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Semi-automated image analysis of gel electrophoresis of cerebrospinal fluid for oligoclonal band detection
Archive ouverte : Communication dans un congrès
International audience. Detection of oligoclonal electrophoretic bands in cerebrospinal fluid (CSF) is an important diagnostic tool for Multiple Sclerosis (MS). Electrophoretic profiles are difficult to interpret due to low contrast and artefacts. A semi-automated method to ease analysis and to reduce subjectivity is presented. The method sequentially converts color images to grayscale, realigns bands, removes artifacts, then converts 2D images to a signal, before detecting, thresholding and editing peaks to optimize profiles. Such treated profiles (21 positive and 15 negative) are compared to ground truth analysis of an expert biologist. 16 profiles over 21 are well detected positive and 12 profiles over 15 are detected negative, results seem similar to inter-experts variability reported in literature.
- Sujets
- Gray-scale
- Immune system
- Fluids
- Image color analysis
- DNA
- biomedical optical imaging
- brain
- electrophoresis
- image colour analysis
- medical image processing
- neurophysiology
- optimisation
- semiautomated image analysis
- gel electrophoresis
- cerebrospinal fluid
- oligoclonal electrophoretic band detection
- diagnostic tool
- electrophoretic profiles
- color images
- grayscale
- artifact removal
- band realignment
- 2D images
- profile optimization
- ground truth analysis
- interexperts variability
- Distortion
- Biomembranes
- MESH: Artifacts
- MESH: Cerebrospinal Fluid
- MESH: Color
- MESH: Electrophoresis
- MESH: Agar Gel
- MESH: Image Processing
- MESH: Humans
- MESH: Computer-Assisted
- MESH: Oligoclonal Bands
- MESH: Multiple Sclerosis
- [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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