MetaStructAtlas: A Grounded 3D Vision-Language Dataset and Benchmark for Functional and Structural Reasoning in Whole-Body PET/CT
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TL;DR - MetaStructAtlas is a large-scale, grounded 3D vision-language dataset and benchmark for jointly reasoning over metabolic and anatomical evidence in whole-body PET/CT. It addresses a gap in medical VLM research, which has largely focused on regional CT imaging.
- Includes 490 co-registered 3D PET/CT volumes, 50,470 organ-level segmentation masks, and grounded radiology reports.
- Introduces MetaStructVQA, a benchmark with 100,565 grounded visual question-answer pairs.
- Covers anatomical, morphological, and metabolic reasoning while linking diagnostic questions to visual evidence across modalities.
- Evaluates state-of-the-art 3D medical vision-language models to establish a baseline for whole-body nuclear-medicine reasoning.
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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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TL;DR - MetaStructAtlas is a large-scale, grounded 3D vision-language dataset and benchmark for jointly reasoning over metabolic and anatomical evidence in whole-body PET/CT. It addresses a gap in medical VLM research, which has largely focused on regional CT imaging.
- Includes 490 co-registered 3D PET/CT volumes, 50,470 organ-level segmentation masks, and grounded radiology reports.
- Introduces MetaStructVQA, a benchmark with 100,565 grounded visual question-answer pairs.
- Covers anatomical, morphological, and metabolic reasoning while linking diagnostic questions to visual evidence across modalities.
- Evaluates state-of-the-art 3D medical vision-language models to establish a baseline for whole-body nuclear-medicine reasoning.