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Computational and Mathematical Methods in Medicine
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Computational and Mathematical Methods in Medicine
/
2015
/
Article
/
Alg 1
Research Article
A Model of Regularization Parameter Determination in Low-Dose X-Ray CT Reconstruction Based on Dictionary Learning
Algorithm 1
Workflow of the developed algorithm.
Determination of
Initialize
, and
.
While the stopping criterion is not satisfied, do
(1) Implement the OSC algorithm for acceleration;
(2) Extract patches from the intermediate image
;
(3) Update the dictionary
by K-SVD algorithm;
(4) Update the sparse coding
by OMP algorithm;
(5) Update the image
by (
25
) with
;
Output the final image
and relative error
calculated by (
26
).
When the iteration is stopped, determine
by (
27
).
Image Reconstruction
Initialize
, and
,
is determined in former step.
While the stopping criterion is not satisfied, do
(1) Implement the OSC algorithm for acceleration;
(2) Extract patches from the intermediate image
;
(3) Update the dictionary
by K-SVD algorithm;
(4) Update the sparse coding
by OMP algorithm;
(5) Update the image
by (
23
),
;
Output the final reconstruction.