Texture analysis of bone marrow in knee MRI for classification of subjects with bone marrow lesion - data from the Osteoarthritis Initiative.

[1]  P. Mahalanobis On the generalized distance in statistics , 1936 .

[2]  A. Wayne Whitney,et al.  A Direct Method of Nonparametric Measurement Selection , 1971, IEEE Transactions on Computers.

[3]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[4]  Jürgen Schürmann,et al.  Pattern classification , 2008 .

[5]  L. Bassett,et al.  Multifeature analysis of Gd‐enhanced MR images of breast lesions , 1997, Journal of magnetic resonance imaging : JMRI.

[6]  S. Majumdar,et al.  In Vivo High Resolution MRI of the Calcaneus: Differences in Trabecular Structure in Osteoporosis Patients , 1998, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[7]  G. McLachlan,et al.  Pattern Classification: A Unified View of Statistical and Neural Approaches. , 1998 .

[8]  P. Tofts,et al.  Texture analysis of spinal cord pathology in multiple sclerosis , 1999, Magnetic resonance in medicine.

[9]  Qiang Ji,et al.  Texture analysis for classification of cervix lesions , 2000, IEEE Transactions on Medical Imaging.

[10]  G. B. Pike,et al.  Texture analysis and morphological processing of magnetic resonance imaging assist detection of focal cortical dysplasia in extra‐temporal partial epilepsy , 2001, Annals of neurology.

[11]  S. Majumdar,et al.  Structure Analysis of High Resolution Magnetic Resonance Imaging of the Proximal Femur: In Vitro Correlation with Biomechanical Strength and BMD , 2003, Calcified Tissue International.

[12]  Ernst J. Rummeny,et al.  Application of the standard Hough-transform to high resolution MRI of human trabecular bone to predict mechanical strength , 2003, SPIE Medical Imaging.

[13]  A. Cotten,et al.  Trabecular bone structure of the calcaneus: preliminary in vivo MR imaging assessment in men with osteoporosis. , 2003, Radiology.

[14]  S. Majumdar,et al.  Local 3D Scaling Properties for the Analysis of Trabecular Bone Extracted from High-Resolution Magnetic Resonance Imaging of Human Trabecular Bone: Comparison with Bone Mineral Density in the Prediction of Biomechanical Strength In Vitro , 2003, Investigative radiology.

[15]  C. Peterfy MRI of the wrist in early rheumatoid arthritis , 2004, Annals of the rheumatic diseases.

[16]  F. Cendes,et al.  Texture analysis of medical images. , 2004, Clinical radiology.

[17]  Roland Meizer,et al.  Computer-assisted quantitative analysis of bone marrow edema of the knee: initial experience with a new method. , 2004, AJR. American journal of roentgenology.

[18]  H. Genant,et al.  Whole-Organ Magnetic Resonance Imaging Score (WORMS) of the knee in osteoarthritis. , 2004, Osteoarthritis and cartilage.

[19]  Ernst J. Rummeny,et al.  Application of the Minkowski functionals in 3D to high-resolution MR images of trabecular bone: prediction of the biomechanical strength by nonlinear topological measures , 2004, SPIE Medical Imaging.

[20]  Andrzej Materka,et al.  Texture analysis for tissue discrimination on T1‐weighted MR images of the knee joint in a multicenter study: Transferability of texture features and comparison of feature selection methods and classifiers , 2005, Journal of magnetic resonance imaging : JMRI.

[21]  Roberto A. Monetti,et al.  Structural analysis of human proximal femur for the prediction of biomechanical strength in vitro: the locally adapted scaling vector method , 2005, SPIE Medical Imaging.

[22]  Ernst J. Rummeny,et al.  Optimizing texture measures quantifying bone structures as well as MR-sequences at 3 Tesla: an integrative statistical approach , 2006, SPIE Medical Imaging.

[23]  T. M. Link,et al.  The 3D-based scaling index algorithm: a new structure measure to analyze trabecular bone architecture in high-resolution MR images in vivo , 2006, Osteoporosis International.

[24]  R I Kitney,et al.  An MRI derived articular cartilage visualization framework. , 2007, Osteoarthritis and cartilage.

[25]  A Guermazi,et al.  MRI-detected subchondral bone marrow signal alterations of the knee joint: terminology, imaging appearance, relevance and radiological differential diagnosis. , 2009, Osteoarthritis and cartilage.

[26]  Michal Strzelecki,et al.  MaZda - A software package for image texture analysis , 2009, Comput. Methods Programs Biomed..

[27]  M. Viergever,et al.  Validation of a Novel Semiautomated Segmentation Method for MRI Detection of Cartilage-Related Bone Marrow Lesions , 2010, Cartilage.

[28]  Brian B. Avants,et al.  N4ITK: Improved N3 Bias Correction , 2010, IEEE Transactions on Medical Imaging.

[29]  H. Bassiouni Bone marrow lesions in the knee: the clinical conundrum , 2010, International journal of rheumatic diseases.

[30]  Ws. Rasband ImageJ, U.S. National Institutes of Health, Bethesda, Maryland, USA , 2011 .