IST-3 CT Head Scans

The IST-3 CT head scan dataset was created by the Clinical Brain Sciences Centre at the University of Edinburgh, containing 10,659 CT series for research on intracranial arterial calcification segmentation. The dataset originates from the third International Stroke Trial (IST-3), involving non‑contrast CT scans of 3,035 acute ischemic stroke patients. During creation, registration to a template and quality control ensured validity and accuracy. The dataset primarily supports deep‑learning methods for stroke risk assessment, especially automatic quantification of intracranial arterial calcifications.

Updated 8/2/2024

arXiv

Description

CT Scan Superimposition Tool

Installation

Clone the repository:

git clone https://github.com/bjin96/superimposition-tool.git

Install dependencies:
```
pip install -r requirements.txt
```
Ensure Qt5 is installed following the instructions in the Qt documentation.

Running

Set variables in config.json:

Variable	Description
`batch_size`	Number of scans to overlay at once.
`template_path`	Path to the template (NIfTI format, `.nii.gz`) that all scans are registered to.
`blacklist_path`	Path to a JSON file storing blacklisted file paths. If the file does not exist, it will be created.
`input_file_list_path`	Path to a JSON file containing a list of CT scan paths to be analyzed.

Blacklist File Format

[
    {"file": "/path/to/the/blacklisted/file1.nii.gz", "reason": "First comment"},
    {"file": "/path/to/the/blacklisted/file2.nii.gz", "reason": "Second comment"}
    // ...
]

Input File List Format

[
    "/path/to/the/file1.nii.gz",
    "/path/to/the/file2.nii.gz",
    // ...
]

Launch the Tool

python run.py

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Access Dataset

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Topics

Medical Imaging

Stroke Research

Source

Organization: arXiv

Created: 8/2/2024

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