Patient-specific modeling of left ventricle mechanics

Colorado-Cervantes, J. Iván; Nardinocchi, Paola; Piras, Paolo; Sansalone, V.; Teresi, Luciano; Torromeo, Concetta; Puddu, Paolo

doi:10.1007/s10409-021-09041-0

Cited by 4 publications

(4 citation statements)

References 31 publications

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“…Thus, the PSLs in this latter are roughly oriented along the fiber direction whereas the PSLs in the endocardium show a small deviation from the horizontal plane. This pattern appears in both simulated and real data [19]. It follows that PSD orientation should not be used as clinical indicators given their invariance in control and pathological subjects.…”

Section: Discussionmentioning

confidence: 85%

“…PSD were computed by using landmark data acquired with 3D Speckle Tracking Echocardiography (3D-STE). We highlight here that we gave a landmark-wise representation of the strains which retains all the values computed with our data, as performed in [19]; there, it was suggested that the 16 sector-averages of the strains, usually adopted in many cardiological studies, are not enough for a fine assessment of deformation and motion of the LV. The first objective pursued in this study is to find strong experimental evidence of the hypothesis presented previously in earlier works [16][17][18][19] showing that PSD at the Endocardium tend to follow a circumferential direction while at the Epicardium they run obliquely and are closely oriented to the hypothesized anatomical fiber direction.…”

Section: Introductionmentioning

confidence: 88%

“…Then, the angle α p is computed with regard to the circumferential direction (dotted line). Modified from [19].…”

Section: Epi-endo Comparisonmentioning

confidence: 99%

See 2 more Smart Citations

Geometry Does Impact on the Plane Strain Directions of the Human Left Ventricle, Irrespective of Disease

Piras

Colorado-Cervantes

Nardinocchi

et al. 2022

JCDD

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The directions of primary strain lines of local deformation in Epicardial and Endocardial layers have been the subject of debate in recent years. Different methods led to different conclusions and a complete assessment of strain direction patterns in large and variable (in terms of pathology) cohorts of healthy and diseased patients is still lacking. Here, we use local deformation tensors in order to evaluate the angle of strain lines with respect to the horizontal circumferential direction in both Epi- and Endo-layers. We evaluated this on a large group of 193 subjects including 82 healthy control and 111 patients belonging to a great variety of pathological conditions. We found that Epicardial strain lines obliquely directed while those of Endocardium are almost circumferential. This result occurs irrespective of pathological condition. We propose that the geometric vinculum characterizing Endocardium and Epicardium in terms of different lever arm length and orientation of muscular fibers during contraction inescapably requires Endocardial strain lines to be circumferentially oriented and this is corroborated by experimental results. Further investigations on transmural structure of myocytes could couple results presented here in order to furnish additional experimental explanations.

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Section: Discussionmentioning

confidence: 85%

Section: Introductionmentioning

confidence: 88%

See 1 more Smart Citation

Geometry Does Impact on the Plane Strain Directions of the Human Left Ventricle, Irrespective of Disease

Piras

Colorado-Cervantes

Nardinocchi

et al. 2022

JCDD

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show abstract

“…On the other hand, the benefit of employing dilatation convolution over conventional convolution processes is the possibility of achieving more extensive receptive fields while preserving the same feature resolution and reducing the number of parameters [31]. Additionally, the model is better able to comprehend information about the whole context-for instance, the left ventricle's shape changes throughout the cardiac cycle [32]. We employed dilated convolution with varied dilation rates in the context detail module to capture multi-scale feature information in order to more precisely separate the left ventricle, with its various sizes and appearances.…”

Section: Discussionmentioning

confidence: 99%

Bi-DCNet: Bilateral Network with Dilated Convolutions for Left Ventricle Segmentation

Kumar

Song

et al. 2023

Life

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Left ventricular segmentation is a vital and necessary procedure for assessing cardiac systolic and diastolic function, while echocardiography is an indispensable diagnostic technique that enables cardiac functionality assessment. However, manually labeling the left ventricular region on echocardiography images is time consuming and leads to observer bias. Recent research has demonstrated that deep learning has the capability to employ the segmentation process automatically. However, on the downside, it still ignores the contribution of all semantic information through the segmentation process. This study proposes a deep neural network architecture based on BiSeNet, named Bi-DCNet. This model comprises a spatial path and a context path, with the former responsible for spatial feature (low-level) acquisition and the latter responsible for contextual semantic feature (high-level) exploitation. Moreover, it incorporates feature extraction through the integration of dilated convolutions to achieve a larger receptive field to capture multi-scale information. The EchoNet-Dynamic dataset was utilized to assess the proposed model, and this is the first bilateral-structured network implemented on this large clinical video dataset for accomplishing the segmentation of the left ventricle. As demonstrated by the experimental outcomes, our method obtained 0.9228 and 0.8576 in DSC and IoU, respectively, proving the structure’s effectiveness.

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The effect of residual stresses on the relation between pulse wave velocity and blood pressure in arteries

et al. 2023

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Patient-specific modeling of left ventricle mechanics

Cited by 4 publications

References 31 publications

Geometry Does Impact on the Plane Strain Directions of the Human Left Ventricle, Irrespective of Disease

Geometry Does Impact on the Plane Strain Directions of the Human Left Ventricle, Irrespective of Disease

Bi-DCNet: Bilateral Network with Dilated Convolutions for Left Ventricle Segmentation

The effect of residual stresses on the relation between pulse wave velocity and blood pressure in arteries

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