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Title: A novel iterative optimizing quantization technique for three-dimensional reconstruction from a limited number of views

Abstract

The Iterative Optimizing Quantization Technique (IOQT) is a novel method in reconstructing three-dimensional images from a limited number of two-dimensional projections. IOQT reduces the artifacts and image distortion due to a limited number of projections and limited range of viewing angles. IOQT, which reduces the number of projections required for reconstruction, can simplify the complexity of an experimental set-up and support the development of techniques to nondestructively image microstructures of materials without the problems of chemical changes or damage. In this paper, we will demonstrate the capability of IOQT in reconstruction of an image from four projections. The advantage of IOQT in using a limited number of arbitrary-angled projections and the possibility of modification of IOQT are also mentioned.

Authors:
; ; ;  [1];  [2];  [3]
  1. Lawrence Livermore National Lab., CA (United States)
  2. California Univ., Davis, CA (United States). Dept. of Applied Science
  3. Univ. of California, Davis, CA (United States). Dept. of Electrical Engineering
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
205198
Report Number(s):
UCRL-JC-121137; CONF-950793-53
ON: DE96007555
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Conference
Resource Relation:
Conference: 40. annual meeting of the Society of Photo-Optical Instrumentation Engineers, San Diego, CA (United States), 9-14 Jul 1995; Other Information: PBD: 14 Jun 1995
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING NOT INCLUDED IN OTHER CATEGORIES; 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; TOMOGRAPHY; ITERATIVE METHODS; THREE-DIMENSIONAL CALCULATIONS; IMAGE PROCESSING; ALGORITHMS; COMPUTERIZED TOMOGRAPHY; EFFICIENCY; MATHEMATICAL MODELS

Citation Formats

Lee, H -R, DaSilva, L, Haddad, L, Trebes, J, Yeh, Y, and Ford, G. A novel iterative optimizing quantization technique for three-dimensional reconstruction from a limited number of views. United States: N. p., 1995. Web.
Lee, H -R, DaSilva, L, Haddad, L, Trebes, J, Yeh, Y, & Ford, G. A novel iterative optimizing quantization technique for three-dimensional reconstruction from a limited number of views. United States.
Lee, H -R, DaSilva, L, Haddad, L, Trebes, J, Yeh, Y, and Ford, G. Wed . "A novel iterative optimizing quantization technique for three-dimensional reconstruction from a limited number of views". United States. https://www.osti.gov/servlets/purl/205198.
@article{osti_205198,
title = {A novel iterative optimizing quantization technique for three-dimensional reconstruction from a limited number of views},
author = {Lee, H -R and DaSilva, L and Haddad, L and Trebes, J and Yeh, Y and Ford, G},
abstractNote = {The Iterative Optimizing Quantization Technique (IOQT) is a novel method in reconstructing three-dimensional images from a limited number of two-dimensional projections. IOQT reduces the artifacts and image distortion due to a limited number of projections and limited range of viewing angles. IOQT, which reduces the number of projections required for reconstruction, can simplify the complexity of an experimental set-up and support the development of techniques to nondestructively image microstructures of materials without the problems of chemical changes or damage. In this paper, we will demonstrate the capability of IOQT in reconstruction of an image from four projections. The advantage of IOQT in using a limited number of arbitrary-angled projections and the possibility of modification of IOQT are also mentioned.},
doi = {},
url = {https://www.osti.gov/biblio/205198}, journal = {},
number = ,
volume = ,
place = {United States},
year = {1995},
month = {6}
}

Conference:
Other availability
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