Researchers at Arizona State University have developed a novel computational algorithm that can automatically obtain the court of dots on an image, including for example the glomerular count from the kidney MRI images. The new technique adopts a patch-based processing approach and builds graphs that describe the relations between glomerular and non-glomerular regions in a set of ground-truth images. The robustness of these graphs to intensity variations and measurement noise is improved by building them using a non-local approach based on sparse representations. The final glomerular identification is performed using simple clustering procedures on the low-dimensional embedding of patches.
- Counting objects on images
- Medical imaging
- Medical resonance imaging (MRI)
- Computed tomography (CT)
Benefits and Advantages
- Robust – Graphs are robust to intensity-variations across several images by adopting a non-local, subspace based approach.
- Fast – New technique can process 5 images per second.
- Simple – new technique provides for automatically determining the number of dots from images.
For more information about the inventor(s) and their research, please see
Dr. Andreas Spanias' directory webpage