You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
26 June 1992Image registration of multimodality 3-D medical images by chamfer matching
Images from computed tomography (CT), magnetic resonance (MR) imaging, positron emission tomography (PET), and single photon emission computed tomography (SPECT), etc., provide complementary characteristic and diagnostic information. A parametric Chamfer Matching method is used for fast and accurate registration of the images from different medical imaging modalities. Surfaces are initially extracted from two images to be matched using semi-automatic segmentation software, and then these surfaces are used as common features to be matched. A distance transformation is performed for one surface image, and an error function is developed using the distance-image to evaluate the matching error. The geometric transformation includes three-dimensional translation, rotation, and scaling parameters to accommodate images of different position, orientation, and size. The matching process involves searching the multi-parameter space to find the fit which will minimize the error function. The local minima problem is addressed by using a large number of starting points. A pyramid multiresolution approach is employed to speed up both the distance transformation and the multi-parameter minimization processes. Robustness in handling noise is enhanced by using multiple thresholds approach imbedded in the multi-resolution process. Human intervention is not necessary.
The alert did not successfully save. Please try again later.
Hongjian Jiang, Kerrie S. Holton, Richard A. Robb, "Image registration of multimodality 3D medical images by chamfer matching," Proc. SPIE 1660, Biomedical Image Processing and Three-Dimensional Microscopy, (26 June 1992); https://doi.org/10.1117/12.59565