Document Detail


The estimation of patient-specific cardiac diastolic functions from clinical measurements.
MedLine Citation:
PMID:  23153619     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
An unresolved issue in patients with diastolic dysfunction is that the estimation of myocardial stiffness cannot be decoupled from diastolic residual active tension (AT) because of the impaired ventricular relaxation during diastole. To address this problem, this paper presents a method for estimating diastolic mechanical parameters of the left ventricle (LV) from cine and tagged MRI measurements and LV cavity pressure recordings, separating the passive myocardial constitutive properties and diastolic residual AT. Dynamic C1-continuous meshes are automatically built from the anatomy and deformation captured from dynamic MRI sequences. Diastolic deformation is simulated using a mechanical model that combines passive and active material properties. The problem of non-uniqueness of constitutive parameter estimation using the well known Guccione law is characterized by reformulation of this law. Using this reformulated form, and by constraining the constitutive parameters to be constant across time points during diastole, we separate the effects of passive constitutive properties and the residual AT during diastolic relaxation. Finally, the method is applied to two clinical cases and one control, demonstrating that increased residual AT during diastole provides a potential novel index for delineating healthy and pathological cases.
Authors:
Jiahe Xi; Pablo Lamata; Steven Niederer; Sander Land; Wenzhe Shi; Xiahai Zhuang; Sebastien Ourselin; Simon G Duckett; Anoop K Shetty; C Aldo Rinaldi; Daniel Rueckert; Reza Razavi; Nic P Smith
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Publication Detail:
Type:  Journal Article     Date:  2012-10-16
Journal Detail:
Title:  Medical image analysis     Volume:  17     ISSN:  1361-8423     ISO Abbreviation:  Med Image Anal     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-03-18     Completed Date:  2013-09-12     Revised Date:  2014-04-15    
Medline Journal Info:
Nlm Unique ID:  9713490     Medline TA:  Med Image Anal     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  133-46     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 Elsevier B.V. All rights reserved.
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Algorithms
Elastic Modulus
Heart Ventricles / pathology*,  physiopathology*
Humans
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Magnetic Resonance Imaging, Cine / methods*
Male
Reproducibility of Results
Sensitivity and Specificity
Stroke Volume
Ventricular Dysfunction, Left / diagnosis*,  physiopathology*
Grant Support
ID/Acronym/Agency:
099973//Wellcome Trust; MR/J006742/1//Medical Research Council

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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