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.
8 June 1988Information Extraction From Multi-Modality Medical Imaging
Two information. extraction methods were applied to selected diagnostic medical images obtained from different imaging. modalities. Sample images consisted of magnetic resonance tomograms, transmission computed tomograms, and emission computed tomograms of patients with focal and generalized brain abnormalities. Color composite analysis applied to image pairs afforded a limited but potentially useful approach to enable rapid, objective. depiction of relative and absolute contribu-tions from dualmodality parameters. Cluster analysis applied to image pairs or triplets was computationally more demanding, but this approach afforded a method for objective classification of tissues that could be generalized. Technical problems arise from patient factors and machine factors. Patient factors include motion and positioning. Machine factors include resolution, orientation, format, registration and scaling.
The alert did not successfully save. Please try again later.
Barry L Engeistad, Joseph Meyers, William A Hanson, William O'Connell, Robert C Taylor, Ralph Bernstein, "Information Extraction From Multi-Modality Medical Imaging," Proc. SPIE 0902, Three-Dimensional Imaging and Remote Sensing Imaging, (8 June 1988); https://doi.org/10.1117/12.944776