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A review of CT-based fracture risk assessment with finite element modeling and machine learning
Abstract Purpose of Review We reviewed advances over the past 3 years in assessment of
fracture risk based on CT scans, considering methods that use finite element models …
fracture risk based on CT scans, considering methods that use finite element models …
Finite element assessment of bone fragility from clinical images
E Schileo, F Taddei - Current Osteoporosis Reports, 2021 - Springer
Abstract Purpose of Review We re-evaluated clinical applications of image-to-FE models to
understand if clinical advantages are already evident, which proposals are promising, and …
understand if clinical advantages are already evident, which proposals are promising, and …
Bone Fracture Segmentation Using Cascaded Convolutional Neural Networks
In order to effectively treat bone fractures, an appropriate diagnosis must be made quickly
after the injury occurs. Medical picture segmentation is an area where deep learning …
after the injury occurs. Medical picture segmentation is an area where deep learning …
3D Finite Element Models Reconstructed From 2D Dual‐Energy X‐Ray Absorptiometry (DXA) Images Improve Hip Fracture Prediction Compared to Areal BMD in …
Bone strength is an important contributor to fracture risk. Areal bone mineral density (aBMD)
derived from dual‐energy X‐ray absorptiometry (DXA) is used as a surrogate for bone …
derived from dual‐energy X‐ray absorptiometry (DXA) is used as a surrogate for bone …
Optical remote sensing, brightness preserving and contrast enhancement of medical images using histogram equalization with minimum cross-entropy-Otsu algorithm
Medical pictures play a vital role in novel diagnosis; to achieve this, the quality of these
images must be improved in a way that meets the necessary standards. To deal with this …
images must be improved in a way that meets the necessary standards. To deal with this …
Development and validation of a semi-automated and unsupervised method for femur segmentation from CT
Quantitative computed tomography (QCT)-based in silico models have demonstrated
improved accuracy in predicting hip fractures with respect to the current gold standard, the …
improved accuracy in predicting hip fractures with respect to the current gold standard, the …
Cortical bone map** improves finite element strain prediction accuracy at the proximal femur
Despite evidence of the biomechanical role of cortical bone, current state of the art finite
element models of the proximal femur built from clinical CT data lack a subject-specific …
element models of the proximal femur built from clinical CT data lack a subject-specific …
[HTML][HTML] Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification
Morphological abnormalities of the femoroacetabular (hip) joint are among the most
common human musculoskeletal disorders and often develop asymptomatically at early …
common human musculoskeletal disorders and often develop asymptomatically at early …
Image-based finite-element modeling of the human femur
Fracture is considered a critical clinical endpoint in skeletal pathologies including
osteoporosis and bone metastases. However, current clinical guidelines are limited with …
osteoporosis and bone metastases. However, current clinical guidelines are limited with …
[HTML][HTML] Bone and joint enhancement filtering: Application to proximal femur segmentation from uncalibrated computed tomography datasets
Methods for reliable femur segmentation enable the execution of quality retrospective
studies and building of robust screening tools for bone and joint disease. An enhance-and …
studies and building of robust screening tools for bone and joint disease. An enhance-and …