A preclinical CT and MRI Liver Imaging Dataset with Anatomical, Functional and Segmentation Data.
1/5 보강
Chronic liver diseases (CLD) account for more than 2% of deaths worldwide.
APA
Schraven S, Gonzalez C, et al. (2026). A preclinical CT and MRI Liver Imaging Dataset with Anatomical, Functional and Segmentation Data.. Scientific data, 13(1). https://doi.org/10.1038/s41597-026-07003-x
MLA
Schraven S, et al.. "A preclinical CT and MRI Liver Imaging Dataset with Anatomical, Functional and Segmentation Data.." Scientific data, vol. 13, no. 1, 2026.
PMID
41872225 ↗
Abstract 한글 요약
Chronic liver diseases (CLD) account for more than 2% of deaths worldwide. Extensive research has been conducted to better understand CLD, generating vast amounts of data. However, only a small fraction of raw preclinical data are publicly available, posing a significant challenge for transparency, reproducibility, and data reuse. Therefore, we built a preclinical liver imaging dataset, the first of its kind to our knowledge. The database contains longitudinal liver MRI scans from mice with hepatocellular carcinoma, metabolic dysfunction-associated steatohepatitis (MASH, formerly NASH), and fibrosis, as well as CT scans of mice with MASH and mice carrying a dysfunctional ICAM-1 gene. Superimposable MRI and CT scans bridge the gap between the modalities. Some of the 222 murine scans have annotated segmentations. Metadata containing both scan and mouse parameters are organized using a tailored metadata profile in ISA-Tabs. This dataset enables advanced image analysis, such as building tools for automated segmentation, train radiomics analysis tools, or can be used as a reference control dataset.
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