edoc

A semi-automatic method for the quantification of spinal cord atrophy

Pezold, Simon and Ammann, Michael and Weier, Katrin and Fundana, Ketut and Radue, Ernst W. and Sprenger, Till and Cattin, Philippe C.. (2014) A semi-automatic method for the quantification of spinal cord atrophy. In: Computational methods and clinical applications for spine imaging : proceedings of the Workshop held at the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, September 22-26, 2013, Nagoya, Japan. Cham, pp. 143-155.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/dok/A6337737

Downloads: Statistics Overview

Abstract

Due to its high flexibility, the spinal cord is a particularly challenging part of the central nervous system for the quantification of nervous tissue changes. In this paper, a novel semi-automatic method is presented that reconstructs the cord surface from MR images and reformats it to slices that lie perpendicular to its centerline. In this way, meaningful comparisons of cord cross-sectional areas are possible. Furthermore, the method enables to quantify the complete upper cervical cord volume. Our approach combines graph cut for presegmentation, edge detection in intensity profiles for segmentation refinement, and the application of starbursts for reformatting the cord surface. Only a minimum amount of user input and interaction time is required. To quantify the limits and to demonstrate the robustness of our approach, its accuracy is validated in a phantom study and its precision is shown in a volunteer scan–rescan study. The method’s reproducibility is compared to similar published quantification approaches. The application to clinical patient data is presented by comparing the cord cross-sections of a group of multiple sclerosis patients with those of a matched control group, and by correlating the upper cervical cord volumes of a large MS patient cohort with the patients’ disability status. Finally, we demonstrate that the geometric distortion correction of the MR scanner is crucial when quantitatively evaluating spinal cord atrophy.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
Item Type:Conference or Workshop Item, refereed
Publisher:Springer International Publishing
ISBN:978-3-319-07268-5
e-ISBN:978-3-319-07269-2
Series Name:Lecture Notes in Computational Vision and Biomechanics
Issue Number:17
Note:Publication type according to Uni Basel Research Database: Conference paper
Related URLs:
Identification Number:
Last Modified:06 Nov 2018 15:06
Deposited On:03 Jul 2015 08:53

Repository Staff Only: item control page