LoDoInd: A Benchmark Low-dose Industrial CT Dataset - 1 of 3

Summary

This dataset accompanies the paper "LoDoInd: Introducing A Benchmark Low-dose Industrial CT Dataset and Enhancing Denoising with 2.5D Deep Learning Techniques". We are releasing the dataset with five different dose levels, including a reference set. All datasets are pre-registered, making them immediately suitable for deep learning applications in industrial CT.

Description

The uploaded content includes reconstructed images for noise levels 1 and 2. Each level comprises 4000 slices, with each slice being 1250x1250 pixels. Due to the 50 GB space limitation per submission on Zenodo, the rest of the dataset is available through separate links listed below:

Noise1 and Noise2 (this one) https://zenodo.org/records/10356955

Noise3 and Noise4 https://zenodo.org/records/10391277

Noise5 and Reference https://zenodo.org/records/10391412

The scanning parameters for all noise levels are summarized in the table below:

Averaged Projs
Exposure Time/ms
Scan Time/min
Voltage/kV
Current/uA

Reference
6
333
59.3
140
180

Noise Level 1
1
333
9.9
140
180

Noise Level 2
1
333
9.9
140
90

Noise Level 3
1
333
9.9
140
45

Noise Level 4
1
333
9.9
140
23

Noise Level 5
1
333
9.9
140
12

Additional link

The code for supervised learning-based denoising is available code .

Acknowledgment

This research was co-financed by the European Union H2020-MSCA-ITN-2020 under grant agreement no. 956172 (xCTing).

数据集概述
本数据集配套于论文《LoDoInd：构建基准低剂量工业CT（Industrial CT）数据集及基于2.5D深度学习（2.5D Deep Learning）技术的降噪增强方法》。本次发布的数据集包含五个不同剂量等级，其中包含一组参考数据集。所有数据集均已完成预注册，可直接应用于工业CT领域的深度学习相关任务。

数据集说明
本次上传内容包含噪声等级1和2的重建图像。每个噪声等级包含4000张断层切片，单张切片分辨率为1250×1250像素。鉴于Zenodo平台单次提交的存储空间限制为50GB，数据集剩余部分可通过以下所列的独立链接获取：

噪声等级1与噪声等级2（本数据包）：https://zenodo.org/records/10356955
噪声等级3与噪声等级4：https://zenodo.org/records/10391277
噪声等级5与参考组：https://zenodo.org/records/10391412

所有噪声等级的扫描参数汇总如下：

| 组别 | 平均投影数 | 曝光时长/ms | 扫描时长/min | 管电压/kV | 管电流/uA |
|------------|------------|-------------|--------------|-----------|-----------|
| 参考组 | 6 | 333 | 59.3 | 140 | 180 |
| 噪声等级1 | 1 | 333 | 9.9 | 140 | 180 |
| 噪声等级2 | 1 | 333 | 9.9 | 140 | 90 |
| 噪声等级3 | 1 | 333 | 9.9 | 140 | 45 |
| 噪声等级4 | 1 | 333 | 9.9 | 140 | 23 |
| 噪声等级5 | 1 | 333 | 9.9 | 140 | 12 |

附加资源链接
基于监督学习的降噪方法代码已公开。

致谢
本研究由欧盟H2020-MSCA-ITN-2020计划（资助编号：956172，项目名称xCTing）联合资助。