Medizinische Universität Graz - Research portal

Logo MUG Resarch Portal

Selected Publication:

SHR Neuro Cancer Cardio Lipid Metab Microb

Stern, D; Likar, B; Pernus, F; Vrtovec, T.
Automated detection of spinal centrelines, vertebral bodies and intervertebral discs in CT and MR images of lumbar spine.
Phys Med Biol. 2010; 55(1):247-264 Doi: 10.1088/0031-9155/55/1/015
Web of Science PubMed FullText FullText_MUG

 

Leading authors Med Uni Graz
Stern Darko
Altmetrics:

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

Abstract:
We propose a completely automated algorithm for the detection of the spinal centreline and the centres of vertebral bodies and intervertebral discs in images acquired by computed tomography (CT) and magnetic resonance (MR) imaging. The developed methods are based on the analysis of the geometry of spinal structures and the characteristics of CT and MR images and were evaluated on 29 CT and 13 MR images of lumbar spine. The overall mean distance between the obtained and the ground truth spinal centrelines and centres of vertebral bodies and intervertebral discs were 1.8 +/- 1.1 mm and 2.8 +/- 1.9 mm, respectively, and no considerable differences were detected among the results for CT, T(1)-weighted MR and T(2)-weighted MR images. The knowledge of the location of the spinal centreline and the centres of vertebral bodies and intervertebral discs is valuable for the analysis of the spine. The proposed method may therefore be used to initialize the techniques for labelling and segmentation of vertebrae.
Find related publications in this database (using NLM MeSH Indexing)
Algorithms -
Automation -
Humans -
Image Processing, Computer-Assisted - methods
Intervertebral Disc - anatomy & histology
Intervertebral Disc - diagnostic imaging
Lumbar Vertebrae - anatomy & histology
Lumbar Vertebrae - diagnostic imaging
Magnetic Resonance Imaging - methods
Tomography, X-Ray Computed - methods

© Med Uni GrazImprint