A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
Lecture Notes in Computer Science
In spite of a huge body of work in medical image registration, there seems to be very little effort in Field of View (FOV) correction or anatomical overlap estimation especially for multi-modal studies. This is a key step for most registration algorithms to work on image volumes of different coverages. In this work, we consider the FOV correction problem between Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) image volumes for the same patient. A novel algorithm composed of adoi:10.1007/978-3-319-11752-2_35 fatcat:jzysgphhdjemtobhfpsh2agzaa