Parametric model of human body shape and ligaments for patient-specific epidural simulation

Artificial Intelligence in Medicine

Volumn 62, Issue 2, 2014, Pages 129-140

  Vaughan, Neil ^a   Dubey, Venketesh N ^a   Wee, Michael Y K ^b   Isaacs, Richard ^b  

^a BOURNEMOUTH UNIVERSITY   (United Kingdom)

^b POOLE HOSPITAL NHS FOUNDATION TRUST   (United Kingdom)

Author keywords

Body shape; Deformation model; Epidural; Human model; Patient specific; Simulation

Indexed keywords

APPLICATION PROGRAMMING INTERFACES (API); BACKPROPAGATION; BIOCHEMISTRY; COMPUTER GRAPHICS; DEFORMATION; HOSPITAL DATA PROCESSING; MAGNETIC RESONANCE IMAGING; NEEDLES; REGRESSION ANALYSIS;

BODY SHAPES; DEFORMATION MODELING; EPIDURAL; HUMAN MODEL; PATIENT SPECIFIC; SIMULATION;

3D MODELING;

ADOLESCENT; ADULT; AGE; AGED; ANATOMIC MODEL; ARM CIRCUMFERENCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BODY BUILD; BODY COMPOSITION; BODY HEIGHT; BODY MASS; BODY SIZE; BODY WEIGHT; CHILD; EPIDURAL SPACE; FAT FREE MASS; FAT MASS; FEMALE; HIP CIRCUMFERENCE; HUMAN; LIGAMENT; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PARAMETRIC TEST; REGRESSION ANALYSIS; SKINFOLD THICKNESS; THIGH CIRCUMFERENCE; THREE DIMENSIONAL IMAGING; ULTRASOUND; WAIST CIRCUMFERENCE; WAIST HIP RATIO; ANATOMY AND HISTOLOGY; TEACHING; THEORETICAL MODEL;

BODY COMPOSITION; FEMALE; HUMANS; LIGAMENTS; MALE; MODELS, THEORETICAL; PATIENT SIMULATION; REGRESSION ANALYSIS;

EID: 84910006785     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2014.08.005     Document Type: Article

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