The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 08, 2000

Filed:

May. 27, 1998
Applicant:
Inventors:

Aleksandar Zavaljevski, Waukesha, WI (US);

Christopher J Mussack, Waukesha, WI (US);

David M Deaven, Waukesha, WI (US);

Assignee:

General Electric Company, Milwaukee, WI (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61B / ; G01N / ;
U.S. Cl.
CPC ...
378-4 ; 378 62 ; 378 982 ;
Abstract

The present invention, in one form, includes methods and apparatus for altering the spatial characteristics of a digital image collected in a CT system using a real-time magnification algorithm. In accordance with one embodiment of the algorithm, once the digital image is collected, an enlarged image is generated by interpolating and filtering the original digital image data. In one aspect, two pass linear interpolation and one dimensional filtering is utilized to generate the enlarged image. The first pass performs interpolation in the x direction and the second pass performs interpolation in the y direction. The interpolations in the x and y directions are performed in two steps. Initially, linear interpolation is applied to the original digital image to generate interpolated data. A one dimensional convolution filter is then applied to the interpolated data. Utilizing this process, a high quality enlarged image may be generated for any integer zoom factor. In another aspect of the present invention, a two step procedure of interpolation and two dimensional filtering is utilized. The first step performs bilinear interpolation of the digital image to generate interpolated data. The interpolated data is then filtered by a two dimensional convolution filter.


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