Identification of spinal vertebrae using mathematical morphology and level set method
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE, pp. 3105–3107
Abstract
An abstract is not available in the lab archive. View the paper at its source.
This 2011 IEEE conference paper presents a framework for identifying and segmenting spinal vertebrae in CT images using mathematical morphology, curve fitting and shape-guided level set segmentation.
Summary
The paper describes a two-stage approach to spinal vertebra segmentation in CT images. Mathematical morphology and curve fitting are used to identify vertebrae and connect them through their centroids; a shape-guided level set method then performs segmentation. The authors report experiments on spinal CT images and describe the results as demonstrating feasibility. The retrieved abstract does not provide sample sizes or quantitative performance measures, so the findings should not be read as evidence of clinical validation.
Cite this work
Poay Hoon Lim; Ulas Bagci; Omer Aras; Li Bai (2011). Identification of spinal vertebrae using mathematical morphology and level set method. Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE, pp. 3105–3107 https://doi.org/10.1109/NSSMIC.2011.6152563
BibTeX