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README.md
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license: apache-2.0
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task_categories:
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- visual-question-answering
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- medical-imaging
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language:
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- en
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- zh
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- radiology
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- nuclear medicine
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pretty_name: MetaStructAtlas
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---
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# MetaStructAtlas: A Grounded 3D Vision-Language Dataset and Benchmark for Functional and Structural Reasoning in Whole-Body PET/CT
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**100,565 QA pairs**.
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The benchmark evaluates progressively increasing reasoning abilities.
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## Benchmark Structure
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MetaStructVQA contains three reasoning levels.
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Segmentation masks are derived from CT and transferred to PET space through registration.
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- lesion-level annotations
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- additional PET tracers
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- larger multi-center cohorts
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## Citation
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title={MetaStructAtlas: A Grounded 3D Vision-Language Dataset and Benchmark for Functional and Structural Reasoning in Whole-Body PET/CT},
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author={Zheng, Chenguang and Xue, Le and Zhang, Yichi and others},
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journal={},
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year={2026}
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}
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license: apache-2.0
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task_categories:
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- visual-question-answering
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language:
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- en
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- zh
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- radiology
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- nuclear medicine
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pretty_name: MetaStructAtlas
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# Dataset status
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private: false
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---
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# MetaStructAtlas: A Grounded 3D Vision-Language Dataset and Benchmark for Functional and Structural Reasoning in Whole-Body PET/CT
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**100,565 QA pairs**.
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## Benchmark Structure
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MetaStructVQA contains three reasoning levels.
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Segmentation masks are derived from CT and transferred to PET space through registration.
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## Current Release Status
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🚧 Under preparation
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The dataset repository currently provides documentation only.
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The full imaging dataset will become available after publication acceptance.
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