Computerized medical imaging and graphics, 1995-03, Vol.19 (2), p.171-183
1995
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Details
- Autor(en) / Beteiligte
- Titel
- Segmentation and visualization of brain lesions in multispectral magnetic resonance images
- Ist Teil von
- Computerized medical imaging and graphics, 1995-03, Vol.19 (2), p.171-183
- Ort / Verlag
- New York, NY: Elsevier Ltd
- Erscheinungsjahr
- 1995
- Quelle
- Elsevier Journal Backfiles on ScienceDirect (DFG Nationallizenzen)
- Beschreibungen/Notizen
- In this study we focus on the problem of segmentation and visualization of soft tissue structures in three-dimensional (3D) magnetic resonance (MR) imaging. We introduce a classification method which is a combination of a recently proposed contour detection algorithm and Haslett's contextual classification method extended to 3D. This classification method is used in the classification step of a rendering model suggested by Drebin et al. for visualizing normal and pathological tissue structures in the brain. We evaluate the combination of these two methodologies, and identify some problems which have to be solved in order to develop a clinical useful tool.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0895-6111eISSN: 1879-0771DOI: 10.1016/0895-6111(94)00031-7Titel-ID: cdi_proquest_miscellaneous_77324697
- Format
- –
- Schlagworte
- Algorithms, Biological and medical sciences, Brain - anatomy & histology, Brain - pathology, Brain Diseases - diagnosis, Brain Diseases - pathology, Brain lesions, Brain Neoplasms - diagnosis, Brain Neoplasms - secondary, Carcinoma, Bronchogenic - diagnosis, Carcinoma, Bronchogenic - secondary, Contrast Media, Data Display, Gadolinium, Gadolinium DTPA, Humans, Image Enhancement - methods, Image Processing, Computer-Assisted - classification, Image Processing, Computer-Assisted - methods, Investigative techniques, diagnostic techniques (general aspects), Magnetic resonance imaging, Magnetic Resonance Imaging - classification, Magnetic Resonance Imaging - methods, Male, Medical sciences, Middle Aged, Miscellaneous. Technology, Organometallic Compounds, Pattern Recognition, Automated, Pentetic Acid - analogs & derivatives, Radiodiagnosis. Nmr imagery. Nmr spectrometry, Segmentation, Visualization