Aberrant Subclavian Artery CFD Dataset
Authors/Creators
Contributors
Data collector:
Hosting institution:
Description
Authors:
- Prof. Ghedini Emanuele
- Dr. Rossi Giovanni
- Ugolini Edoardo
- Eng. Giorgio La Civita
- Dr. Ferraresi Marco
- Dr. Moad Alaidroos
Version: v.0.1.
Brief description and aim
This dataset contains result from a CFD campaign performed by the research group of the Industrial Engineering Department (DIN) of the University of Bologna, led by Prof. Emanuele Ghedini, and the joined effort of the Lecco's ASST, Alessandro Manzoni Hospital, led by Dr. Giovanni Rossi. The "Aberrant Subclavian Artery CFD Dataset" gathers results on the Aberrant Subclavian Artery (ASA) hemodynamic simulation. This initiative aims to aid the scientific community in modelling, analysis, and understanding of rare vascular pathologies, with a continuously growing dataset.
Dataset structure
The dataset is composed of 12 total patients, divided into “Pathologic” (6 subjects with ASA – folder name: M#caseNumber.zip) and “Healthy” (6 subjects with healthy anatomies - folder name: H#caseNumber.zip). CFD simulations are carried out using the same BC (Boundary Conditions) for each patient. BC are reported numerically (“inlet_velocity.csv”, “outlet_pressure.csv”) inside each case's BC subfolder.
Pathologic patients' description
| ID | Gender-Age | ASA and associated aortic lesion | Right/Left-sided arc | Kommerel's diverticulum | Retro-esophageal ASA | Bicarotid trunk |
| M1 | F-74 | Ruptured arch aneurysm (zone 2 and 3 of the Ishimaru classification)+ right ASA |
Left | Yes | Yes | No |
| M2 | M-80 | Symptomatic right ASA | Left | Yes | Yes | No |
| M3 | F-73 | Thoracic Aortic Dissection (TAAD) + right ASA | Left | Yes | Yes | Yes |
| M4 | M-76 | TAAD+ right ASA | Left | Yes | Yes | No |
| M5 | M-34 | TAAD + right ASA | Left | No | Yes | Yes |
| M6 | F-80 | Asymptomatic left ASA | Right | Yes | Yes | No |
Hemodynamic fields description
For each patient, CFD results are collected respectively at the pre-systolic (2.34 s), peak systolic (2.46 s) and diastolic (2.8 s) phases of the last cardiac cycle simulated. For any further methodological detail please refer to the paper related to this dataset. Post-processing can be shown by using Paraview. A MultiBlock .vtm files for each interest timestep is located inside each patient’s directory, under the data subdirectory, together with a Paraview state .pvsm for pure visualization. The CFD post-processing presented with the dataset is summarized below:
• Internal velocity streamlines and velocity glyph at the patch (m/s)
• Velocity streamlines’ glyph (m/s)
• WSS (Wall Shear Stress) distribution map and direction glyph at the wall (Pa)
• Pressure at the wall (Pa)
• OSI (Oscillatory Shear Index) distribution map (#)
• TVR (Turbulent Viscosity Ratio) distribution map (#)
Usage
To navigate CFD results for each case, the user must extract the main directory P#caseNumber or H#caseNumber and open Paraview, highly recommended for full compliance. Then, after opening Paraview, select “Load State” and navigate to the desired case’s directory, selecting the Paraview state P#caseNumber.pvsm or H#caseNumber.pvsm. Then, in the successive window, select “Search files under specific directory” from the menu, choosing the data directory.
Files
H1.zip
Files
(1.1 GB)
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md5:a915bb8cab594163f232e76ab1471e20
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md5:55df3b4f1e1b7af2c3e85246f4cbd221
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108.8 MB | Preview Download |
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md5:7934dd2b47b3ed7c40280ae02356e355
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91.3 MB | Preview Download |
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md5:b01f60f9c6a44a5cd3f55fc759623f2e
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md5:98d7438cdb4b55ed59c54135e11e17ca
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58.7 MB | Preview Download |
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md5:eca606bd6749e45a5ec313ce0dc9fc57
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86.7 MB | Preview Download |
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md5:8e2eb147b120859c9324b804c19b0fb0
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86.2 MB | Preview Download |
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md5:394b2beadfc8d5801fa52787430f0bf3
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75.6 MB | Preview Download |
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md5:f28889784f1527e1b7c3f38831928422
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85.3 MB | Preview Download |
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md5:3e4ae70147d8e22a4224f66fcfc1a13f
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127.8 MB | Preview Download |
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md5:2d59a52c7f07ed935dd95ec9abb7ba80
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92.0 MB | Preview Download |
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md5:ef76273109a1cc4eebf693700d386b7b
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119.5 MB | Preview Download |
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md5:fa797064401e7e5b590abd69e8c40f4c
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423.4 kB | Preview Download |
Additional details
Related works
- Is derived from
- Journal article: 10.3390/biomed5020009 (DOI)