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Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade

Queensland University of Technology
Paritala, Phani Kumari ; Anbananthan, Haveena ; Hautaniemi, Jacob ; Smith, Macauley ; George, Antony ; Allenby, Mark ; Benitez Mendieta, Jessica ; Wang, Jiaqiu ; Maclachlan, Liam ; Liang, Ee Shern ; Prior, Marita ; Yarlagadda, Prasad K.D.V. ; Winter, Craig ; Li, Zhiyong
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25912/RDF_1690510751649&rft.title=Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade&rft.identifier=10.25912/RDF_1690510751649&rft.publisher=Queensland University of Technology&rft.description=Computational fluid dynamics (CFD) simulations are increasingly utilised to evaluate intracranial aneurysm (IA) haemodynamics to aid in the prediction of morphological changes and rupture risk. However, these models vary and differences in published results warrant the investigation of IA-CFD reproducibility. This data set supports the study that aimed to explore sources of intra-team variability and determine its impact on the aneurysm morphology and CFD parameters. A team of four operators were given six sets of magnetic resonance angiography data spanning a decade from one patient with a middle cerebral aneurysm. All operators were given the same protocol and software for model reconstruction and numerical analysis. The morphology and haemodynamics of the operator models were then compared.  This is data collected for the morphology and haemodynamics at systole of the patient-specific aneurysm at 6-time points for all 4 operators in this study. Patient imaging data (MRI or CT scans) were not provided due to ethics obligations.  &rft.creator=Paritala, Phani Kumari &rft.creator=Anbananthan, Haveena &rft.creator=Hautaniemi, Jacob &rft.creator=Smith, Macauley &rft.creator=George, Antony &rft.creator=Allenby, Mark &rft.creator=Benitez Mendieta, Jessica &rft.creator=Wang, Jiaqiu &rft.creator=Maclachlan, Liam &rft.creator=Liang, Ee Shern &rft.creator=Prior, Marita &rft.creator=Yarlagadda, Prasad K.D.V. &rft.creator=Winter, Craig &rft.creator=Li, Zhiyong &rft.date=2023&rft.edition=1&rft.relation=https://eprints.qut.edu.au/237235/&rft.coverage=153.317870,-26.996845 152.668523,-26.996845 152.668523,-27.767441 153.317870,-27.767441 153.317870,-26.996845&rft.coverage=The patient's medical imaging data was provided by the Royal Brisbane and Women's Hospital in Brisbane, Queensland. &rft_rights=© Queensland University of Technology, 2023.&rft_rights=Creative Commons Attribution 3.0 http://creativecommons.org/licenses/by/4.0/&rft_subject=Intra-team reproducibility&rft_subject=Computational Fluid Dynamics&rft_subject=Wall Shear Stress Divergence&rft_subject=Intracranial Aneurysm&rft_subject=Biomedical engineering&rft_subject=ENGINEERING&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution 3.0
http://creativecommons.org/licenses/by/4.0/

© Queensland University of Technology, 2023.

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This dataset is published open access and may be used in accordance with the licence below.

Associated patient imaging data underpinning the publication is unable to be openly published due to ethical reasons. To request access to the restricted data, contact the Chief Investigator whose details are listed under the 'Contacts' section of this record.

Contact Information

Postal Address:
Professor Zhiyong Li

zhiyong.li@qut.edu.au

Full description

Computational fluid dynamics (CFD) simulations are increasingly utilised to evaluate intracranial aneurysm (IA) haemodynamics to aid in the prediction of morphological changes and rupture risk. However, these models vary and differences in published results warrant the investigation of IA-CFD reproducibility.

This data set supports the study that aimed to explore sources of intra-team variability and determine its impact on the aneurysm morphology and CFD parameters. A team of four operators were given six sets of magnetic resonance angiography data spanning a decade from one patient with a middle cerebral aneurysm. All operators were given the same protocol and software for model reconstruction and numerical analysis. The morphology and haemodynamics of the operator models were then compared. 

This is data collected for the morphology and haemodynamics at systole of the patient-specific aneurysm at 6-time points for all 4 operators in this study. Patient imaging data (MRI or CT scans) were not provided due to ethics obligations. 

Data time period: 2010 to 2019

This dataset is part of a larger collection

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Related Publications

  • Associated with Paritala, Phani Kumari, Anbananthan, Haveena, Hautaniemi, Jacob, Smith, Macauley, George, Antony, Allenby, Mark, Mendieta, Jessica Benitez, Wang, Jiaqiu, Maclachlan, Liam, Liang, Ee Shern, Prior, Marita, Yarlagadda, Prasad K.D.V., Winter, Craig, & Li, Zhiyong (2023) Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade. Scientific Reports, 13(1)
    uri : eprints.qut.edu.au/237235/

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153.31787,-26.99685 152.66852,-26.99685 152.66852,-27.76744 153.31787,-27.76744 153.31787,-26.99685

152.9931965,-27.382143

text: The patient's medical imaging data was provided by the Royal Brisbane and Women's Hospital in Brisbane, Queensland.

Subjects
Biomedical Engineering | Computational Fluid Dynamics | Engineering | Intra-team reproducibility | Intracranial Aneurysm | Wall Shear Stress Divergence |

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