TRISTAN: Raw DICOM Archives for Preclinical Drug-Interaction Studies in Rats

TRISTAN: Preclinical Rat MRI (Raw DICOM) This record contains original, unprocessed DICOM data from 15 preclinical rat studies (S01–S15) conducted within the TRISTAN project. Each study investigates drug–drug interactions or protocol effects under controlled conditions. Files are distributed as ZIP archives per study. DOI: 10.5281/zenodo.17178063 Included studies S01 – tristan_rats_study_01_rifampicin_effect_size S02 – tristan_rats_study_02_rifampicin_effect_size S03 – tristan_rats_study_03_rifampicin_effect_size S04 – tristan_rats_study_04_rifampicin_effect_size S05 – tristan_rats_study_05_single_asunaprevir S06 – tristan_rats_study_06_single_pioglitazone S07 – tristan_rats_study_07_single_ketoconazole S08 – tristan_rats_study_08_single_cyclosporine S09 – tristan_rats_study_09_single_bosentan_high S10 – tristan_rats_study_10_single_bosentan S11 – tristan_rats_study_11_chronic_bosentan_placebo S12 – tristan_rats_study_12_single_rifampicin S13 – tristan_rats_study_13_field_strength S14 – tristan_rats_study_14_chronic_rifampicin_placebo S15 – tristan_rats_study_15_chronic_cyclosporine_placebo File structure. Each study ZIP contains nested ZIPs named like SXX_RatYY_DayZ.zip, i.e., scans from one rat on a given day. Data are raw DICOM only—no preprocessing. Quick start (manual) Download the study ZIP(s) you need (e.g., S01.zip). Unzip; inside you’ll find multiple inner ZIPs per rat/day. Unzip those to access the DICOM series. Programmatic download (Python) Use the tristan.rat_fetch function in the open-source miblab-data package to download, optionally recursively unzip, and (optionally) convert to NIfTI. Related analyses and figures Reproducible analysis code and generated figures: https://github.com/openmiblab/tristan-rat-analysis Citation Please cite this dataset as: Teh, K., Sourbron, S., and the TRISTAN Consortium (2025). TRISTAN: Preclinical rat MRI (raw DICOM). Zenodo. https://doi.org/10.5281/zenodo.17178063 License CC BY 4.0 — You are free to share and adapt the material with appropriate credit. Contact Kevin Teh University of Sheffield, Division of Clinical Medicine [e-mail]：临床前大鼠磁共振成像（Magnetic Resonance Imaging，MRI）原始DICOM（Digital Imaging and Communications in Medicine）数据集 本数据集包含TRISTAN项目下开展的15项临床前大鼠研究（S01–S15）的原始未处理DICOM数据。每项研究均在受控实验条件下探究药物相互作用或实验方案效应。所有文件按研究分批次打包为ZIP压缩包。 DOI：10.5281/zenodo.17178063 纳入研究 S01 – tristan_rats_study_01_rifampicin_effect_size S02 – tristan_rats_study_02_rifampicin_effect_size S03 – tristan_rats_study_03_rifampicin_effect_size S04 – tristan_rats_study_04_rifampicin_effect_size S05 – tristan_rats_study_05_single_asunaprevir S06 – tristan_rats_study_06_single_pioglitazone S07 – tristan_rats_study_07_single_ketoconazole S08 – tristan_rats_study_08_single_cyclosporine S09 – tristan_rats_study_09_single_bosentan_high S10 – tristan_rats_study_10_single_bosentan S11 – tristan_rats_study_11_chronic_bosentan_placebo S12 – tristan_rats_study_12_single_rifampicin S13 – tristan_rats_study_13_field_strength S14 – tristan_rats_study_14_chronic_rifampicin_placebo S15 – tristan_rats_study_15_chronic_cyclosporine_placebo 文件结构 每份研究的ZIP压缩包中包含嵌套式ZIP文件，命名格式为SXX_RatYY_DayZ.zip，对应单只大鼠在特定扫描日的影像数据。本数据集仅包含原始DICOM数据，未经过任何预处理。 手动快速入门指南 1. 下载所需的研究ZIP包（例如S01.zip）。 2. 解压该ZIP包，其中包含对应每只大鼠/每个扫描日的多层ZIP文件。 3. 继续解压这些嵌套ZIP文件即可获取DICOM序列数据。 Python程序化下载方法 可通过开源miblab-data工具包中的tristan.rat_fetch函数实现数据集下载，支持可选的递归解压以及可选的格式转换为NIfTI（Neuroimaging Informatics Technology Initiative）。 相关分析与图表 可复现的分析代码及生成图表地址：https://github.com/openmiblab/tristan-rat-analysis 引用方式 本数据集的引用格式如下： Teh, K., Sourbron, S., and the TRISTAN Consortium (2025). TRISTAN: Preclinical rat MRI (raw DICOM). Zenodo. https://doi.org/10.5281/zenodo.17178063 授权协议 CC BY 4.0协议：您可自由共享、改编本数据集内容，但需标注恰当的来源出处。 联系方式 凯文·特（Kevin Teh），谢菲尔德大学临床医学系，邮箱：[e-mail]