Results 81 to 90 of about 621,423 (276)
OSSO: Obtaining Skeletal Shape from Outside [PDF]
arXiv, 2022 We address the problem of inferring the anatomic skeleton of a person, in an arbitrary pose, from the 3D surface of the body; i.e. we predict the inside (bones) from the outside (skin). This has many applications in medicine and biomechanics. Existing state-of-the-art biomechanical skeletons are detailed but do not easily generalize to new subjects ...
arxiv
Pilates Mat and body composition of postmenopausal women [PDF]
, 2017 El objetivo de este trabajo es cuantificar, mediante Absorciometría Dual Fotónica de Rayos- X (DXA), las modificaciones de la composición corporal que la práctica de Pilates Mat produce en mujeres posmenopaúsicas de vida sedentaria.
Aguado-Henche, S. +2 more
core +2 more sources
Journal of Public Health Dentistry, Volume 84, Issue 4, Page 428-438, Autumn 2024.Abstract Objectives To assess the relationships between longitudinal fluoride intakes and bone densitometry outcomes in young adults. Methods Data were analyzed from the Iowa Fluoride Study and Iowa Bone Development Study, which followed 1,882 infants from birth in 1992.
Gurjot Kaur Bhatia +6 more
wiley +1 more source
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior [PDF]
arXiv, 2023 Medical images are generally acquired with limited field-of-view (FOV), which could lead to incomplete regions of interest (ROI), and thus impose a great challenge on medical image analysis. This is particularly evident for the learning-based multi-target landmark detection, where algorithms could be misleading to learn primarily the variation of ...
arxiv
Medical Physics, Volume 51, Issue 11, Page 8213-8231, November 2024.Abstract Background Forty to fifty percent of women and 13%–22% of men experience an osteoporosis‐related fragility fracture in their lifetimes. After the age of 50 years, the risk of hip fracture doubles in every 10 years. x‐Ray based DXA is currently clinically used to diagnose osteoporosis and predict fracture risk.
Xiaoliu Zhang +8 more
wiley +1 more source
MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume [PDF]
arXiv, 2023 Musculoskeletal diseases such as sarcopenia and osteoporosis are major obstacles to health during aging. Although dual-energy X-ray absorptiometry (DXA) and computed tomography (CT) can be used to evaluate musculoskeletal conditions, frequent monitoring is difficult due to the cost and accessibility (as well as high radiation exposure in the case of CT)
arxiv
Preliminary study on the assessment of visceral adipose tissue using dual-energy x-ray absorptiometry in chronic obstructive pulmonary disease [PDF]
, 2016 Background: Visceral adipose tissue (VAT) was shown to be increased in patients with chronic obstructive pulmonary disease (COPD) compared to control subjects with comparable body mass index (BMI).
Emiel F. M. Wouters +7 more
core +2 more sources
Dual Photon Absorptiometry: Validation of Mineral and Fat Measurements [PDF]
, 1990 Photons passing through human tissue undergo attenuation in relation to the specific chemical substances with which they interact. Soft tissues, consisting largely of water and organic compounds, reduce photon flux to a lesser extent than bone mineral, which contains the intermediate-Z element calcium.
Jack Wang +8 more
openaire +3 more sources
Orthopaedic Surgery, Volume 16, Issue 10, Page 2509-2516, October 2024.In postmenopausal women, aging is associated with a significant decline in cortical bone thickness of the surgical neck of humerus, especially over the age of 70 years. Objective Postmenopausal changes in bone mass and structure compromise the mechanical properties of proximal humerus, predisposing it to low‐energy fractures with complex morphology ...
Yeming Wang +3 more
wiley +1 more source
Evaluation of Low Bone Mineral Mass Using a Combination of Peripheral Bone Mineral Density and Total Body Composition Variables by Neural Network [PDF]
, 2015 The aim of this work was to evaluate low bone mass using the feed-forward neural network (NN) with good accuracy taking into account the forearm and heel bone mineral density (BMD) as well as total body composition variables.
Anburajan, M. +3 more
core +1 more source