English

A New 3D Method to Segment the Lumbar Vertebral Bodies and to Determine Bone Mineral Density and Geometry

Computer Vision and Pattern Recognition 2020-12-11 v2

Abstract

In this paper we present a new 3D segmentation approach for the vertebrae of the lower thoracic and the lumbar spine in spiral computed tomography datasets. We implemented a multi-step procedure. Its main components are deformable models, volume growing, and morphological operations. The performance analysis that included an evaluation of accuracy using the European Spine Phantom, and of intra-operator precision using clinical CT datasets from 10 patients highlight the potential for clinical use. The intra-operator precision of the segmentation procedure was better than 1% for Bone Mineral Density (BMD) and better than 1.8% for volume. The long-term goal of this work is to enable better fracture prediction and improved patient monitoring in the field of osteoporosis. A true 3D segmentation also enables an accurate measurement of geometrical parameters that can augment the classical measurement of BMD.

Keywords

Cite

@article{arxiv.1705.07146,
  title  = {A New 3D Method to Segment the Lumbar Vertebral Bodies and to Determine Bone Mineral Density and Geometry},
  author = {Andre Mastmeyer and Klaus Engelke and Sebastian Meller and Willi Kalender},
  journal= {arXiv preprint arXiv:1705.07146},
  year   = {2020}
}

Comments

8 pages, 6 figures, 1 table, MICCAI 2005. arXiv admin note: text overlap with arXiv:1705.07143