Bone labelling on micro-magnetic resonance images
| Autor: | Theocharis Antoniadis, Patrick Gonord, Geneviève Guillot, Jean-Pierre Ruaud, Jean-Pierre Scarpelli |
|---|---|
| Rok vydání: | 2000 |
| Předmět: |
medicine.medical_specialty
genetic structures Computer science Osteoporosis Health Informatics Relaxation labelling Models Biological Sensitivity and Specificity Accurate segmentation Bone and Bones Labelling medicine Humans Radiology Nuclear Medicine and imaging Segmentation Chi-Square Distribution Radiological and Ultrasound Technology medicine.diagnostic_test Reproducibility of Results Magnetic resonance imaging medicine.disease Image Enhancement Computer Graphics and Computer-Aided Design Thresholding Magnetic Resonance Imaging Trabecular bone Computer Vision and Pattern Recognition Radiology Algorithms Biomedical engineering |
| Zdroj: | Medical image analysis. 3(2) |
| ISSN: | 1361-8415 |
| Popis: | The study of trabecular bone is receiving increasing interest within the medical community working in the field of skeletal diseases, such as osteoporosis. Quantification of trabecular bone structure usually requires as a starting point a correct segmentation of the trabecular network. We have developed a probabilistic relaxation labelling technique, which uses local features of the trabecular bone images to improve segmentation. Tests on synthetic images show that bone labelling performs a more accurate segmentation than conventional techniques such as thresholding, especially by preserving the connectivity of the trabecular network. Tests on acquired data show that porosity values obtained after segmentation are in good agreement with experimental values obtained by weighing the bone samples. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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