Deep learning-based thigh muscle segmentation for reproducible fat fraction quantification using fat–water decomposition MRI

Quantitative MRI Musculoskeletal Techniques: An Update

(2019) Ricardo de Mello et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

(2019) Mohammad Hesam Hesamian et al.   JOURNAL OF DIGITAL IMAGING

Advancements in magnetic resonance imaging‐based biomarkers for muscular dystrophy

(2019) Doris G. Leung   MUSCLE & NERVE

Novel stochastic framework for automatic segmentation of human thigh MRI volumes and its applications in spinal cord injured individuals

(2019) Samineh Mesbah et al.   PLoS One

A novel segmentation framework dedicated to the follow‐up of fat infiltration in individual muscles of patients with neuromuscular disorders

(2019) Augustin C. Ogier et al.   MAGNETIC RESONANCE IN MEDICINE

Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain

(2019) Jana Kemnitz et al.   MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE

Muscle quality characteristics of muscles in the thigh, upper arm and lower back in elderly men and women

(2018) Akito Yoshiko et al.   EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY

Evaluation of 2-point, 3-point, and 6-point Dixon magnetic resonance imaging with flexible echo timing for muscle fat quantification

(2018) Alexandra Grimm et al.   EUROPEAN JOURNAL OF RADIOLOGY

Thigh muscle segmentation of chemical shift encoding-based water-fat magnetic resonance images: The reference database MyoSegmenTUM

(2018) Sarah Schlaeger et al.   PLoS One

Repeatability of Dixon magnetic resonance imaging and magnetic resonance spectroscopy for quantitative muscle fat assessments in the thigh

(2018) Alexandra Grimm et al.   Journal of Cachexia Sarcopenia and Muscle

Quantifying fat replacement of muscle by quantitative MRI in muscular dystrophy

(2017) Jedrzej Burakiewicz et al.   JOURNAL OF NEUROLOGY

Validation of an active shape model-based semi-automated segmentation algorithm for the analysis of thigh muscle and adipose tissue cross-sectional areas

(2017) Jana Kemnitz et al.   MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE

Association of Quadriceps Muscle Fat With Isometric Strength Measurements in Healthy Males Using Chemical Shift Encoding-Based Water-Fat Magnetic Resonance Imaging

(2016) Thomas Baum et al.   JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY

MRI biomarker assessment of neuromuscular disease progression: a prospective observational cohort study

(2016) Jasper M Morrow et al.   LANCET NEUROLOGY

Progression and variation of fatty infiltration of the thigh muscles in Duchenne muscular dystrophy, a muscle magnetic resonance imaging study

(2015) Wenzhu Li et al.   NEUROMUSCULAR DISORDERS

Multi-parametric MRI characterization of healthy human thigh muscles at 3.0 T - relaxation, magnetization transfer, fat/water, and diffusion tensor imaging

(2014) Ke Li et al.   NMR IN BIOMEDICINE

Quantitative Magnetic Resonance Imaging in Limb-Girdle Muscular Dystrophy 2I: A Multinational Cross-Sectional Study

(2014) Tracey A. Willis et al.   PLoS One

Quadriceps intramuscular fat fraction rather than muscle size is associated with knee osteoarthritis

(2013) D. Kumar et al.   OSTEOARTHRITIS AND CARTILAGE

Quantitative Muscle MRI as an Assessment Tool for Monitoring Disease Progression in LGMD2I: A Multicentre Longitudinal Study

(2013) Tracey A. Willis et al.   PLoS One

Proton density fat-fraction: A standardized mr-based biomarker of tissue fat concentration

(2012) Scott B. Reeder et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Three-Point Technique of Fat Quantification of Muscle Tissue as a Marker of Disease Progression in Duchenne Muscular Dystrophy: Preliminary Study

(2007) Tishya A. L. Wren et al.   AMERICAN JOURNAL OF ROENTGENOLOGY