AIMC Topic: Tibia
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Combining wearable sensor signals, machine learning and biomechanics to estimate tibial bone force and damage during running.
Human movement science
Oct 22, 2020
There are tremendous opportunities to advance science, clinical care, sports performance, and societal health if we are able to develop tools for monitoring musculoskeletal loading (e.g., forces on bones or muscles) outside the lab. While wearable se...
Advancements in sex estimation using the diaphyseal cross-sectional geometric properties of the lower and upper limbs.
International journal of legal medicine
Oct 8, 2020
This paper introduces an automated method for estimating sex from the lower and upper limbs based on diaphyseal CSG properties. The proposed method was developed and evaluated using 389 femurs, 412 tibias, and 404 humeri of adult individuals from a m...
Artificial intelligence for interpretation of segments of whole body MRI in CNO: pilot study comparing radiologists versus machine learning algorithm.
Pediatric rheumatology online journal
Jun 9, 2020
BACKGROUND: To initiate the development of a machine learning algorithm capable of comparing segments of pre and post pamidronate whole body MRI scans to assess treatment response and to compare the results of this algorithm with the analysis of a pa...
Pilot Projects
Adolescent
Treatment Outcome
Support Vector Machine
Artificial Intelligence
Machine Learning
Sensitivity and Specificity
Disease Progression
Tibia
Bone Density Conservation Agents
Femur
Whole Body Imaging
Magnetic Resonance Imaging
Chronic Disease
Radiologists
Image Interpretation, Computer-Assisted
Humans
Osteitis
Pamidronate
Generative approach for data augmentation for deep learning-based bone surface segmentation from ultrasound images.
International journal of computer assisted radiology and surgery
May 12, 2020
PURPOSE: Precise localization of cystic bone lesions is crucial for osteolytic bone tumor surgery. Recently, there is a move toward ultrasound imaging over plain radiographs (X-rays) for intra-operative navigation due to the radiation-free and cost-e...
Automating three-dimensional osteoarthritis histopathological grading of human osteochondral tissue using machine learning on contrast-enhanced micro-computed tomography.
Osteoarthritis and cartilage
May 11, 2020
OBJECTIVE: To develop and validate a machine learning (ML) approach for automatic three-dimensional (3D) histopathological grading of osteochondral samples imaged with contrast-enhanced micro-computed tomography (CEμCT).
Decoding rejuvenating effects of mechanical loading on skeletal aging using in vivo μCT imaging and deep learning.
Acta biomaterialia
Feb 11, 2020
Throughout the process of aging, dynamic changes of bone material, micro- and macro-architecture result in a loss of strength and therefore in an increased likelihood of fragility fractures. To date, precise contributions of age-related changes in bo...
Growth Factor Delivery for the Repair of a Critical Size Tibia Defect Using an Acellular, Biodegradable Polyethylene Glycol-Albumin Hydrogel Implant.
ACS biomaterials science & engineering
Nov 5, 2019
Growth factor delivery using acellular matrices presents a promising alternative to current treatment options for bone repair in critical-size injuries. However, supra-physiological doses of the factors can introduce safety concerns that must be alle...
Effect of surgical parameters on the biomechanical behaviour of bicondylar total knee endoprostheses - A robot-assisted test method based on a musculoskeletal model.
Scientific reports
Oct 10, 2019
The complicated interplay of total knee replacement (TKR) positioning and patient-specific soft tissue conditions still causes a considerable number of unsatisfactory outcomes. Therefore, we deployed a robot-assisted test method, in which a six-axis ...
CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE).
IEEE transactions on medical imaging
Jun 14, 2019
In this paper, we present a semi-supervised deep learning approach to accurately recover high-resolution (HR) CT images from low-resolution (LR) counterparts. Specifically, with the generative adversarial network (GAN) as the building block, we enfor...
Total Knee Arthroplasty Is Safe and Successful in Patients With Klippel-Trénaunay Syndrome.
The Journal of arthroplasty
Dec 22, 2018
BACKGROUND: Klippel-Trénaunay syndrome (KTS) is a severe vascular malformation that can lead to hypertrophic osteoarthritis. Total knee arthroplasty (TKA) performed in extremities affected with KTS is challenging given the high-risk vascular consider...
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