Anzeige
Erschienen in:
2016 | OriginalPaper | Buchkapitel
Automatic Intervertebral Discs Localization and Segmentation: A Vertebral Approach
verfasst von : Amir Jamaludin, Meelis Lootus, Timor Kadir, Andrew Zisserman
Erschienen in: Computational Methods and Clinical Applications for Spine Imaging
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
This paper describes an automatic system for intervertebral discs (IVDs) localization and segmentation in three-dimensional magnetic resonance imaging scans. The system builds upon the localization and segmentation system first introduced by Lootus et al. with several improvements to the localization step. The system was trained on T1 and T2 scans of 341 patients obtained from various sources. The proposed system achieved a mean localization error of \(1.1\,{\pm }\,0.6\) mm and a mean Dice overlap coefficient of \(84.0\,{\pm }\,1.5\,\%\) on the 15 training data of the challenge on IVD localization and segmentation at the 3rd MICCAI Workshop & Challenge on Computational Methods and Clinical Applications for Spine Imaging - MICCAI–CSI2015.