Automatic identification of tissue interfaces

Author

Rusinek, Henry

Author_Institution

Dept. of Radiol., New York Univ. Sch. of Med., NY, USA

fYear

1989

fDate

9-12 Nov 1989

Firstpage

1924

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEMBS.1989.96526

Filename

96526

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1884641