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arXiv Machine Learning By Gregory Schwing, Ashley Schehr, Annika Tekumulla, Margret Khoushi, Ryan Christian, Dane Hubers, Faris Mahjoub, Hassan Saad, Mia Sooch, Sathyagopal Siddapureddy, Michael McLellan, Jerick Kim, Miraziz Ismoilov, Nizar Alnabahneh

CTSpinoPelvic1K: spine, pelvis, ribs and femora in one coordinate frame, annotated for lumbosacral transitional anatomy

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CTSpinoPelvic1K is a new dataset that unifies spine, pelvis, ribs, and femora annotations from two prior collections (CTSpine1K and CTPelvic1K) into a single coordinate frame. It contains 802 abdominal‑pelvic CT scans with per‑level rib and femur labels, anchored on the lowest rib‑bearing vertebra and S1, and includes explicit classes for lumbosacral transitional vertebrae (L6, T13, separate S1, lumbar ribs). The data were validated for geometric consistency, rib‑vertebra incidence, and spinopelvic measurements, and are available as NIfTI image/label pairs with a loader and stratified cross‑validation splits.

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