Conference proceeding
Automated analysis of cartilage morphology
2013 IEEE 10th International Symposium on Biomedical Imaging, pp.1300-1303
04/2013
DOI: 10.1109/ISBI.2013.6556770
Abstract
Magnetic Resonance Imaging (MRI) allows early detection of and assessment of progression in Osteoarthritis (OA). It is known that the rate of cartilage loss varies in individual cartilage plates. No known completely automated algorithms exist to reliably segments MRI image data and accurately delineate cartilage plates. We report an automated method for cartilage segmentation and definition of cartilage plates. We present a modified Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces (LOGISMOS) with a robust steerable-feature-based design and demonstrate improvements of segmentation accuracy. Our new method was tested on 60 data sets provided by the MICCAI segmentation challenge 2010. The mean and standard deviation of surface positioning errors are reported for individual cartilage plate regions.
Details
- Title: Subtitle
- Automated analysis of cartilage morphology
- Creators
- Satyananda Kashyap - University of IowaYin Yin - iCAD Inc.Milan Sonka - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 2013 IEEE 10th International Symposium on Biomedical Imaging, pp.1300-1303
- DOI
- 10.1109/ISBI.2013.6556770
- ISSN
- 1945-7928
- eISSN
- 1945-8452
- Publisher
- IEEE
- Language
- English
- Date published
- 04/2013
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186690402771
Metrics
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