Using Imorphics machine vision technology, we have demonstrated fully-automated identification and segmentation of tissues such as bones, cartilage and other musculoskeletal tissues, sub-cortical brain tissues, prostate, liver, and other abdominal organs, skulls and sinuses with sub-voxel or sub-millimeter accuracy.
In segmentation performance, Imorphics have won all four of the MICCAI Grand Challenge segmentation competitions that they have entered:
2010: SK10 Knees Grand Challenge;
* Imorphics had done no previous work on either prostate or visceral images before developing winning solutions in less than two months.
In contrast with traditional approaches to image analysis, our statistical modelling technology outputs a dense set of real anatomical landmarks when a model is matched to an object in an image. This means that the shape and appearance of anatomical objects can be properly and rigorously compared across time points and human subjects. This enables the careful comparison of populations; identifying significant differences within a population as the disease progresses, or identifying shape differences based on gender, ethnicity, size and phenotype.