Identification of spinal vertebrae using mathematical morphology and level set method

Poay Hoon Lim*, Ulas Bagci, Omer Aras, Li Bai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Precise detection and segmentation of spinal vertebrae are crucial in the study of spinal related disease or disorders such as vertebral fractures. Identifying severity of fractures and understanding its causes will help physicians determine the most effective pharmacological treatments and clinical management strategies for spinal disorders. Although image segmentation has been a widely research area, limited work has been done on detecting and segmenting vertebrae. The complexity of vertebrae shapes, gaps in the cortical bone, internal boundaries, as well as the noisy, incomplete or missing information from the medical images have undoubtedly increased the challenge. In this paper, we introduce a new, mathematically driven spinal vertebrae segmentation framework. We first use the traditional image processing techniques, the mathematical morphology and curve fitting to identify the spinal vertebrae and connect them through their centroid. This process is followed by an advanced shape driven level set segmentation, where the level set evolution is guided by a shape constraint and driven by a shape energy coupled with a Gaussian kernel. Experimental results on CT images of spinal vertebrae demonstrate the feasibility of our proposed framework. Our ultimate goal is to provide a quantitative platform for efficient and accurate diagnosis of spinal disorder related diseases.

Original languageEnglish (US)
Title of host publication2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3105-3107
Number of pages3
ISBN (Print)9781467301183
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011 - Valencia, Spain
Duration: Oct 23 2011Oct 29 2011

Publication series

NameIEEE Nuclear Science Symposium Conference Record
ISSN (Print)1095-7863

Conference

Conference2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011
CountrySpain
CityValencia
Period10/23/1110/29/11

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

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