Unsupervised segmentation and personalised FE modelling of in vivo human myocardial mechanics based on an MRI atlas

Wang, V. Y.; Hoogendoorn, Corné; Engelbrecht, Gerhard; Frangi, Alejandro F.; Young, Alistair A.; Hunter, Peter; Nash, Martyn P.

doi:10.1109/isbi.2012.6235819

Cited by 2 publications

(2 citation statements)

References 11 publications

(14 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The applications of cardiac bilinear shape models have already been demonstrated in image segmentation [18] and motion analysis [84], [85]. In earlier works we have also demonstrated pipelines towards electrophysiological [86] and mechanical simulations [87] from surface-based cardiac segmentations. Figures 7 and 8 show the first two modes of variation as mean plus and minus one and a half and three standard deviations of both the full heart and the left ventricular endocardium, of the traditional PCA-based shape model.…”

Section: B Statistical Modelingmentioning

confidence: 99%

A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT

Hoogendoorn

Duchateau

Sánchez‐Quintana

et al. 2013

IEEE Trans. Med. Imaging

Self Cite

View full text Add to dashboard Cite

Atlases and statistical models play important roles in the personalization and simulation of cardiac physiology. For the study of the heart, however, the construction of comprehensive atlases and spatio-temporal models is faced with a number of challenges, in particular the need to handle large and highly variable image datasets, the multi-region nature of the heart, and the presence of complex as well as small cardiovascular structures. In this paper, we present a detailed atlas and spatio-temporal statistical model of the human heart based on a large population of 3D+time multi-slice computed tomography sequences, and the framework for its construction. It uses spatial normalization based on nonrigid image registration to synthesize a population mean image and establish the spatial relationships between the mean and the subjects in the population. Temporal image registration is then applied to resolve each subject-specific cardiac motion and the resulting transformations are used to warp a surface mesh representation of the atlas to fit the images of the remaining cardiac phases in each subject. Subsequently, we demonstrate the construction of a spatio-temporal statistical model of shape such that the inter-subject and dynamic sources of variation are suitably separated. The framework is applied to a 3D+time data set of 138 subjects. The data is drawn from a variety of pathologies, which benefits its generalization to new subjects and physiological studies. The obtained level of detail and the extendability of the atlas present an advantage over most cardiac models published previously.

show abstract

Section: B Statistical Modelingmentioning

confidence: 99%

A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT

Hoogendoorn

Duchateau

Sánchez‐Quintana

et al. 2013

IEEE Trans. Med. Imaging

Self Cite

View full text Add to dashboard Cite

show abstract

“… 14 – 16 State-of-the-art electrophysiology models now form a well-established area of research and development, 17 , 18 and coupled electromechanical models are also progressing quickly, even though they may not yet have reached quite the same relative degree of maturity and/or accessibility as those focused on electrophysiology alone. 19 – 22 For a recent review of computational modelling of the heart, see Trayanova. 23 …”

Section: Introductionmentioning

confidence: 99%

Three-dimensional histology: tools and application to quantitative assessment of cell-type distribution in rabbit heart

et al. 2014

View full text Add to dashboard Cite

AimsCardiac histo-anatomical organization is a major determinant of function. Changes in tissue structure are a relevant factor in normal and disease development, and form targets of therapeutic interventions. The purpose of this study was to test tools aimed to allow quantitative assessment of cell-type distribution from large histology and magnetic resonance imaging- (MRI) based datasets.Methods and resultsRabbit heart fixation during cardioplegic arrest and MRI were followed by serial sectioning of the whole heart and light-microscopic imaging of trichrome-stained tissue. Segmentation techniques developed specifically for this project were applied to segment myocardial tissue in the MRI and histology datasets. In addition, histology slices were segmented into myocytes, connective tissue, and undefined. A bounding surface, containing the whole heart, was established for both MRI and histology. Volumes contained in the bounding surface (called ‘anatomical volume’), as well as that identified as containing any of the above tissue categories (called ‘morphological volume’), were calculated. The anatomical volume was 7.8 cm3 in MRI, and this reduced to 4.9 cm3 after histological processing, representing an ‘anatomical’ shrinkage by 37.2%. The morphological volume decreased by 48% between MRI and histology, highlighting the presence of additional tissue-level shrinkage (e.g. an increase in interstitial cleft space). The ratio of pixels classified as containing myocytes to pixels identified as non-myocytes was roughly 6:1 (61.6 vs. 9.8%; the remaining fraction of 28.6% was ‘undefined’).ConclusionQualitative and quantitative differentiation between myocytes and connective tissue, using state-of-the-art high-resolution serial histology techniques, allows identification of cell-type distribution in whole-heart datasets. Comparison with MRI illustrates a pronounced reduction in anatomical and morphological volumes during histology processing.

show abstract

Unsupervised segmentation and personalised FE modelling of in vivo human myocardial mechanics based on an MRI atlas

Cited by 2 publications

References 11 publications

A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT

A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT

Three-dimensional histology: tools and application to quantitative assessment of cell-type distribution in rabbit heart

Contact Info

Product

Resources

About