Constrained estimation of intracranial aneurysm surface deformation using 4D-CTA

Journal article

Xie, H., Wu, H., Wang, J., Mendieta, J.B., Yu, H., Xiang, Y., Anbananthan, H., Zhang, J., Zhao, H., Zhu, Z., Huang, Q., Fang, R., Zhu, C. and Li, Z. (2024). Constrained estimation of intracranial aneurysm surface deformation using 4D-CTA. Computer Methods and Programs in Biomedicine. 244, p. 107975. https://doi.org/10.1016/j.cmpb.2023.107975
AuthorsXie, H., Wu, H., Wang, J., Mendieta, J.B., Yu, H., Xiang, Y., Anbananthan, H., Zhang, J., Zhao, H., Zhu, Z., Huang, Q., Fang, R., Zhu, C. and Li, Z.
Abstract

Background and objective
Intracranial aneurysms are relatively common life-threatening diseases, and assessing aneurysm rupture risk and identifying the associated risk factors is essential. Parameters such as the Oscillatory Shear Index, Pressure Loss Coefficient, and Wall Shear Stress are reliable indicators of intracranial aneurysm development and rupture risk, but aneurysm surface irregular pulsation has also received attention in aneurysm rupture risk assessment.

Methods
The present paper proposed a new approach to estimate aneurysm surface deformation. This method transforms the estimation of aneurysm surface deformation into a constrained optimization problem, which minimizes the error between the displacement estimated by the model and the sparse data point displacements from the four-dimensional CT angiography (4D-CTA) imaging data.

Results
The effect of the number of sparse data points on the results has been discussed in both simulation and experimental results, and it shows that the proposed method can accurately estimate the surface deformation of intracranial aneurysms when using sufficient sparse data points.

Conclusions
Due to a potential association between aneurysm rupture and surface irregular pulsation, the estimation of aneurysm surface deformation is needed. This paper proposed a method based on 4D-CTA imaging data, offering a novel solution for the estimation of intracranial aneurysm surface deformation.

Year2024
JournalComputer Methods and Programs in Biomedicine
Journal citation244, p. 107975
PublisherElsevier
ISSN1872-7565
Digital Object Identifier (DOI)https://doi.org/10.1016/j.cmpb.2023.107975
Publication dates
Print10 Dec 2023
Publication process dates
Accepted07 Dec 2023
Deposited08 Jan 2024
Publisher's version
License
File Access Level
Open
Permalink -

https://openresearch.lsbu.ac.uk/item/95z7y

Download files

Publisher's version
1-s2.0-S0169260723006417-main.pdf
License: CC BY 4.0
File access level: Open

  • 35
    total views
  • 25
    total downloads
  • 1
    views this month
  • 1
    downloads this month

Export as

Related outputs

Quantifying irregular pulsation of intracranial aneurysms using 4D-CTA
Xie, H., Yu, H., Wu, H., Wang, J., Wu, S., Zhang, J., Zhao, H., Yuan, M., Benitez Mendieta, J., Anbananthan, H., Winter, C., Zhu, C. and Li, Z. (2024). Quantifying irregular pulsation of intracranial aneurysms using 4D-CTA. Journal of Biomechanics. 174, p. 112269. https://doi.org/10.1016/j.jbiomech.2024.112269
Impact of Speckle Deformability on Digital Imaging Correlation
Wang, J., Wu, H., Zhu, Z., Xie, H., Yu, H., Huang, Q., Xiang, Y., Paritala, P. K., Mendieta, J. B., Anbananthan, H., Catano, J., Fang, R., Wang, L. and Li, Z. (2024). Impact of Speckle Deformability on Digital Imaging Correlation. IEEE Access. 12, pp. 66466 - 66477. https://doi.org/10.1109/access.2024.3398786
Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade
Paritala, P.K., Anbananthan, H., Hautaniemi, J., Smith, M., George, A., Allenby, M., Mendieta, J.B., Wang, J., Maclachlan, L., Liang, E., Prior, M., Yarlagadda, P.K.D.V., Winter, C. and Li, Z. (2023). Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade. Scientific Reports. 13, p. 219. https://doi.org/10.1038/s41598-022-27354-w
MRI-based mechanical analysis of carotid atherosclerotic plaque using a material-property-mapping approach: A material-property-mapping method for plaque stress analysis
Mendieta, J.B., Fontanarosa, D., Wang, J., Paritala. P.K., Muller, J., Lloyd, T. and Li, Z. (2023). MRI-based mechanical analysis of carotid atherosclerotic plaque using a material-property-mapping approach: A material-property-mapping method for plaque stress analysis. Computer Methods and Programs in Biomedicine. 231, p. 107417. https://doi.org/10.1016/j.cmpb.2023.107417
Impact of cyclic bending on coronary hemodynamics
Wang, J., Fang, R., Wu, H., Xiang, Y., Mendieta, J.B., Paritala, P.K., Fan, Z., Anbananthan, H., Catano, J.A.A., Raffel, O.C. and Li, Z. (2023). Impact of cyclic bending on coronary hemodynamics. Biomechanics and Modeling in Mechanobiology. 22, pp. 729-738. https://doi.org/10.1007/s10237-022-01677-z
Computer-assisted pre-operative automatic segmentation and registration tool for malunited radius osteotomy: A proof-of-concept study
Wang, J., Zietal, R., Arase, A., Couzens, G., Pivonka, P. and Fontanarosa, D. (2023). Computer-assisted pre-operative automatic segmentation and registration tool for malunited radius osteotomy: A proof-of-concept study. Results in Engineering. 19, p. 101295. https://doi.org/10.1016/j.rineng.2023.101295
Shape dependent protein‐induced stabilization of gold nanoparticles: From a protein corona perspective
Tukova, A., Nie, Y., Tavakkoli Yaraki, M., Tran, N.T., Wang, J., Rodger, A., Gu, Y. and Wang, Y. (2023). Shape dependent protein‐induced stabilization of gold nanoparticles: From a protein corona perspective. Aggregate. 4 (4), p. e323. https://doi.org/10.1002/agt2.323
Optical coherence elastography based on inverse compositional Gauss-Newton digital volume correlation with second-order shape function
Wu, H., Wang, J., Catano, J.A.A., Sun, C. and Li, Z. (2022). Optical coherence elastography based on inverse compositional Gauss-Newton digital volume correlation with second-order shape function. Optics Express. 30 (23), pp. 41954-41968. https://doi.org/10.1364/OE.473898
Atomistic Investigation of Titanium Carbide Ti8C5 under Impact Loading
Xia, K., Zhan, H., Shao, J., Wang, J., Zheng, Z., Zhang, X. and Li, Z. (2022). Atomistic Investigation of Titanium Carbide Ti8C5 under Impact Loading. Metals. 12 (11), p. 1989. https://doi.org/10.3390/met12111989
The Need to Shift from Morphological to Structural Assessment for Carotid Plaque Vulnerability
Xiang, Y., Huang, X., Mendieta, J.B., Wang, J., Paritala, P.K., Lloyd, T. and Li, Z. (2022). The Need to Shift from Morphological to Structural Assessment for Carotid Plaque Vulnerability. Biomedicines. 10 (12), p. 3038. https://doi.org/10.3390/biomedicines10123038
Imaging-Based Patient-Specific Biomechanical Evaluation of Atherosclerosis and Aneurysm: A Comparison Between Structural-Only, Fluid-Only and Fluid–Structure Interaction Analysis
Mendieta, J.B., Paritala, P.K., Wang, J. and Li, Z. (2022). Imaging-Based Patient-Specific Biomechanical Evaluation of Atherosclerosis and Aneurysm: A Comparison Between Structural-Only, Fluid-Only and Fluid–Structure Interaction Analysis. International Conference on Medical Image Computing and Computer-Assisted Intervention. Singapore 18 - 22 Sep 2022 Springer. https://doi.org/10.1007/978-3-031-09327-2_4
Computational Fluid Dynamics Simulations at Micro-Scale Stenosis for Microfluidic Thrombosis Model Characterization
Zhao, Y.C., Vatankhah, P., Goh, T., Wang, J., Chen, X.V., Kashani, M.N., Zheng, K., Li, Z. and Ju, L.A. (2021). Computational Fluid Dynamics Simulations at Micro-Scale Stenosis for Microfluidic Thrombosis Model Characterization. Molecular & Cellular Biomechanics. 18 (1), pp. 1-10. https://doi.org/10.32604/mcb.2021.012598
Case Report: Evaluating Biomechanical Risk Factors in Carotid Stenosis by Patient-Specific Fluid-Structural Interaction Biomechanical Analysis
Wang, J., Mendieta, J.B., Paritala, P.K., Xiang, Y., Raffel, O.C., McGahan, T., Lloyd, T. and Li, Z. (2021). Case Report: Evaluating Biomechanical Risk Factors in Carotid Stenosis by Patient-Specific Fluid-Structural Interaction Biomechanical Analysis . Cerebrovascular Diseases. 50 (3), pp. 262-269. https://doi.org/10.1159/000514138
Optical coherence tomography-based patient-specific coronary artery reconstruction and fluid–structure interaction simulation
Wang, J., Paritala, P.K., Mendieta, J.B., Komori, Y., Raffel, O.C., Gu, Y. and Li, Z. (2020). Optical coherence tomography-based patient-specific coronary artery reconstruction and fluid–structure interaction simulation. Biomechanics and Modeling in Mechanobiology. 19, pp. 7-20. https://doi.org/10.1007/s10237-019-01191-9
Characterization of the Atherosclerotic Plaque Tissue
Paritala, P.K., Yarlagadda, T., Mendieta, J.B., Wang, J., Gu, Y., Li, Z. and Yarlagadda, P.K.D.V. (2020). Characterization of the Atherosclerotic Plaque Tissue. Advanced Materials Letters. 11 (5). https://doi.org/10.5185/amlett.2020.051507
The importance of blood rheology in patient-specific computational fluid dynamics simulation of stenotic carotid arteries
Mendieta, J.B., Fontarosa, D., Wang, J., Paritala, P.K., McGahan, T., Lloyd, T. and Li, Z. (2020). The importance of blood rheology in patient-specific computational fluid dynamics simulation of stenotic carotid arteries. Biomechanics and Modeling in Mechanobiology. 19, pp. 1477-1490. https://doi.org/10.1007/s10237-019-01282-7
Automated classification of coronary plaque calcification in OCT pullbacks with 3D deep neural networks
He, C., Wang, J., Yin, Y. and Li, Z. (2020). Automated classification of coronary plaque calcification in OCT pullbacks with 3D deep neural networks. Journal of Biomedical Optics. 26 (9), p. 095003. https://doi.org/10.1117/1.JBO.25.9.095003
Stress-Relaxation and Cyclic Behavior of Human Carotid Plaque Tissue
Wang, J. (2020). Stress-Relaxation and Cyclic Behavior of Human Carotid Plaque Tissue. Frontiers in Bioengineering and Biotechnology. 8. https://doi.org/10.3389/fbioe.2020.00060
Atherosclerotic Plaque Tissue Characterization: An OCT-Based Machine Learning Algorithm With ex vivo Validation
He, C., Li, Z., Wang, J., Huang, Y., Yin, Y. and Li, Z. (2020). Atherosclerotic Plaque Tissue Characterization: An OCT-Based Machine Learning Algorithm With ex vivo Validation. Frontiers in Bioengineering and Biotechnology. 8. https://doi.org/10.3389/fbioe.2020.00749
Carotid Bifurcation With Tandem Stenosis—A Patient-Specific Case Study Combined in vivo Imaging, in vitro Histology and in silico Simulation
Wang, J., Paritala, P.K., Mendieta, J.B., Gu, Y., Raffel, O.C., McGahan, T., Lloyd, T. and Li, Z. (2019). Carotid Bifurcation With Tandem Stenosis—A Patient-Specific Case Study Combined in vivo Imaging, in vitro Histology and in silico Simulation. Frontiers in Bioengineering and Biotechnology. 7. https://doi.org/10.3389/fbioe.2019.00349
Prediction of atherosclerotic plaque life – Perceptions from fatigue analysis
Paritala, P.K., Yarlagadda, T., Wang, J., Gu, Y.T. and Li, Z. (2019). Prediction of atherosclerotic plaque life – Perceptions from fatigue analysis. Procedia Manufacturing. 30, pp. 522-529. https://doi.org/10.1016/j.promfg.2019.02.073
3D-printing based Transducer Holder for Robotic Assisted Ultrasound Guided HIFU
Wang, J., Xu, X., Huang, Z. and Melzer, A. (2019). 3D-printing based Transducer Holder for Robotic Assisted Ultrasound Guided HIFU. Procedia Manufacturing. 30, pp. 3-10. https://doi.org/10.1016/j.promfg.2019.02.002
Numerical investigation of atherosclerotic plaque rupture using optical coherence tomography imaging and XFEM
Paritala, P.K., Yarlagadda, P.K.D.V., Wang, J., Gu, Y. and Li, Z. (2018). Numerical investigation of atherosclerotic plaque rupture using optical coherence tomography imaging and XFEM. Engineering Fracture Mechanics. 204, pp. 531-541. https://doi.org/10.1016/j.engfracmech.2018.11.002
Intravascular Optical Coherence Tomography Image Segmentation Based on Support Vector Machine Algorithm
Huang, Y., He, C., Wang, J., Miao, Y., Zhu, T., Zhou, P. and Li, Z. (2018). Intravascular Optical Coherence Tomography Image Segmentation Based on Support Vector Machine Algorithm. Molecular & Cellular Biomechanics. 15 (2), pp. 117-125. https://doi.org/10.3970/mcb.2018.02478
The Correlation Between Texture Features and Fibrous Cap Thickness of Lipid-Rich Atheroma Based on Optical Coherence Tomography Imaging
He, C., Wang, J., Huang, Y., Zhu, T., Miao. Y. and Li, Z. (2016). The Correlation Between Texture Features and Fibrous Cap Thickness of Lipid-Rich Atheroma Based on Optical Coherence Tomography Imaging. Molecular & Cellular Biomechanics. 13 (1), pp. 23-36. https://doi.org/10.3970/mcb.2016.013.027
Thiel soft embalmed Porcine Kidney Perfusion Model for focused ultrasound therapy
Wang, J., Xiao, X., Duncan, R., Karakitsios, I., Huang, Z., Mcleod, H. and Melzer, A. (2015). Thiel soft embalmed Porcine Kidney Perfusion Model for focused ultrasound therapy. 2015 IEEE International Ultrasonics Symposium (IUS). Taipei, Taiwan 21 Oct - 24 Nov 2015 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2015.0506