TY - JOUR
T1 - Effect of Statistically Iterative Image Reconstruction on Vertebral Bone Strength Prediction Using Bone Mineral Density and Finite Element Modeling
T2 - A Preliminary Study
AU - Anitha, D.
AU - Subburaj, Karupppasamy
AU - Kopp, Felix K.
AU - Mei, Kai
AU - Foehr, Peter
AU - Burgkart, Rainer
AU - Sollmann, Nico
AU - Maegerlein, Christian
AU - Kirschke, Jan S.
AU - Noel, Peter B.
AU - Baum, Thomas
N1 - Publisher Copyright:
© 2018 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Statistical iterative reconstruction (SIR) using multidetector computed tomography (MDCT) is a promising alternative to standard filtered back projection (FBP), because of lower noise generation while maintaining image quality. Hence, we investigated the feasibility of SIR in predicting MDCT-based bone mineral density (BMD) and vertebral bone strength from finite element (FE) analysis. The BMD and FE-predicted bone strength derived from MDCT images reconstructed using standard FBP (F FBP) and SIR with (F SIR) and without regularization (F SIRB0) were validated against experimental failure loads (F exp). Statistical iterative reconstruction produced the best quality images with regard to noise, signal-to-noise ratio, and contrast-to-noise ratio. F exp significantly correlated with F FBP, F SIR, and F SIRB0. F FBP had a significant correlation with F SIRB0 and F SIR. The BMD derived from FBP, SIRB0, and SIR were significantly correlated. Effects of regularization should be further investigated with FE and BMD analysis to allow for an optimal iterative reconstruction algorithm to be implemented in an in vivo scenario.
AB - Statistical iterative reconstruction (SIR) using multidetector computed tomography (MDCT) is a promising alternative to standard filtered back projection (FBP), because of lower noise generation while maintaining image quality. Hence, we investigated the feasibility of SIR in predicting MDCT-based bone mineral density (BMD) and vertebral bone strength from finite element (FE) analysis. The BMD and FE-predicted bone strength derived from MDCT images reconstructed using standard FBP (F FBP) and SIR with (F SIR) and without regularization (F SIRB0) were validated against experimental failure loads (F exp). Statistical iterative reconstruction produced the best quality images with regard to noise, signal-to-noise ratio, and contrast-to-noise ratio. F exp significantly correlated with F FBP, F SIR, and F SIRB0. F FBP had a significant correlation with F SIRB0 and F SIR. The BMD derived from FBP, SIRB0, and SIR were significantly correlated. Effects of regularization should be further investigated with FE and BMD analysis to allow for an optimal iterative reconstruction algorithm to be implemented in an in vivo scenario.
KW - computed tomography
KW - filtered back projection
KW - finite element analysis
KW - osteoporosis
KW - statistical iterative reconstruction
UR - http://www.scopus.com/inward/record.url?scp=85060044510&partnerID=8YFLogxK
U2 - 10.1097/RCT.0000000000000788
DO - 10.1097/RCT.0000000000000788
M3 - Article
C2 - 30211797
AN - SCOPUS:85060044510
SN - 0363-8715
VL - 43
SP - 61
EP - 65
JO - Journal of Computer Assisted Tomography
JF - Journal of Computer Assisted Tomography
IS - 1
ER -