8 September 1993 Evaluating the registration of multiparamater images
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Abstract
The great challenge in analyzing multiparameter images is to detect and analyze the patterns formed by the parameters in combination, and this requires that the images be in close registration. If they are misaligned non-linearly, as is often the case, particularly in medical diagnostic imaging, registration is a very difficult problem. In this paper we discuss various approaches to the assessment and correction of misregistrations among multiparameter images. We propose a technique that assess misregistrations using correlation computation and visualizes them using color and arrow displays. We demonstrate the technique with a medical case of CT and MR images; our technique shows misregistrations between images that were previously assumed to be in registration. The proposed technique provides a great potential for driving improved registration procedures, particularly in finding and correcting nonlinear effects.
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Ronald M. Pickett, Haim Levkowitz, David L. Gonthier, "Evaluating the registration of multiparamater images", Proc. SPIE 1913, Human Vision, Visual Processing, and Digital Display IV, (8 September 1993); doi: 10.1117/12.152731; https://doi.org/10.1117/12.152731
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