Visualization of Changes in Magnetic Resonance Image Data

Abstract

Computer assisted image fusion provides an easy and accurate way to interpret and compare medical image pairs. Subjective expectations of human interpretator become less important when pixel-by-pixel-variations are calculated by computer. The estimation of sizes and locations of the di erences also become more exact. We introduce new methods to visualize changes between images and present examples how they can be used to highlight contrast medium trace and to follow growth of brain tumor in MRI. The composite images created using these methods provide an illustrative way to discover faint or small-sized di erences between separate volumes.