Iterative optimizing quantization method for reconstructing three-dimensional images from a limited number of views

Patent · Wed Jan 01 00:00:00 EST 1997

OSTI ID:871242

Lee, Heung-Rae ^[1]

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1. Dublin, CA

A three-dimensional image reconstruction method comprises treating the object of interest as a group of elements with a size that is determined by the resolution of the projection data, e.g., as determined by the size of each pixel. One of the projections is used as a reference projection. A fictitious object is arbitrarily defined that is constrained by such reference projection. The method modifies the known structure of the fictitious object by comparing and optimizing its four projections to those of the unknown structure of the real object and continues to iterate until the optimization is limited by the residual sum of background noise. The method is composed of several sub-processes that acquire four projections from the real data and the fictitious object: generate an arbitrary distribution to define the fictitious object, optimize the four projections, generate a new distribution for the fictitious object, and enhance the reconstructed image. The sub-process for the acquisition of the four projections from the input real data is simply the function of acquiring the four projections from the data of the transmitted intensity. The transmitted intensity represents the density distribution, that is, the distribution of absorption coefficients through the object.

• Research Organization: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
• DOE Contract Number: W-7405-ENG-48
• Assignee: Regents of University of California (Oakland, CA)
• Patent Number(s): US 5689629
• OSTI ID: 871242
• Country of Publication: United States
• Language: English

Related Subjects

iterative
optimizing
quantization
method
reconstructing
three-dimensional
images
limited
views
image
reconstruction
comprises
treating
elements
size
determined
resolution
projection
data
pixel
projections
reference
fictitious
arbitrarily
defined
constrained
modifies
structure
comparing
continues
iterate
optimization
residual
background
noise
composed
sub-processes
acquire
generate
arbitrary
distribution
define
optimize
enhance
reconstructed
sub-process
acquisition
input
simply
function
acquiring
transmitted
intensity
represents
density
absorption
coefficients
three-dimensional images
method comprises
transmitted intensity
absorption coefficient
density distribution
background noise
method comprise
comprises treating
reconstructed image
image reconstruction
dimensional image
three-dimensional image
dimensional images
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