Statistical Analysis of the Human Cardiac Fiber Architecture from DT-MRI

Lombaert, Hervé; Peyrat, Jean-Marc; Croisille, Pierre; Rapacchi, Stanislas; Fanton, Laurent; Clarysse, Patrick; Delingette, Hervé; Ayache, Nicholas

doi:10.1007/978-3-642-21028-0_22

Cited by 35 publications

(34 citation statements)

References 16 publications

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“…The laminar sheets also showed a greater deviation and a greater variability in abnormal hearts than in healthy hearts. Even though the laminar sheet is known to be more variable than the fiber structure in humans [12], the difference in both populations is non negligible (deviation of the laminar sheet normal of 34.36 • in abnormal hearts compared to 15.77 • in healthy hearts). The abnormal hearts also experience a large fiber angle difference around trabeculae areas.…”

Section: Discussionmentioning

confidence: 98%

“…The atlas of diffusion tensors is constructed using the automated framework described in [12]. The method is summarized in Fig.…”

Section: Registration Of Abnormal Heartsmentioning

confidence: 99%

“…Once the transformations of all hearts toward the average cardiac shape are computed, the diffusion tensors are warped [15] to the morphological atlas. The processing of abnormal hearts is performed within the same framework [12]. Firstly, the myocardia of the abnormal hearts are segmented using a minimal user interaction.…”

Section: Registration Of Abnormal Heartsmentioning

confidence: 99%

“…structures from DT-MRI [12,13] has recently been built with 10 healthy ex vivo hearts. We register 6 ex vivo hearts classified as abnormal to the atlas of healthy hearts and analyze the angular differences between the fiber structure directions of the abnormal hearts and the ones of the average healthy heart.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Statistical Atlas of Human Cardiac Fibers: Comparison with Abnormal Hearts

Lombaert

Peyrat

Fanton

et al. 2012

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

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Abstract. Criteria of normality of the cardiac fibers are important in cardiomyopathies. In this paper, we investigate the differences in the cardiac fiber structures between 10 hearts classified as healthy and 6 hearts classified as abnormal, and determine if properties of the cardiac fiber structures can be discriminants for abnormality. We compare the variability of the fiber directions from abnormal hearts to an atlas of healthy hearts. The human atlas of the cardiac fiber structures is built with an automated framework based on symmetric Log-domain diffeomorphic demons. We study the angular variability of the different fiber structures. Our preliminary results might suggest that a higher variability of the fiber structure directions could possibly characterize abnormality of a heart.

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Section: Discussionmentioning

confidence: 98%

“…The atlas of diffusion tensors is constructed using the automated framework described in [12]. The method is summarized in Fig.…”

Section: Registration Of Abnormal Heartsmentioning

confidence: 99%

Section: Registration Of Abnormal Heartsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Statistical Atlas of Human Cardiac Fibers: Comparison with Abnormal Hearts

Lombaert

Peyrat

Fanton

et al. 2012

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

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“…The cardiac fiber structure can now be imaged with diffusion tensor magnetic resonance imaging (DT-MRI) [2,15], however the variability of the fiber structure in humans is still not well known (due to the very limited number and the value of post-mortem healthy human hearts) and is largely speculated from studies on other species (dogs [12,13,11,26,22,21,9], goats [8], and rats [3]). Recently, Lombaert et al [17,18] constructed a statistical atlas of the human cardiac fiber architecture and assessed its variability. The fiber structure is shown to be more stable than the laminar sheet structure.…”

Section: Introductionmentioning

confidence: 99%

Variability of the Human Cardiac Laminar Structure

Lombaert

Peyrat

Fanton

et al. 2012

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

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Abstract. The cardiac fiber architecture has an important role in electrophysiology, in mechanical functions of the heart, and in remodeling processes. The variability of the fibers is the focus of various studies in different species. However, the variability of the laminar sheets is still not well known especially in humans. In this paper, we present preliminary results on a quantitative study on the variability of the human cardiac laminar structure. We show that the laminar structure has a complex variability and we show the possible presence of two populations of laminar sheets. Bimodal distributions of the intersection angle of the third eigenvector of the diffusion tensor have been observed in 10 ex vivo healthy human hearts. Additional hearts will complete the study and further characterize the different populations of cardiac laminar sheets.

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Kinematic boundary conditions substantially impact in silico ventricular function

Peirlinck

Sack

Backer

et al. 2018

Numer Methods Biomed Eng

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Computational cardiac mechanical models, individualized to the patient, have the potential to elucidate the fundamentals of cardiac (patho-)physiology, enable non-invasive quantification of clinically significant metrics (eg, stiffness, active contraction, work), and anticipate the potential efficacy of therapeutic cardiovascular intervention. In a clinical setting, however, the available imaging resolution is often limited, which limits cardiac models to focus on the ventricles, without including the atria, valves, and proximal arteries and veins. In such models, the absence of surrounding structures needs to be accounted for by imposing realistic kinematic boundary conditions, which, for prognostic purposes, are preferably generic and thus non-image derived. Unfortunately, the literature on cardiac models shows no consistent approach to kinematically constrain the myocardium. The impact of different approaches (eg, fully constrained base, constrained epi-ring) on the predictive capacity of cardiac mechanical models has not been thoroughly studied. For that reason, this study first gives an overview of current approaches to kinematically constrain (bi) ventricular models. Next, we developed a patient-specific in silico biventricular model that compares well with literature and in vivo recorded strains. Alternative constraints were introduced to assess the influence of commonly used mechanical boundary conditions on both the predicted global functional behavior of the in-silico heart (cavity volumes, stroke volume, ejection fraction) and local strain distributions. Meaningful differences in global functioning were found between different kinematic anchoring strategies, which brought forward the importance of selecting appropriate boundary conditions for biventricular models that, in the near future, may inform clinical intervention. However, whilst statistically significant differences were also found in local strain distributions, these differences were minor and mostly confined to the region close to the applied boundary conditions.

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Statistical Analysis of the Human Cardiac Fiber Architecture from DT-MRI

Cited by 35 publications

References 16 publications

Statistical Atlas of Human Cardiac Fibers: Comparison with Abnormal Hearts

Statistical Atlas of Human Cardiac Fibers: Comparison with Abnormal Hearts

Variability of the Human Cardiac Laminar Structure

Kinematic boundary conditions substantially impact in silico ventricular function

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