SCOLIO-SEE

3D-IMAGE PROCESSING SYSTEM FOR HELPING PHYSICIANS IN THE DIAGNOSIS AND MONITORING OF SCOLIOSIS

 Coordinatore ATEKNEA SOLUTIONS CATALONIA, SA 

 Organization address address: CALLE VICTOR PRADERA 45
city: CORNELLA DE LLOBREGAT BARCELONA
postcode: 8940

contact info
Titolo: Ms.
Nome: Anna
Cognome: Szathmáry
Email: send email
Telefono: +34 932 049 922
Fax: 34932049866

 Nazionalità Coordinatore Spain [ES]
 Totale costo 1˙439˙256 €
 EC contributo 1˙108˙755 €
 Programma FP7-SME
Specific Programme "Capacities": Research for the benefit of SMEs
 Code Call FP7-SME-2012
 Funding Scheme BSG-SME
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-10-01   -   2015-07-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    ATEKNEA SOLUTIONS CATALONIA, SA

 Organization address address: CALLE VICTOR PRADERA 45
city: CORNELLA DE LLOBREGAT BARCELONA
postcode: 8940

contact info
Titolo: Ms.
Nome: Anna
Cognome: Szathmáry
Email: send email
Telefono: +34 932 049 922
Fax: 34932049866

ES (CORNELLA DE LLOBREGAT BARCELONA) coordinator 44˙468.26
2    DIERS INTERNATIONAL GMBH

 Organization address address: DILLENBERGWEG 4
city: SCHLANGENBAD
postcode: 65388

contact info
Titolo: Mr.
Nome: Loretta
Cognome: Zircher
Email: send email
Telefono: 496129000000
Fax: 496129000000

DE (SCHLANGENBAD) participant 309˙932.09
3    INFOMETRIA IPIRESIES GEOPLIROFORIKIS EPE

 Organization address address: MITROPOLEOS 110
city: THESSALONIKI
postcode: 54621

contact info
Titolo: Mr.
Nome: Themistocles
Cognome: Roustanis
Email: send email
Telefono: 302311000000
Fax: 302311000000

EL (THESSALONIKI) participant 245˙140.33
4    REHASPORT CLINIC SP ZOO

 Organization address address: ULICA GORECKA 30
city: POZNAN
postcode: 60-201

contact info
Titolo: Dr.
Nome: Tomasz
Cognome: Piontek
Email: send email
Telefono: +48 618338989
Fax: +48 618338990

PL (POZNAN) participant 237˙234.49
5    NEOVISION SRO

 Organization address address: BARRANDOVA 409
city: PRAHA
postcode: 143 00

contact info
Titolo: Mr.
Nome: Petr
Cognome: Palatka
Email: send email
Telefono: +420 225273650
Fax: +420 225273680

CZ (PRAHA) participant 230˙614.21
6    ISICO SRL

 Organization address address: VIA BELLARMINO ROBERTO 13 1
city: MILANO
postcode: 20141

contact info
Titolo: Mr.
Nome: Alberto
Cognome: Negrini
Email: send email
Telefono: +39 3482622205
Fax: +39 0292877064

IT (MILANO) participant 24˙808.00
7    GEOIMAGING LIMITED

 Organization address address: GEORGIOU SEFERI STR 6 OFFICE 102
city: LEFKOSIA
postcode: 1075

contact info
Titolo: Mr.
Nome: Aristodimos
Cognome: Anastasiadis
Email: send email
Telefono: 35722447770
Fax: 35722374988

CY (LEFKOSIA) participant 11˙998.51
8    ARISTOTELIO PANEPISTIMIO THESSALONIKIS

 Organization address address: Administration Building, University Campus
city: THESSALONIKI
postcode: 54124

contact info
Titolo: Mrs.
Nome: Georgia
Cognome: Petridou
Email: send email
Telefono: 302311000000
Fax: 302311000000

EL (THESSALONIKI) participant 4˙560.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

images    first    cobb    hardware    curvature    patients    formetric    rays    grade    quantify    see    scolio       ann    data    time    image    human    software    treatment    diagnostic    spine    view    angle    radiographic    health    severity    topography    ray    back    compare    occurred    deformity    point    smes    diagnosing    surface    internal    radiographs    external    spinal    deformation    combination    scoliosis    diagnosis    indices    monitoring   

 Obiettivo del progetto (Objective)

'Scoliosis is a three-dimensional (3D) deformity of the human spinal column and ribcage, caused by lateral curvature deviating from the midline and provoking acute pain, stomach and respiratory problems. This internal deformity is reflected in the external shape of the back; treatment aims at improving the health and the aesthetics of the patients. From the health point of view, the golden standard for diagnosing and monitoring scoliosis is the Cobb angle which refers to the internal curvature of the spine (by means of radiographs); from the external or aesthetic point of view there are a well-known variety of measurements and surface indices that quantify the severity of scoliosis. Many studies show that it is not possible to predict the Cobb angle by means of previous X-rays, nor to infer a concrete value of the Cobb angle by means only of surface indices, because radiograph and surface topography measurements are not redundant, but complementary. Nevertheless, although it is not possible to eliminate X-ray radiographs, their number can be reduced to a large extent by an adequate combination of surface and radiographic measurements; different studies show that the reduction in the number of radiographs is very important because patients with scoliosis have higher risk of cancer due to repeated radiation exposure. SCOLIO-SEE is a software and hardware system that, for the first time, will combine the data obtained by both radiographic and surface topography techniques; this matching between internal and external deformation will permit monitoring spine curvature evolution after treatment by analyzing only surface changes, reducing the number of radiographs needed to a level that it is not harmful for the patients. Additionally, a software module will be developed to compare the 3D images taken for each individual patient in two successive visits, to show the 3D-changes occurred in the whole back surface occurred in this time interval.'

Introduzione (Teaser)

Scoliosis affects millions of people throughout the EU, significantly impacting their health and self-esteem. EU-funded researchers are developing a 3D image processing system for diagnosing and monitoring scoliosis.

Descrizione progetto (Article)

An abnormal spinal curvature, scoliosis is most often treated using a combination of bracing, exercise and surgery based on severity. Current diagnostic and monitoring protocols involve the use of an inclinometer followed by X-rays to measure and quantify the severity of spinal curvature. Both the complexity of quantifying scoliosis grade and the need for frequent X-rays during treatment have highlighted the need for a better technique.

Research organisations and small and medium-sized enterprises (SMEs) joined forces under the '3D-image processing system for helping physicians in the diagnosis and monitoring of scoliosis' (http://www.scolio-see.eu/ (SCOLIO-SEE)) project. They will develop an integrated software and hardware system for 3D image processing of the spine using machine learning to connect internal and external spinal deformation. Their objective is better quantification of scoliosis grade and minimising the need for X-rays.

Project members worked on determining the SCOLIO-SEE system specifications and relevant parameters during the first part of the project. Artificial neural network (ANN) algorithms will be applied to this data for accurate estimation and prediction of extent of spinal curvature for diagnosis and treatment.

A major achievement is the development of the Formetric measurement technology prototype that is undergoing evaluation during the project's lifetime. Already, over 100 patients have been recruited for the study.

Significant progress has been achieved with regard to database development, as well as collecting and combining surface topographic and radiographic spinal measurements using ANN methodology. Researchers are currently working on mapping the spinal X-ray images with the 3D biomechanical model from the Formetric imager. Data of 10 human back surfaces is being used to evaluate and compare 3D images acquired at different time-points.

Successful project outcomes would take us a step closer to commercialising a non-invasive, safe and affordable diagnostic and monitoring system for scoliosis. Furthermore, this system could also be adapted for other parts of the body. Besides improving the quality of life of patients, the competitiveness of consortium SMEs would also be enhanced.

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