Title :
Automatic identification of tissue interfaces
Author_Institution :
Dept. of Radiol., New York Univ. Sch. of Med., NY, USA
Abstract :
A method for automatic identification of tissue interfaces from medical images has been developed and tested. The spatial gradient vector is constructed and expressed as a function G(ν) of tissue density. The relative maxima of G identify ranges of gray levels corresponding to tissue interfaces. These density ranges are then assigned full opacity and shaded. Examples of CT (computed tomography) and MR (magnetic resonance) scans demonstrate that the resulting visualization maintains all the advantages of the volume-rendering technique while eliminating the task of tissue classification
Keywords :
computerised picture processing; medical diagnostic computing; automatic identification of tissue interfaces; computed tomography scans; full opacity; gray level range; magnetic resonance scans; medical images; shaded; spatial gradient vector; tissue classification; tissue density; Biomedical imaging; Bones; Computed tomography; Histograms; Muscles; Neck; Neoplasms; Radiology; Skin; Visualization;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.96526
