Improving Reliability and Performance of Voxel-Based Registration by Coincidence Thresholding and Volume Clipping
نویسندگان
چکیده
Two techniques supporting voxel-based image registration are described and their benefits evaluated. The first method explicitly computes the overlapping region of both images. For a set of test registrations, this was found to save 12.1% of total computation time (minimum 7.7% faster). Second, a novel thresholding scheme for increased robustness against image noise is presented. The proposed technique considers voxel pairs rather than model and reference voxel in separate. For PET to MRI registration, a reduction of maximum errors was found. No significant loss in accuracy and reliability was experienced for CT to MRI and MRI to MRI registration. The described thresholding method may therefore generally be applied to improve registration of noisy data without affecting the accuracy when only minor noise is present.
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