TY - JOUR
T1 - New iterative cone beam CT reconstruction software: parameter optimisation and convergence study
AU - Qiu, Wei
AU - Tong, Jenna
AU - Mitchell, Cathryn
AU - Marchant, T
AU - Spencer, Paul
AU - Moore, C J
AU - Soleimani, Manuchehr
PY - 2010/11
Y1 - 2010/11
N2 - Cone beam computed tomography (CBCT) provides a volumetric image reconstruction
from tomographic projection data. Image quality is the main concern
for reconstruction in comparison to conventional CT. The reconstruction algorithm
used is clearly important and should be carefully designed, developed and investigated
before it can be applied clinically. The Multi-Instrument Data Analysis System
(MIDAS) tomography software originally designed for geophysical applications
has been modified to CBCT image reconstruction. In CBCT reconstruction algorithms,
iterative methods offer the potential to generate high quality images and
would be an advantage especially for limited projection data. In this paper detailed
studies of the CBCT iterative algorithms encapsulated in MIDAS are presented.Stability, convergence
rate, quality of reconstructed image and edge recovery are
suggested as the main criteria for monitoring reconstructive performance. Accordingly,
the selection of relaxation parameter and number of iterations are studied in
detail. Results are presented, where images are reconstructed from full and limited
but evenly sampled cone beam CT projection data using iterative algorithms.
Various iterative algorithms have been implemented and the best selection of the
iteration number and relaxation parameters are investigated for ART. Optimal parameters
are chosen where the errors in projected data as well as image errors
are minimal.
AB - Cone beam computed tomography (CBCT) provides a volumetric image reconstruction
from tomographic projection data. Image quality is the main concern
for reconstruction in comparison to conventional CT. The reconstruction algorithm
used is clearly important and should be carefully designed, developed and investigated
before it can be applied clinically. The Multi-Instrument Data Analysis System
(MIDAS) tomography software originally designed for geophysical applications
has been modified to CBCT image reconstruction. In CBCT reconstruction algorithms,
iterative methods offer the potential to generate high quality images and
would be an advantage especially for limited projection data. In this paper detailed
studies of the CBCT iterative algorithms encapsulated in MIDAS are presented.Stability, convergence
rate, quality of reconstructed image and edge recovery are
suggested as the main criteria for monitoring reconstructive performance. Accordingly,
the selection of relaxation parameter and number of iterations are studied in
detail. Results are presented, where images are reconstructed from full and limited
but evenly sampled cone beam CT projection data using iterative algorithms.
Various iterative algorithms have been implemented and the best selection of the
iteration number and relaxation parameters are investigated for ART. Optimal parameters
are chosen where the errors in projected data as well as image errors
are minimal.
UR - http://www.scopus.com/inward/record.url?scp=77956651370&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1016/j.cmpb.2010.03.012
U2 - 10.1016/j.cmpb.2010.03.012
DO - 10.1016/j.cmpb.2010.03.012
M3 - Article
VL - 100
SP - 166
EP - 174
JO - Computer Methods and Programs in Biomedicine
JF - Computer Methods and Programs in Biomedicine
IS - 2
ER -