Graphical representation of the whole sequentially MRI images in a single view image sequences of human's whole head

• Main Authors: Varin Chouvatut, Ekkarat Boonchieng
• Format: Conference Proceeding
• Published: 2018
• Subjects: Computer Science
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85031725274&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/57061
• Institution: Chiang Mai University

© 2017 IEEE. Typically, a sequence of the Magnetic Resonance Imaging (MRI) images is composed of a certain number of images projecting some internal organs of a human, such as brain and eyeballs of the human's head, which is the case chosen for our demonstration. Each of MRI images in the sequence presents only a thin layer of the whole head. The image processing techniques proposed in this paper aims to allow all such sequential images to be visible through a single view. In other words, the whole head of a human can be visible in just one image and thus looks as a three-dimensional view of the head. Unfortunately, there may be some deviation in positions even between contiguous images in the sequence. Centroid of the human's head appeared in each image should be measured. To ensure a centroid's position is estimated well enough so that centroids of all sequential images are not so much deviated from each other, searching for the centroid of a human's whole head is done based on an approximate convex shape rather than a circular shape as usual. From our experimental results, there is no significant deviation of centroids between contiguous frames as expected.