[HTML][HTML] Magnetic resonance imaging techniques for the quantitative analysis of skeletal muscle: state of the art

K Engelke, O Chaudry, L Gast, MAB Eldib… - Journal of Orthopaedic …, 2023 - Elsevier
Background Magnetic resonance imaging (MRI) is the dominant 3D imaging modality to
quantify muscle properties in skeletal muscle disorders, in inherited and acquired muscle …

[HTML][HTML] Artificial intelligence and abdominal adipose tissue analysis: a literature review

F Greco, CA Mallio - Quantitative Imaging in Medicine and Surgery, 2021 - ncbi.nlm.nih.gov
Body composition imaging relies on assessment of tissues composition and distribution.
Quantitative data provided by body composition imaging analysis have been linked to …

Automated deep learning–based segmentation of abdominal adipose tissue on Dixon MRI in adolescents: a prospective population-based study

T Wu, S Estrada, R van Gils, R Su… - American journal of …, 2024 - Am Roentgen Ray Soc
BACKGROUND. The prevalence of childhood obesity has increased significantly worldwide,
highlighting a need for accurate noninvasive quantification of body fat distribution in …

Analysis of volume and topography of adipose tissue in the trunk: Results of MRI of 11,141 participants in the German National Cohort

T Haueise, F Schick, N Stefan, CL Schlett, JB Weiss… - Science …, 2023 - science.org
This research addresses the assessment of adipose tissue (AT) and spatial distribution of
visceral (VAT) and subcutaneous fat (SAT) in the trunk from standardized magnetic …

Abdominal fat quantification using convolutional networks

D Schneider, T Eggebrecht, A Linder, N Linder… - European …, 2023 - Springer
Objectives To present software for automated adipose tissue quantification of abdominal
magnetic resonance imaging (MRI) data using fully convolutional networks (FCN) and to …

Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies

T Kart, M Fischer, S Winzeck, B Glocker, W Bai… - Scientific Reports, 2022 - nature.com
Large epidemiological studies such as the UK Biobank (UKBB) or German National Cohort
(NAKO) provide unprecedented health-related data of the general population aiming to …

More than skin-deep: visceral fat is strongly associated with disease activity, function and metabolic indices in psoriatic disease

T Blake, NJ Gullick, CE Hutchinson, A Bhalerao… - Arthritis Research & …, 2023 - Springer
Objective To compare body composition between patients with psoriatic disease (PsD),
including cutaneous psoriasis (PsO) and psoriatic arthritis (PsA), and controls, and to …

Clinical artificial intelligence applications in radiology: chest and abdomen

S Lee, RM Summers - Radiologic Clinics, 2021 - radiologic.theclinics.com
How wonderful would it be if an automated assistant would go through our daily chest
radiographs and sort out the ones that need our immediate attention; or maybe pick out the …

GA-Net: A geographical attention neural network for the segmentation of body torso tissue composition

J Dai, T Liu, DA Torigian, Y Tong, S Han, P Nie… - Medical Image …, 2024 - Elsevier
Purpose Body composition analysis (BCA) of the body torso plays a vital role in the study of
physical health and pathology and provides biomarkers that facilitate the diagnosis and …

Automated segmentation of visceral, deep subcutaneous, and superficial subcutaneous adipose tissue volumes in MRI of neonates and young children

YM Kway, K Thirumurugan, MT Tint… - Radiology: Artificial …, 2021 - pubs.rsna.org
Purpose To develop and evaluate an automated segmentation method for accurate
quantification of abdominal adipose tissue (AAT) depots (superficial subcutaneous adipose …