providing motion estimates for the data: Fraunhofer MEVIS (MEVIS), Inria-Asclepios project (INRIA), France.  ...  Ground-truth for motion tracking was based on 12 landmarks (4 walls at 3 ventricular levels).  ...  UPF Temporal Diffeomorphic Free Form deformation 4D FFD Vel.  ... 
doi:10.1016/j.media.2013.03.008 pmid:23708255 fatcat:jkojvmasgvh2zncssif7vz5w4u

Atlas-Based Quantification of Myocardial Motion Abnormalities: Added-Value for Understanding the Effect of Cardiac Resynchronization Therapy

Nicolas Duchateau, Adelina Doltra, Etelvino Silva, Mathieu De Craene, Gemma Piella, Maria Ángeles Castel, Lluís Mont, Josep Brugada, Alejandro F. Frangi, Marta Sitges
2012 Ultrasound in Medicine and Biology  
Statistical atlases may help improving the analysis of cardiac wall-motion abnormalities.  ...  We compared an atlas of normal septal motion built using apical 4-chamber 2D-echocardiographic sequences from healthy volunteers, to 88 patients undergoing CRT at baseline and 12 months follow-up.  ...  Acknowledgements Funding This work was supported by the Spanish Industrial and Technological Development Center (cvREMOD CEN-20091044), the Spanish Ministry of Science and Innovation, Plan E and the European  ... 
doi:10.1016/j.ultrasmedbio.2012.08.009 pmid:23069133 fatcat:yrzhj2w2knap7dbfiwevqcqflu
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