Literature DB >> 22591768

ScolioMedIS: web-oriented information system for idiopathic scoliosis visualization and monitoring.

Goran Devedžić1, Saša Cuković, Vanja Luković, Danijela Milošević, K Subburaj, Tanja Luković.   

Abstract

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.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22591768     DOI: 10.1016/j.cmpb.2012.04.008

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

1.  Determination of the human spine curve based on laser triangulation.

Authors:  Primož Poredoš; Dušan Čelan; Janez Možina; Matija Jezeršek
Journal:  BMC Med Imaging       Date:  2015-02-05       Impact factor: 1.930

2.  Measurement and Geometric Modelling of Human Spine Posture for Medical Rehabilitation Purposes Using a Wearable Monitoring System Based on Inertial Sensors.

Authors:  Gheorghe-Daniel Voinea; Silviu Butnariu; Gheorghe Mogan
Journal:  Sensors (Basel)       Date:  2016-12-22       Impact factor: 3.576

3.  Intelligence-Based Spine Care Model: A New Era of Research and Clinical Decision-Making.

Authors:  G Michael Mallow; Zakariah K Siyaji; Fabio Galbusera; Alejandro A Espinoza-Orías; Morgan Giers; Hannah Lundberg; Christopher Ames; Jaro Karppinen; Philip K Louie; Frank M Phillips; Robin Pourzal; Joseph Schwab; Daniel M Sciubba; Jeffrey C Wang; Hans-Joachim Wilke; Frances M K Williams; Shoeb A Mohiuddin; Melvin C Makhni; Nicholas A Shepard; Howard S An; Dino Samartzis
Journal:  Global Spine J       Date:  2020-11-28
  3 in total

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