Accession Number:

ADA183639

Title:

Reconstruction of Tomographic Images from Sparse Data Sets By a New Finite Element Maximum Entropy Approach.

Descriptive Note:

Technical rept. 1984-1986,

Corporate Author:

ARMY BALLISTIC RESEARCH LAB ABERDEEN PROVING GROUND MD

Personal Author(s):

• Smith,R. T.
• Zoltani,Csaba K.
• Klem,G. J.

Report Date:

1987-04-07

Pagination or Media Count:

42.0

Abstract:

A new algorithm for the reconstruction of tomographic images from parse data sets is presented. A finite element technique was devised to solve the constrained optimization problem which resulted from the analysis using the maximum entropy formalism. The improvement in reconstruction image quality over conventional techniques is illustrated by several examples. Keywords Computed Tomography, Reconstruction, Image Analysis, Finite Element Method, Sparse Data Analysis, Image Reconstruction, Finite Element Method.

Descriptors:

• *COMPUTER APPLICATIONS
• *DATA PROCESSING
• *TOMOGRAPHY
• *IMAGE PROCESSING
• *ALGORITHMS
• DATA BASES
• FINITE ELEMENT ANALYSIS
• IMAGES
• OPTIMIZATION
• QUALITY
• TOMOGRAPHY

Subject Categories:

• Theoretical Mathematics
• Computer Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE