Published October 7, 2025 | Version 0.1.

Aberrant Subclavian Artery CFD Dataset

Contributors

Hosting institution:

  • 1. ROR icon Aziende Socio Sanitarie Territoriali di Lecco

Description

Authors:

  1. Prof. Ghedini Emanuele
  2. Dr. Rossi Giovanni
  3. Ugolini Edoardo
  4. Eng. Giorgio La Civita
  5. Dr. Ferraresi Marco
  6. 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)

Name Size
md5:a915bb8cab594163f232e76ab1471e20
87.6 MB Preview Download
md5:55df3b4f1e1b7af2c3e85246f4cbd221
108.8 MB Preview Download
md5:7934dd2b47b3ed7c40280ae02356e355
91.3 MB Preview Download
md5:b01f60f9c6a44a5cd3f55fc759623f2e
78.6 MB Preview Download
md5:98d7438cdb4b55ed59c54135e11e17ca
58.7 MB Preview Download
md5:eca606bd6749e45a5ec313ce0dc9fc57
86.7 MB Preview Download
md5:8e2eb147b120859c9324b804c19b0fb0
86.2 MB Preview Download
md5:394b2beadfc8d5801fa52787430f0bf3
75.6 MB Preview Download
md5:f28889784f1527e1b7c3f38831928422
85.3 MB Preview Download
md5:3e4ae70147d8e22a4224f66fcfc1a13f
127.8 MB Preview Download
md5:2d59a52c7f07ed935dd95ec9abb7ba80
92.0 MB Preview Download
md5:ef76273109a1cc4eebf693700d386b7b
119.5 MB Preview Download
md5:fa797064401e7e5b590abd69e8c40f4c
423.4 kB Preview Download

Additional details

Related works

Is derived from
Journal article: 10.3390/biomed5020009 (DOI)