An introduction to NURBS: with historical perspective
An introduction to NURBS: with historical perspective
Microsoft Visual C# Step by Step
Microsoft Visual C# Step by Step
Probabilistic Modelling in Bioinformatics and Medical Informatics
Probabilistic Modelling in Bioinformatics and Medical Informatics
2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications
2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications
Handbook of Geometric Computing: Applications in Pattern Recognition, Computer Vision, Neuralcomputing, and Robotics
Computing the minimum distance between a point and a NURBS curve
Computer-Aided Design
Modeling and Measurement of 3D Deformation of Scoliotic Spine Using 2D X-ray Images
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Vertebral axial rotation measurement method
Computer Methods and Programs in Biomedicine
CAROTID - A web-based platform for optimal personalized management of atherosclerotic patients
Computer Methods and Programs in Biomedicine
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Adolescent idiopathic scoliosis is the most common type of abnormal curvature observed in spine and it progresses rapidly during the puberty period. The most followed clinical way of assessing the spinal deformity is subjective by measuring the characteristic angles of spinal curve from a set of radiographic images. This paper presents a web-based information system (called ScolioMedIS) based on parameterized 3D anatomical models of the spine to quantitatively assess the deformity and to minimize the amount of radiation exposure by reducing the number of radiographs required. The main components of the system are 3D parametric solid model of spine, back surfaces, relevant clinical information and scoliosis ontology. The patient-specific spine model is regenerated from the parametric model and surface data using anatomical information extracted from radiographic images. The system is designed to take inherent advantage of Web for facilitating multi-center data collection and collaborative clinical decisions. The preliminary analysis of patient data showed promising results, which involve improved documentation standard, clinical decision knowledge base record, facilitated exchange and retrieval of medical data between institutions in multi-center clinical studies, 3D visualization of spinal deformity, and permanent monitoring of treatments.