AIMC Topic: Cancellous Bone

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A deep learning-based approach to automatic proximal femur segmentation in quantitative CT images.

Medical & biological engineering & computing Mar 24, 2022
Automatic CT segmentation of proximal femur has a great potential for use in orthopedic diseases, especially in the imaging-based assessments of hip fracture risk. In this study, we proposed an approach based on deep learning for the fast and automat...
Neural Networks, Computer Tomography, X-Ray Computed Femur Cancellous Bone Deep Learning Image Processing, Computer-Assisted
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Can DXA image-based deep learning model predict the anisotropic elastic behavior of trabecular bone?

Journal of the mechanical behavior of biomedical materials Sep 15, 2021
3D image-based finite element (FE) and bone volume fraction (BV/TV)/fabric tensor modeling techniques are currently used to determine the apparent stiffness tensor of trabecular bone for assessing its anisotropic elastic behavior. Inspired by the rec...
Anisotropy Cancellous Bone Deep Learning Humans Absorptiometry, Photon Bone Density Finite Element Analysis X-Ray Microtomography
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Trabeculae microstructure parameters serve as effective predictors for marginal bone loss of dental implant in the mandible.

Scientific reports Oct 28, 2020
Marginal bone loss (MBL) is one of the leading causes of dental implant failure. This study aimed to investigate the feasibility of machine learning (ML) algorithms based on trabeculae microstructure parameters to predict the occurrence of severe MBL...
Mandible Logistic Models Case-Control Studies Prosthesis Failure Cancellous Bone Support Vector Machine Dental Implants Neural Networks, Computer Female Cross-Sectional Studies Male Humans Bone Resorption
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Parametric investigation of the effects of load level on fatigue crack growth in trabecular bone based on artificial neural network computation.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine May 21, 2020
This study reports the development of an artificial neural network computation model to predict the accumulation of crack density and crack length in cancellous bone under a cyclic load. The model was then applied to conduct a parametric investigatio...
Cancellous Bone Elastic Modulus Materials Testing Stress, Mechanical X-Ray Microtomography Weight-Bearing Humans Bone Density Neural Networks, Computer Fractures, Bone
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Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches.

Dento maxillo facial radiology Jun 8, 2016
OBJECTIVES: This study proposed a new automated screening system based on a hybrid genetic swarm fuzzy (GSF) classifier using digital dental panoramic radiographs to diagnose females with a low bone mineral density (BMD) or osteoporosis.
Osteoporosis, Postmenopausal Fractals Diagnosis, Computer-Assisted Cortical Bone Female Algorithms Cancellous Bone Mandible Bone Density Aged Humans Bone Diseases, Metabolic Middle Aged Aged, 80 and over Femur Neck Lumbar Vertebrae Sensitivity and Specificity Image Processing, Computer-Assisted Fuzzy Logic Predictive Value of Tests Radiography, Panoramic
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