HapticV1, PascalFrancis, Corpus, bibRecord, 000097

Development and validation methodology of the Nuss procedure surgical planner : Medical Simulation

Identifieur interne : 000097 ( PascalFrancis/Corpus ); précédent : 000096; suivant : 000098

Development and validation methodology of the Nuss procedure surgical planner : Medical Simulation

Auteurs : Krzysztof J. Rechowicz ; Frederic D. Mckenzie

Source :

Simulation : (San Diego, Calif.) [ 0037-5497 ] ; 2013.

RBID : Pascal:14-0039954

Descripteurs français

Pascal (Inist)
- Chirurgie miniinvasive, Planification, Interface utilisateur, Pistage, Poursuite, Paroi thoracique, Esthétique, Etat dépressif, Malformation, Physiologie, Sensibilité tactile, Validation, Modélisation, Méthode élément fini, Réseau neuronal, Tomographie numérique.

English descriptors

KwdEn :
- Aesthetics, Chest wall, Computerized tomography, Depression, Finite element method, Malformation, Minimally invasive surgery, Modeling, Neural network, Physiology, Planning, Tactile sensitivity, Tracking, Tracking(movable target), User interface, Validation.

Abstract

Surgical planners are used to achieve the optimal outcome for surgery. They are especially desired in procedures where a positive aesthetic outcome is the primary goal, such as the Nuss procedure which is a minimally invasive surgery for correcting pectus excavatum (PE) - a congenital chest wall deformity which is characterized by a deep depression of the sternum. The Nuss procedure consists of placement of a metal bar(s) underneath the sternum, thereby forcibly changing the geometry of the ribcage. Because of the prevalence of PE and the popularity of the Nuss procedure, the demand to perform this surgery is greater than ever. Therefore, a Nuss procedure surgical planner is an invaluable planning tool ensuring an optimal physiological and aesthetic outcome. We propose the development and validation of the Nuss procedure planner. First, a generic model of the ribcage is developed. Then, the computed tomography (CT) data collected from actual patients with PE is used to create a set of patient-specific finite element models (FEM). Based on finite element analyses (FEA) a force-displacement data set is created. This data is used to train an artificial neural network (ANN) to generalize the data set. In order to evaluate the planning process, a methodology which uses an average shape of the chest for comparison with results of the Nuss procedure planner is developed. Haptic feedback and inertial tracking is also implemented. The results show that it is possible to utilize this approximation of the force-displacement model for a Nuss procedure planner and trainer.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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Format Inist (serveur)

NO :	PASCAL 14-0039954 INIST
ET :	Development and validation methodology of the Nuss procedure surgical planner : Medical Simulation
AU :	RECHOWICZ (Krzysztof J.); MCKENZIE (Frederic D.)
AF :	Modeling, Simulation and Visualization Engineering Department, Old Dominion University/Norfolk, Virginia/Etats-Unis (1 aut., 2 aut.)
DT :	Publication en série; Niveau analytique
SO :	Simulation : (San Diego, Calif.); ISSN 0037-5497; Etats-Unis; Da. 2013; Vol. 89; No. 12; Pp. 1474-1488; Bibl. 23 ref.
LA :	Anglais
EA :	Surgical planners are used to achieve the optimal outcome for surgery. They are especially desired in procedures where a positive aesthetic outcome is the primary goal, such as the Nuss procedure which is a minimally invasive surgery for correcting pectus excavatum (PE) - a congenital chest wall deformity which is characterized by a deep depression of the sternum. The Nuss procedure consists of placement of a metal bar(s) underneath the sternum, thereby forcibly changing the geometry of the ribcage. Because of the prevalence of PE and the popularity of the Nuss procedure, the demand to perform this surgery is greater than ever. Therefore, a Nuss procedure surgical planner is an invaluable planning tool ensuring an optimal physiological and aesthetic outcome. We propose the development and validation of the Nuss procedure planner. First, a generic model of the ribcage is developed. Then, the computed tomography (CT) data collected from actual patients with PE is used to create a set of patient-specific finite element models (FEM). Based on finite element analyses (FEA) a force-displacement data set is created. This data is used to train an artificial neural network (ANN) to generalize the data set. In order to evaluate the planning process, a methodology which uses an average shape of the chest for comparison with results of the Nuss procedure planner is developed. Haptic feedback and inertial tracking is also implemented. The results show that it is possible to utilize this approximation of the force-displacement model for a Nuss procedure planner and trainer.
CC :	002B25J; 001D02C06; 001D02B04; 001D02B08
FD :	Chirurgie miniinvasive; Planification; Interface utilisateur; Pistage; Poursuite; Paroi thoracique; Esthétique; Etat dépressif; Malformation; Physiologie; Sensibilité tactile; Validation; Modélisation; Méthode élément fini; Réseau neuronal; Tomographie numérique
ED :	Minimally invasive surgery; Planning; User interface; Tracking; Tracking(movable target); Chest wall; Aesthetics; Depression; Malformation; Physiology; Tactile sensitivity; Validation; Modeling; Finite element method; Neural network; Computerized tomography
SD :	Cirugía mini invasiva; Planificación; Interfase usuario; Rastreo; Persecución y continuación; Pared torácica; Estética; Estado depresivo; Malformación; Fisiología; Sensibilidad tactil; Validación; Modelización; Método elemento finito; Red neuronal; Tomografía digital
LO :	INIST-4999.354000501623470060
ID :	14-0039954

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Pascal:14-0039954

Le document en format XML

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<s5>21</s5>
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<s5>21</s5>
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<s5>21</s5>
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<s5>22</s5>
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<s5>22</s5>
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<s5>23</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>Validation</s0>
<s5>23</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Validación</s0>
<s5>23</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE"><s0>Modélisation</s0>
<s5>24</s5>
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<s5>24</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA"><s0>Modelización</s0>
<s5>24</s5>
</fC03>
<fC03 i1="14" i2="X" l="FRE"><s0>Méthode élément fini</s0>
<s5>25</s5>
</fC03>
<fC03 i1="14" i2="X" l="ENG"><s0>Finite element method</s0>
<s5>25</s5>
</fC03>
<fC03 i1="14" i2="X" l="SPA"><s0>Método elemento finito</s0>
<s5>25</s5>
</fC03>
<fC03 i1="15" i2="X" l="FRE"><s0>Réseau neuronal</s0>
<s5>26</s5>
</fC03>
<fC03 i1="15" i2="X" l="ENG"><s0>Neural network</s0>
<s5>26</s5>
</fC03>
<fC03 i1="15" i2="X" l="SPA"><s0>Red neuronal</s0>
<s5>26</s5>
</fC03>
<fC03 i1="16" i2="X" l="FRE"><s0>Tomographie numérique</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="16" i2="X" l="ENG"><s0>Computerized tomography</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="16" i2="X" l="SPA"><s0>Tomografía digital</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fN21><s1>041</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
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<server><NO>PASCAL 14-0039954 INIST</NO>
<ET>Development and validation methodology of the Nuss procedure surgical planner : Medical Simulation</ET>
<AU>RECHOWICZ (Krzysztof J.); MCKENZIE (Frederic D.)</AU>
<AF>Modeling, Simulation and Visualization Engineering Department, Old Dominion University/Norfolk, Virginia/Etats-Unis (1 aut., 2 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Simulation : (San Diego, Calif.); ISSN 0037-5497; Etats-Unis; Da. 2013; Vol. 89; No. 12; Pp. 1474-1488; Bibl. 23 ref.</SO>
<LA>Anglais</LA>
<EA>Surgical planners are used to achieve the optimal outcome for surgery. They are especially desired in procedures where a positive aesthetic outcome is the primary goal, such as the Nuss procedure which is a minimally invasive surgery for correcting pectus excavatum (PE) - a congenital chest wall deformity which is characterized by a deep depression of the sternum. The Nuss procedure consists of placement of a metal bar(s) underneath the sternum, thereby forcibly changing the geometry of the ribcage. Because of the prevalence of PE and the popularity of the Nuss procedure, the demand to perform this surgery is greater than ever. Therefore, a Nuss procedure surgical planner is an invaluable planning tool ensuring an optimal physiological and aesthetic outcome. We propose the development and validation of the Nuss procedure planner. First, a generic model of the ribcage is developed. Then, the computed tomography (CT) data collected from actual patients with PE is used to create a set of patient-specific finite element models (FEM). Based on finite element analyses (FEA) a force-displacement data set is created. This data is used to train an artificial neural network (ANN) to generalize the data set. In order to evaluate the planning process, a methodology which uses an average shape of the chest for comparison with results of the Nuss procedure planner is developed. Haptic feedback and inertial tracking is also implemented. The results show that it is possible to utilize this approximation of the force-displacement model for a Nuss procedure planner and trainer.</EA>
<CC>002B25J; 001D02C06; 001D02B04; 001D02B08</CC>
<FD>Chirurgie miniinvasive; Planification; Interface utilisateur; Pistage; Poursuite; Paroi thoracique; Esthétique; Etat dépressif; Malformation; Physiologie; Sensibilité tactile; Validation; Modélisation; Méthode élément fini; Réseau neuronal; Tomographie numérique</FD>
<ED>Minimally invasive surgery; Planning; User interface; Tracking; Tracking(movable target); Chest wall; Aesthetics; Depression; Malformation; Physiology; Tactile sensitivity; Validation; Modeling; Finite element method; Neural network; Computerized tomography</ED>
<SD>Cirugía mini invasiva; Planificación; Interfase usuario; Rastreo; Persecución y continuación; Pared torácica; Estética; Estado depresivo; Malformación; Fisiología; Sensibilidad tactil; Validación; Modelización; Método elemento finito; Red neuronal; Tomografía digital</SD>
<LO>INIST-4999.354000501623470060</LO>
<ID>14-0039954</ID>
</server>
</inist>
</record>

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Development and validation methodology of the Nuss procedure surgical planner : Medical Simulation

Development and validation methodology of the Nuss procedure surgical planner : Medical Simulation

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