Registration of 3D Medical Images Using Simple Morphological Tools
نویسندگان
چکیده
Multimodal medical images are often of too different a nature to be registered on the basis of the image grey values only. It is the purpose of this chapter to construct operators that extract similar structures from these images that will enable registration by simple grey value based methods, such as optimization of cross-correlation. These operators can be constructed using only basic morphological tools such as erosion and dilation. Simple versions of these operators are easily implemented on any computer system, and are very fast. We will show that accurate registration images of various modalities (MR, CT, SPECT and PET) can be obtained using this approach. 130 Registration of 3D Medical Images using Simple Morphological Tools
منابع مشابه
Jackknifing a Normal Database for Regional Cerebral Blood Flow SPECT Obtained Using Principal Components
Continuous Gaussian Mixture Modeling p. 176 New Statistical Models for RandomsPrecorrected PET Scans p. 190 Registration of 3D Medical Images Using Simple Morphological Tools p. 204 Deformation for ImageGuided Interventions Using a Three Component Tissue Model p. 218 Registration of Abdominal CT and SPECT Images Using Compton Scatter Data p. 232 Definition of Volume Transformations for Volume I...
متن کاملA Novel Subsampling Method for 3D Multimodality Medical Image Registration Based on Mutual Information
Mutual information (MI) is a widely used similarity metric for multimodality image registration. However, it involves an extremely high computational time especially when it is applied to volume images. Moreover, its robustness is affected by existence of local maxima. The multi-resolution pyramid approaches have been proposed to speed up the registration process and increase the accuracy of th...
متن کاملFusion and display of 3D SPECT and MR images registered by a surface fitting method
Since 3D medical images such as SPECT and MRI are taken under different patients positioning and imaging parameters, interpretation of them, as reconstructed originally, does not provide an easy and accurate understanding of similarities and differences between them. The problem becomes more crucial where a clinician would like to map accurately region of interest from one study to the ot...
متن کاملCombined Model-Based Segmentation and Elastic Registration for Accurate Quantification of the Aortic Arch
Accurate quantification of the morphology of vessels is important for diagnosis and treatment of cardiovascular diseases. We introduce a new approach for the quantification of the aortic arch morphology that combines 3D model-based segmentation with elastic image registration. The performance of the approach has been evaluated using 3D synthetic images and clinically relevant 3D CTA images incl...
متن کامل