Patient independent representation of the detailed cardiac ventricular anatomy

Paun, Bruno; Bijnens, Bart; Iles, Tinen L.; Iaizzo, Paul A.; Butakoff, Constantine

doi:10.1016/j.media.2016.07.006

Cited by 15 publications

(17 citation statements)

References 36 publications

(42 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The whole heart segmentations of aligned datasets were first obtained in Fiji (an image analysis software (Schindelin et al, 2012)) by using automatic global thresholding based on Rènyi's entropy algorithm, as it has been shown that it outperforms other entropy based thresholding methods (Sahoo et al, 1997). Subsequently, the whole hearts segmentations were imported to the Seg3D image processing software (CIBC, 2015) where their LVs were segmented similarly to the procedure described in (Paun et al, 2017). The imported whole heart segmentations were first clipped at the level of the Mitral valve annulus to remove the atria and great vessels.…”

Section: Data Preprocessingmentioning

confidence: 99%

“…The method of Paun et al (2017) allows establishing correspondence between di↵erent objects having an overall shape of a thick hemispherical shell. To do so, apart from the object itself (represented by either a surface or volumetric mesh), we also require an enclosing surface (represented by a triangulated mesh), that contains the whole object in its interior.…”

Section: Geometry Independent Representation Of a Ventriclementioning

confidence: 99%

“…The proposed methodology was used to study the developmentevolution of cardiac trabeculations in the left ventricle (LV) of mouse embryos across di↵erent gestational ages. The framework is based on the recently introduced myocardium reparameterization (Paun et al, 2017), where an individual shape-independent method for establishing point-to-point correspondence between the cardiac ventricles is proposed. Consequently, that method provides a way of subdividing the ventricles into 3D regions in a standardized way for inter-individual comparison of structural and shape properties as well as studying temporal developmentevolution.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quantification of the detailed cardiac left ventricular trabecular morphogenesis in the mouse embryo

Paun

Bijnens

Cook

et al. 2018

Medical Image Analysis

Self Cite

View full text Add to dashboard Cite

During embryogenesis, a mammalian heart develops from a simple tubular shape into a complex 4-chamber organ, going through four distinct phases: early primitive tubular heart, emergence of trabeculations, trabecular remodeling and development of the compact myocardium. In this paper we propose a framework for standardized and subject-independent 3D regional myocardial complexity analysis, applied to analysis of the development of the mouse left ventricle. We propose a standardized subdivision of the myocardium into 3D overlapping regions (in our case 361) and a novel visualization of myocardial complexity, whereupon we: 1) extend the fractal dimension, commonly applied to image slices, to 3D and 2) use volume occupied by the trabeculations in each region together with their surface area, in order to quantify myocardial complexity. The latter provides an intuitive characterization of the complexity, given that compact myocardium will tend to occupy a larger volume with little surface area while high surface area with low volume will correspond to highly trabeculated areas. Using 50 mouse embryo images at 5 different gestational ages (10 subjects per gestational age), we demonstrate how the proposed representation and complexity measures describe the development of LV myocardial complexity. The mouse embryo data was acquired using high resolution episcopic microscopy. The complexity analysis per region was carried out using: 3D fractal dimension, myocardial volume, myocardial surface area and ratio between the two. The analysis of gestational ages was performed on embryos of 14.5, 15.5, 16.5, 17.5 and 18.5 embryonic days, and demonstrated that the regional complexity of the trabeculations increases longitudinally from the base to the apex, with a maximum around the middle. The overall complexity decreases with gestational age, being most complex at 14.5. Circumferentially, at ages 14.5, 15.5 and 16.5, the trabeculations show similar complexity everywhere except for the anteroseptal and inferolateral area of the wall, where it is smaller. At 17.5 days, the regions of high complexity become more localized towards the inferoseptal and anterolateral parts of the wall. At 18.5 days, the high complexity area exhibits further localization at the inferoseptal and anterior part of the wall.

show abstract

Section: Data Preprocessingmentioning

confidence: 99%

Section: Geometry Independent Representation Of a Ventriclementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Quantification of the detailed cardiac left ventricular trabecular morphogenesis in the mouse embryo

Paun

Bijnens

Cook

et al. 2018

Medical Image Analysis

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the case of the heart, the 17 segment AHA bull's eye plot of the left ventricle (LV) has been widely used by clinicians for long time (Cerqueira et al, 2002;Soto-Iglesias et al, 2016;Paun et al, 2017). The LV's conical shape and the absence of salient sub-structures in 3D anatomies derived from medical images (e.g.…”

Section: Introductionmentioning

confidence: 99%

Fast Quasi-Conformal Regional Flattening of the Left Atrium

Nuñez‐Garcia¹,

Bernardino²,

Alarcón³

et al. 2020

IEEE Trans. Visual. Comput. Graphics

Self Cite

View full text Add to dashboard Cite

Two-dimensional representation of 3D anatomical structures is a simple and intuitive way for analysing patient information across populations and image modalities. It also allows convenient visualizations that can be included in clinical reports for a fast overview of the whole structure. While cardiac ventricles, especially the left ventricle, have an established standard representation (e.g. bull's eye plot), the 2D depiction of the left atrium (LA) is challenging due to its sub-structural complexity including the pulmonary veins (PV) and the left atrial appendage (LAA). Quasiconformal flattening techniques, successfully applied to cardiac ventricles, require additional constraints in the case of the LA to place the PV and LAA in the same geometrical 2D location for different cases. Some registrationbased methods have been proposed but 3D (or 2D) surface registration is time-consuming and prone to errors if the geometries are very different. We propose a novel atrial flattening methodology where a quasi-conformal 2D map of the LA is obtained quickly and without errors related to registration. In our approach, the LA is divided into 5 regions which are then mapped to their analogue two-dimensional regions. A dataset of 67 human left atria from magnetic resonance images (MRI) was studied to derive a population-based 2D LA template representing the averaged relative locations of the PVs and LAA. The clinical application of the proposed methodology is illustrated on different use cases including the integration of MRI and electroanatomical data.

show abstract

“…In the case of the heart, the 17 segment AHA bull's eye plot of the left ventricle (LV) has been widely used by clinicians for long time [2,15,11]. The LV's conical shape and the absence of salient sub-structures in 3D anatomies derived from medical images (e.g.…”

Section: Introductionmentioning

confidence: 99%

Standard Quasi-Conformal Flattening of the Right and Left Atria

Nuñez‐Garcia

Bernardino

Doste

et al. 2019

Functional Imaging and Modeling of the Heart

Self Cite

View full text Add to dashboard Cite

Two-dimensional standard representations of 3D anatomical structures are a simple and intuitive way for analysing patient information across populations and image modalities. They also allow convenient visualizations that can be included in clinical reports for a fast overview of the whole structure. While cardiac ventricles, especially the left ventricle, have an established standard representation (e.g. bull's eye plot), the 2D depiction of the left (LA) and right atrium (RA) remains challenging due to their sub-structural complexity. Quasi-conformal flattening techniques, successfully applied to cardiac ventricles, require additional constraints in the case of the atria to correctly place the adjacent structures, i.e. the pulmonary veins, the vena cava (VC) or the appendages. Some registration-based methods exist to flatten the LA but they can be timeconsuming and prone to errors if the geometries are very different. We propose a novel atrial flattening methodology where a quasi-conformal 2D map of both (left and right) atria is obtained quickly and without errors related to registration. In our approach the RA is mapped to a standard 2D map where the holes corresponding to superior and inferior VC are fixed within a disk. Similarly, the LA is divided into 5 regions which are then mapped to their analogous two-dimensional regions. We illustrate the application of the method to visualize atrial wall thickness measurements, and late gadolinium enhanced magnetic resonance data.

show abstract

Patient independent representation of the detailed cardiac ventricular anatomy

Cited by 15 publications

References 36 publications

Quantification of the detailed cardiac left ventricular trabecular morphogenesis in the mouse embryo

Quantification of the detailed cardiac left ventricular trabecular morphogenesis in the mouse embryo

Fast Quasi-Conformal Regional Flattening of the Left Atrium

Standard Quasi-Conformal Flattening of the Right and Left Atria

Contact Info

Product

Resources

About