3D Vertebrae Measurements: Assessing Vertebral Dimensions in Human Spine Mesh Models Using Local Anatomical Vertebral Axes
Ivanna Kramer, Vinzent Rittel, Lara Blomenkamp, Sabine Bauer, Dietrich, Paulus

TL;DR
This paper presents an automated method for measuring vertebral dimensions from 3D mesh models, achieving high accuracy and enabling re-projection onto original medical images, thus improving efficiency in clinical and research settings.
Contribution
The study introduces a novel fully automated technique for vertebral measurements from 3D meshes, with demonstrated accuracy on low-resolution and artificially generated spine models.
Findings
Mean absolute error of 1.09 mm on patient-specific meshes
Average MAE of 0.7 mm on artificial lumbar spines
Measurements can be accurately reprojected onto original images
Abstract
Vertebral morphological measurements are important across various disciplines, including spinal biomechanics and clinical applications, pre- and post-operatively. These measurements also play a crucial role in anthropological longitudinal studies, where spinal metrics are repeatedly documented over extended periods. Traditionally, such measurements have been manually conducted, a process that is time-consuming. In this study, we introduce a novel, fully automated method for measuring vertebral morphology using 3D meshes of lumbar and thoracic spine models.Our experimental results demonstrate the method's capability to accurately measure low-resolution patient-specific vertebral meshes with mean absolute error (MAE) of 1.09 mm and those derived from artificially created lumbar spines, where the average MAE value was 0.7 mm. Our qualitative analysis indicates that measurements obtained…
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Taxonomy
TopicsMedical Imaging and Analysis · Anatomy and Medical Technology · Morphological variations and asymmetry
MethodsMasked autoencoder
