Automatic Intra-Modality 3D/3D Rigid Registration

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Rigid registration of sequentially acquired 3D imagesprovides valuable information to the physician fortherapy control. According to digital subtractionangiography we use subtracted volumes to visualizechanges. For instance longitudinal dependent tumorgrowth or regress needs to be quantified in manymedical diagnosis procedures. No commercial solutionfor hospitals supports the visualization of timedependent changes in mono modal imaging data yet.Current clinical practice requires a manual alignmentof subjectively corresponding pictures of thesequentially acquired 3D images. The clinicalworkflow can be significantly improved by anautomated 3D/3D rigid registration approach that isbased on voxel similarity measures and usesalgorithms of digital subtraction angiography thatallow the visualization of longitudinal tissuechanges. The work introduces a novel unbiasedapproach by application of transfer functions thatallows the improved rigid registrationof medical images with major non-rigiddeformations at the region of interest.