A review of CT-based fracture risk assessment with finite element modeling and machine learning

I Fleps, EF Morgan - Current osteoporosis reports, 2022 - Springer
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 …

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 …

Bone Fracture Segmentation Using Cascaded Convolutional Neural Networks

R Mittal, V Malik, M Kumar, P Chaturvedi… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
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 …

3D Finite Element Models Reconstructed From 2D Dual‐Energy X‐Ray Absorptiometry (DXA) Images Improve Hip Fracture Prediction Compared to Areal BMD in …

L Grassi, SP Väänänen, L Jehpsson… - Journal of Bone and …, 2023 - academic.oup.com
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 …

Optical remote sensing, brightness preserving and contrast enhancement of medical images using histogram equalization with minimum cross-entropy-Otsu algorithm

Y Mousania, S Karimi, A Farmani - Optical and Quantum Electronics, 2023 - Springer
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 …

Development and validation of a semi-automated and unsupervised method for femur segmentation from CT

A Aldieri, R Biondi, AA La Mattina, JA Szyszko… - Scientific Reports, 2024 - nature.com
Quantitative computed tomography (QCT)-based in silico models have demonstrated
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

E Schileo, J Pitocchi, C Falcinelli, F Taddei - Bone, 2020 - Elsevier
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 …

[HTML][HTML] Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification

IEI Bekkouch, B Maksudov, S Kiselev, T Mustafaev… - Medical Image …, 2022 - Elsevier
Morphological abnormalities of the femoroacetabular (hip) joint are among the most
common human musculoskeletal disorders and often develop asymptomatically at early …

Image-based finite-element modeling of the human femur

C Falcinelli, C Whyne - Computer Methods in Biomechanics and …, 2020 - Taylor & Francis
Fracture is considered a critical clinical endpoint in skeletal pathologies including
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

BA Besler, AS Michalski, MT Kuczynski, A Abid… - Medical image …, 2021 - Elsevier
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 …