This project is about designing and implementing advanced image processing algorithms to analyse the video footage taken of a person's gastrointestinal (GI) tract. These image processing algorithms will constitute a unique, innovative & extremely complicated software programme to be used in conjunction with a pill camera. There are a number of challenges associated with this project; for example, we presently do not have a camera & sensor which can be introduced into the human body, so we will need to create an artificial lab environment in which we can capture accurate video footage for study. Another challenge is that we need to identify sensor technologies which are capable of capturing the required amount of detail in the video footage. If the camera cannot see clearly, and the images are not clear, then it will be next to impossible to write accurate algorithms that will distinguish pathological areas from healthy areas. Another challenge is that this software will have to translate a doctor's experience & expertise in recognizing & identifying pathological states in the colon. The challenge is to properly identify the abnormalities on the image itself, to identify an aspect of that abnormality that can be measured in some way, & to then write algorithms which interpret & identify those aspects of a suspected abnormality accurately enough to make a dependable reading of the video footage possible. The long-term goal is to be able to make an automatic diagnosis by swallowing a pill camera and using the diagnostic software.
Project leader: Jennifer Morrison
Institution: OMNIVISION TECHNOLOGIES NORWAY AS