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Updated: Feb 5, 2026
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Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
Published on: June 3, 2018
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Thorax x-ray and CT interventional dataset for nonrigid 2D/3D image registration evaluation
Wei Xia1, Qingpeng Jin1,2, Caifang Ni3
1Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China.
Medical Physics
|September 7, 2018
Summary
A new, publicly available dataset of pig lung images was created to evaluate nonrigid 2D/3D registration algorithms. This standard dataset includes computed tomography (CT) and X-ray images with validated landmarks for robust algorithm assessment.
Area of Science:
- Medical Imaging
- Computer Vision
- Biomedical Engineering
Background:
- Nonrigid 2D/3D registration is crucial for aligning medical images across different modalities and respiratory phases.
- Existing datasets may lack the comprehensive nature required for rigorous evaluation of advanced registration algorithms.
Purpose of the Study:
- To introduce a novel, publicly accessible standard image dataset for evaluating nonrigid 2D/3D registration algorithms.
- To provide a robust evaluation framework alongside the dataset.
Main Methods:
- A pig lung model was utilized, simulating respiratory variations through controlled oxygen inflation.
- 3D CT, 2D CT scout, and 2D X-ray images were acquired for identical respiratory states.
- 120 manually annotated landmarks per 3D volume, with 8 also in 2D images, were validated by radiologists.
Main Results:
- The dataset comprises 3D CT (DICOM, ITK Meta) and 2D images (DICOM).
- Landmark coordinates are provided in text files.
- A standard evaluation framework and dataset access via Zenodo are detailed.
Conclusions:
- The dataset, acquired using advanced clinical imaging, is highly suitable for quantitative evaluation of state-of-the-art nonrigid 2D/3D registration algorithms.
- This resource facilitates reproducible research and development in medical image registration.
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