A Multi-Resolution Complex Carbonates Micro-CT Dataset (MRCCM)
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A Multi-Resolution Complex Carbonates Micro-CT Dataset (MRCCM) Overview: This dataset contains multi-resolution X-ray micro-computed tomography images of two complex carbonate rocks. The images included can be used to study partial volume effects, sub-resolution artifacts, segmentation methodology on digital rock analyses, and modeling. Furthermore, these images can be used for benchmarking deep learning frameworks for super-resolution, segmentation, or both (see related publication tab). Materials: The carbonates are Indiana Limestone (ILS) and Middle Eastern Carbonate (MEC) samples. Both rocks are monomineralic with over 95% calcite content and rare occurrence of other minerals such as quarts and micrite. Both rocks display a variety of microporous textures characterized by lower greyscale intensity levels (this can be seen in HR images). Mercury Intrusion Capillary Pressure (MICP) tests indicate a dual pore system in both carbonates. A detailed description can be found in the related journal publication. ILS MICP total porosity: 16.38% ILS MICP Macroporosity: 9.17% ILS MICP Microporosity 7.22% MEC MICP total porosity: 29.79% MEC MICP Macroporosity: 17.84% MEC MICP Microporosity 10.97% Image acquisition and processing: The 6 mm in diameter core plugs are imaged at a high spatial resolution (HR) of 2.68 micrometer/voxel and a low spatial resolution (LR) of 10.72 micrometer/voxel. The core plugs are imaged at the University of New South Wales using HeliScanTM micro-CT (Mark I). The segmentations were performed using Avizo Software using a combination of watershed and hysteresis algorithms. The segmented images containing three phases, namely: (1) macropores, (2) solid grains, (3) microporosity (sub-resolution porosity). Citation: To use this free data, we ask you to cite both (DOI) of this project and the related journal publication. File Organization: -Raw tomograms: We provide the raw tomograms of both rocks at high and low resolution. The raw files are in .nc format which can be opened using ImageJ, netCDF4 Python library, Matlab, Avizo, and many other software. The size of each (.nc) block is [2520 2520 40] voxels in X, Y, and Z directions and should be concatenated in sequence along the z-axis. The (,nc) variable name is set to 'tomo'. >Raw tomograms --High-resolution Indiana Limestone Tomogram (HR ILS Tomogram) - [101 Blocks] --High-resolution Middle Eastern Carbonate Tomogram (HR MEC Tomogram) - [119 Blocks] --Low-resolution Indiana Limestone Tomogram (LR ILS Tomogram) - [25 Blocks] --Low-resolution Middle Eastern Carbonate Tomogram (LR MEC Tomogram) - [31 Blocks] -Processed Volumes: Matching central LR & HR greyscale domains of each rock are provided as Matlab arrays (.mat). The HR domains are scaled four times the size of the LR domain. The Matlab arrays are saved in version ‘-v7.3’ and can be opened in Matlab and Python using h5py Python Library. The HR volumes are divided into 4 files and need to be concatenated along the z-axis to obtain the same LR image. The segmented HR images using Avizo are also made available. The testing volume used in our publication is the domain enclosed by the first 256 voxels in LR images and 1024 voxels in HR images in X, Y, and Z directions. > Processed Volumes -- HR Volumes (.mat) files (concatenate along z-axis) -- LR Volumes (.mat) files -- HR Segmented Volumes (.mat) files
多分辨率复杂碳酸盐岩显微CT数据集（MRCCM） 概述：本数据集包含两种复杂碳酸盐岩的多分辨率X射线显微计算机断层扫描（X-ray micro-computed tomography）图像。所提供的图像可用于研究数字岩石分析中的部分容积效应、亚分辨率伪影、分割方法及建模工作。此外，这些图像还可用于对超分辨率、分割或两者兼具的深度学习框架进行基准测试（详见相关出版物标签）。 实验材料：本次使用的碳酸盐岩样品为印第安纳州石灰岩（ILS）与中东碳酸盐岩（MEC）。两种岩石均为单矿物组成，方解石含量超过95%，仅含有少量石英、微晶灰岩等其他矿物。两种岩石均呈现多种微孔结构特征，其灰度强度较低（可在高分辨率图像中观察到）。压汞毛细管压力（Mercury Intrusion Capillary Pressure, MICP）测试表明，两种碳酸盐岩均存在双孔隙系统。详细描述可参见相关期刊论文。 ILS MICP总孔隙度：16.38% ILS MICP大孔隙度：9.17% ILS MICP微孔度：7.22% MEC MICP总孔隙度：29.79% MEC MICP大孔隙度：17.84% MEC MICP微孔度：10.97% 图像采集与处理：本次实验采用直径6 mm的岩心柱，分别以2.68 微米/体素的高空间分辨率（HR）与10.72 微米/体素的低空间分辨率（LR）进行成像。成像工作由新南威尔士大学使用HeliScanTM显微CT（Mark I型）完成。图像分割采用Avizo软件，结合分水岭与滞后阈值算法实现。分割后的图像包含三个相：（1）大孔隙；（2）固体颗粒；（3）微孔（亚分辨率孔隙）。 引用说明：若使用本免费数据集，请同时引用本项目的DOI与相关期刊论文的DOI。 文件组织： - 原始断层扫描图像： 我们提供两种岩石的高、低分辨率原始断层扫描图像。原始文件格式为.nc，可通过ImageJ、netCDF4 Python库、Matlab、Avizo及其他多款软件打开。每个.nc数据块在X、Y、Z方向的体素尺寸为[2520, 2520, 40]，需沿Z轴顺序拼接。数据变量名为'tomo'。 > 原始断层扫描图像 -- 高分辨率印第安纳州石灰岩断层扫描图像（HR ILS 断层扫描图像） - [101个数据块] -- 高分辨率中东碳酸盐岩断层扫描图像（HR MEC 断层扫描图像） - [119个数据块] -- 低分辨率印第安纳州石灰岩断层扫描图像（LR ILS 断层扫描图像） - [25个数据块] -- 低分辨率中东碳酸盐岩断层扫描图像（LR MEC 断层扫描图像） - [31个数据块] - 处理后体数据： 我们提供每种岩石匹配的中心LR与HR灰度域，以Matlab数组（.mat格式）存储。HR域的尺寸为LR域的4倍。Matlab数组采用v7.3版本保存，可通过Matlab及Python的h5py库打开。HR体数据分为4个文件，需沿Z轴拼接以获得与LR图像尺寸一致的完整数据。 此外，我们还提供使用Avizo分割得到的HR图像。本研究发表中使用的测试体域为：LR图像X、Y、Z方向各取前256个体素，HR图像X、Y、Z方向各取前1024个体素所围成的区域。 > 处理后体数据 -- HR体数据（.mat格式，需沿Z轴拼接） -- LR体数据（.mat格式） -- HR分割体数据（.mat格式）
