OBJECTIVES Reusing baseline volumes of interest (VOI) by applying non-rigid and to some extent (local) rigid image registration showed good test-retest variability similar to delineating VOI on both scans individually. The aim of the present study was to compare response assessments and classifications based on various types of image registration with those based on (semi)-automatic tumour deli...

Non-rigid image registration of chest CT images acquired at different breathing stages is often necessary in today’s medical practice. Current algorithms take little consideration of physical characteristics of the different tissues during the registration process. In earlier work, we have presented a registration framework based on the elastic transformation model that incorporated additional ...

In this paper we present a robust method for simultaneous registration of multiple 3D scans. Rigid registration is an important task in many applications such as surface reconstruction, navigation and computer aided design. The goal of 3-D (rigid) registration is to align surfaces through a (rigid) transformation. A large number of existing registration algorithms are dependent on finding match...

In this work, thirteen image-pairs, composed of a color fundus photograph and a scanning laser ophthalmoscope fluorescein angiography (SLO.FA), were registered by rigid, non-rigid and deformable image registration procedures to assess the need for deformable image registration methods when using SLO.FAmodalities. Each registration was quantitatively assessed by three different metrics that show...