RATIONALE AND OBJECTIVES: A novel, nonlinear morphologic measure [DeltaP(alpha)] based on local 3D scaling properties was applied to high-resolution magnetic resonance images (HR-MRI) of human trabecular bone to predict biomechanical strength in vitro. METHODS: We extracted DeltaP(alpha) and traditional morphologic parameters (apparent trabecular volume fraction, apparent trabecular separation) from HR-MR images of 32 femoral and 13 spinal bone specimens. Furthermore, bone mineral density (BMD) and maximum compressive strength (MCS) were determined. The morphologic measures were compared with BMD in predicting the biomechanical strength. RESULTS: In the vertebral (femoral) specimens, R2 for MCS versus DeltaP(alpha) was 0.87 (0.61) (P < 0.001). Correlation between BMD and MCS was 0.53 (P = 0.05) (0.79 [P < 0.001]) for the vertebral (femoral) specimens. For the femoral specimens, prediction of MCS could be improved further by combining BMD and morphologic parameters by multiple regression (R2 = 0.88). CONCLUSIONS: Morphologic measures extracted from HR-MRI considering local 3D-scaling properties can be used to predict biomechanical properties of bone in vitro. They are superior to 2-dimensional standard linear morphometric measures and, depending on the anatomic location, more reliably predict bone strength as measured by MCS than does BMD.
RATIONALE AND OBJECTIVES: A novel, nonlinear morphologic measure [DeltaP(alpha)] based on local 3D scaling properties was applied to high-resolution magnetic resonance images (HR-MRI) of human trabecular bone to predict biomechanical strength in vitro. METHODS: We extracted DeltaP(alpha) and traditional morphologic parameters (apparent trabecular volume fraction, apparent trabecular separation) from HR-MR images of 32 femoral and 13 spinal bone specimens. Furthermore, bone mineral density (BMD) and maximum compressive strength (MCS) were determined. The morphologic measures were compared with BMD in predicting the biomechanical strength. RESULTS: In the vertebral (femoral) specimens, R2 for MCS versus DeltaP(alpha) was 0.87 (0.61) (P < 0.001). Correlation between BMD and MCS was 0.53 (P = 0.05) (0.79 [P < 0.001]) for the vertebral (femoral) specimens. For the femoral specimens, prediction of MCS could be improved further by combining BMD and morphologic parameters by multiple regression (R2 = 0.88). CONCLUSIONS: Morphologic measures extracted from HR-MRI considering local 3D-scaling properties can be used to predict biomechanical properties of bone in vitro. They are superior to 2-dimensional standard linear morphometric measures and, depending on the anatomic location, more reliably predict bone strength as measured by MCS than does BMD.
Authors: Ahi S Issever; Thomas M Link; Marie Kentenich; Patrik Rogalla; Karsten Schwieger; Markus B Huber; Andrew J Burghardt; Sharmila Majumdar; Gerd Diederichs Journal: J Bone Miner Res Date: 2009-09 Impact factor: 6.741
Authors: Mahesh B Nagarajan; Paola Coan; Markus B Huber; Paul C Diemoz; Christian Glaser; Axel Wismüller Journal: J Digit Imaging Date: 2014-02 Impact factor: 4.056
Authors: Mahesh B Nagarajan; Paola Coan; Markus B Huber; Paul C Diemoz; Christian Glaser; Axel Wismüller Journal: Proc SPIE Int Soc Opt Eng Date: 2013-03-29
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Authors: Mahesh B Nagarajan; Paola Coan; Markus B Huber; Paul C Diemoz; Axel Wismüller Journal: Med Biol Eng Comput Date: 2015-07-04 Impact factor: 2.602
Authors: Anas Z Abidin; Mahesh B Nagarajan; Walter A Checefsky; Paola Coan; Paul C Diemoz; Susan K Hobbs; Markus B Huber; Axel Wismüller Journal: Proc SPIE Int Soc Opt Eng Date: 2015-03-19
Authors: H F Boehm; J Lutz; A Horng; M Notohamiprodjo; A Panteleon; K-J Pfeifer; M Reiser Journal: Osteoporos Int Date: 2008-08-07 Impact factor: 4.507
Authors: T Baum; J Carballido-Gamio; M B Huber; D Müller; R Monetti; C Räth; F Eckstein; E M Lochmüller; S Majumdar; E J Rummeny; T M Link; J S Bauer Journal: Osteoporos Int Date: 2009-10-27 Impact factor: 4.507