Influence of limited field-of-view on wall stress analysis in abdominal aortic aneurysms

Disseldorp, Emiel M.J. van; Hobelman, Koen H.; Petterson, Niels J.; Vosse, F.N. van de; Sambeek, Marc R.H.M. van; Lopata, R.G.P.

doi:10.1016/j.jbiomech.2016.01.020

Cited by 19 publications

(11 citation statements)

References 26 publications

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“…It can also be fulfilled by using 4D ultrasound image data processed with speckle tracking algorithms (Compas et al, 2014). However, ultrasound imaging has a limited field-of-view (van Disseldorp et al, 2016) and the transthoracic ultrasound signal may be reflected by the rib cage and the sternum (2011). The visualization of the aortic arch may be hampered by the air-filled trachea in the transesophageal echocardiography (TEE) (Jansen Klomp et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…The in vivo mesh correspondence of the abdominal aorta may be obtained using the 4D ultrasound data (Compas et al, 2014; Karatolios et al, 2013), for which speckle patterns are used. However, the 4D ultrasound imaging is not routinely used for thoracic aortic wall because of the limited field-of-view (van Disseldorp et al, 2016). The mesh correspondence can be difficult to obtain from CT and MRI.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of in vivo mechanical properties of the aortic wall: A multi-resolution direct search approach

Liu

Liang

Sun

2018

Journal of the Mechanical Behavior of Biomedical Materials

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The patient-specific biomechanical analysis of the aorta requires in vivo mechanical properties of individual patients. Existing approaches for estimating in vivo material properties often demand high computational cost and mesh correspondence of the aortic wall between different cardiac phases. In this paper, we propose a novel multi-resolution direct search (MRDS) approach for estimation of the nonlinear, anisotropic constitutive parameters of the aortic wall. Based on the finite element (FE) updating scheme, the MRDS approach consists of the following three steps: (1) representing constitutive parameters with multiple resolutions using principal component analysis (PCA), (2) building links between the discretized PCA spaces at different resolutions, and (3) searching the PCA spaces in a ‘coarse to fine’ fashion following the links. The estimation of material parameters is achieved by minimizing a node-to-surface error function, which does not need mesh correspondence. The method was validated through a numerical experiment by using the in vivo data from a patient with ascending thoracic aortic aneurysm (ATAA), the results show that the number of FE iterations was significantly reduced compared to previous methods. The approach was also applied to the in vivo CT data from an aged healthy human patient, and using the estimated material parameters, the FE-computed geometry was well matched with the image-derived geometry. This novel MRDS approach may facilitate the personalized biomechanical analysis of aortic tissues, such as the rupture risk analysis of ATAA, which requires fast feedback to clinicians.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimation of in vivo mechanical properties of the aortic wall: A multi-resolution direct search approach

Liu

Liang

Sun

2018

Journal of the Mechanical Behavior of Biomedical Materials

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“…Thereby, for wall stress analysis, the complete geometry including both shoulders needs to be available. 15 The field of view cannot be increased because of physical constraints. A workaround would be the…”

Section: Introductionmentioning

confidence: 99%

Ultrasound Based Wall Stress Analysis of Abdominal Aortic Aneurysms using Multiperspective Imaging

Disseldorp

Dronkelaar

Pluim

et al. 2020

European Journal of Vascular and Endovascular Surgery

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WHAT THIS PAPER ADDS Fusion of multiperspective 3D ultrasound (US) imaging of abdominal aortic aneurysms (AAAs) with a large longitudinal length was developed for automatic assessment of AAA geometry and patient specific wall stress analysis using biomechanical modelling. This study showed that US based geometry and wall stress results were in good agreement with CT, enabling harmless and cost efficient longitudinal studies on wall stress and AAA growth for aneurysms of all lengths and sizes. Background: Current clinical guidelines for surgical repair of abdominal aortic aneurysms (AAAs) are primarily based on maximum diameter assessment. From a biomechanical point of view, not only the diameter but also peak wall stresses will play an important role in rupture risk assessment. These methods require patient specific geometry which typically uses computed tomography (CT) or magnetic resonance imaging. Recently, wall stress analysis based on 3D ultrasound (US) has been proposed, and shows promising results. However, the major limitations in these studies were the use of manual segmentation and the limiting field of view of US. Therefore in this study, the AAA is imaged with multiperspective 3D ultrasound, merged to obtain a large field of view, and afterwards automatically segmented. Geometry and wall stress results were validated using CT imaging. Methods: Three dimensional US and CT data were available for 40 AAA patients (maximum diameter 34e61 mm). The full US based AAA geometry was determined using automatic segmentation, and when the aneurysm exceeded a single 3D volume, automatic fusion of multiple 3D US volumes was used. Wall stress analysis was performed for all AAA patients and percentile wall stresses were derived. The accuracy of the US based geometry and wall stress prediction was measured by comparison with CT data. Results: Estimated geometries derived from 3D US and CT data showed good similarity, with an overall median similarity index (SI) of 0.89 and interquartile range of 0.87e0.92, whereas the median Hausdorff distances (HD), a measure for the maximum local mismatch, was 4.6 (4.0e5.9) mm for all AAA geometries. Thereby, the wall stress results based on merged multiperspective 3D US data revealed a greater similarity to CT than single 3D US data. Conclusion: This study showed that large volume geometry assessment of AAAs using multiperspective 3D ultrasound, segmentation and fusion, and wall stress analysis is feasible in a robust and labour efficient manner.

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“…This requirement can be satisfied in in vitro experiments by tracking physical markers or tracking speckle patterns in ultrasound images 43 . CT is routinely used for imaging ascending aorta because of its large field of view 44 . However, CT images do not have distinct image texture patterns for tracking individual points on the aortic wall, and therefore the absence of diastolic-to-systolic displacement field poses a critical challenge for material parameter identification using CT data.…”

Section: Discussionmentioning

confidence: 99%

Identification of in vivo nonlinear anisotropic mechanical properties of ascending thoracic aortic aneurysm from patient-specific CT scans

Liu

Liang

Sulejmani

et al. 2019

Sci Rep

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Accurate identification of in vivo nonlinear, anisotropic mechanical properties of the aortic wall of individual patients remains to be one of the critical challenges in the field of cardiovascular biomechanics. Since only the physiologically loaded states of the aorta are given from in vivo clinical images, inverse approaches, which take into account of the unloaded configuration, are needed for in vivo material parameter identification. Existing inverse methods are computationally expensive, which take days to weeks to complete for a single patient, inhibiting fast feedback for clinicians. Moreover, the current inverse methods have only been evaluated using synthetic data. In this study, we improved our recently developed multi-resolution direct search (MRDS) approach and the computation time cost was reduced to 1~2 hours. Using the improved MRDS approach, we estimated in vivo aortic tissue elastic properties of two ascending thoracic aortic aneurysm (ATAA) patients from pre-operative gated CT scans. For comparison, corresponding surgically-resected aortic wall tissue samples were obtained and subjected to planar biaxial tests. Relatively close matches were achieved for the in vivo-identified and ex vivo-fitted stress-stretch responses. It is hoped that further development of this inverse approach can enable an accurate identification of the in vivo material parameters from in vivo image data.

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Influence of limited field-of-view on wall stress analysis in abdominal aortic aneurysms

Cited by 19 publications

References 26 publications

Estimation of in vivo mechanical properties of the aortic wall: A multi-resolution direct search approach

Estimation of in vivo mechanical properties of the aortic wall: A multi-resolution direct search approach

Ultrasound Based Wall Stress Analysis of Abdominal Aortic Aneurysms using Multiperspective Imaging

Identification of in vivo nonlinear anisotropic mechanical properties of ascending thoracic aortic aneurysm from patient-specific CT scans

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