SEGMENTATION

When a physician examines the content of radiographic imagery, many times they require delineation of anatomy, objects or pathology. Traditionally, this was completed with manual segmentation, which is labourious, time consuming and subject to intra and inter-operator bias. Automated segmentation schemes can offer quantitative and objective analysis of the images to identify and detect specific image objects and structures, which overcome all or many of the above challenges.

• Segmentation Applications for Medical Images
  • Histology segmentation (muscle from tumour)
  • Neuro MRI segmentation
  • Skull stripping
  • Anatomical segmentations
  • Segmentation of pathology

Anatomical segmentation in neuro MRI. Top row from left to right: original image, cerebrospinal fluid (CSF), gray matter (GM), white matter (WM), fat. Bottom row from left to right: muscle/skin, skin, skull, glial matter, background.