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Pectus Excavatum postsurgical outcome based on preoperative soft body dynamics simulation

Authors :
Moreira, António H. J.
Rodrigues, Pedro L.
Fonseca, Jaime C.
Pinho, A. C. Marques de
Rodrigues, Nuno F.
Pinto, Jorge Correia
Vilaça, João L.
Universidade do Minho
Publication Year :
2012
Publisher :
SPIE - The Society of Photo-optical Instrumentation Engineers, 2012.

Abstract

Pectus excavatum is the most common congenital deformity of the anterior chest wall, in which an abnormal formation of the rib cage gives the chest a caved-in or sunken appearance. Today, the surgical correction of this deformity is carried out in children and adults through Nuss technic, which consists in the placement of a prosthetic bar under the sternum and over the ribs. Alth ough this technique has been shown to be safe and reliable, not all patients have achieved adequate cosmetic outcome. This often leads to psyc hological problems and social stress, before and after the surgical correction. This paper targets this particular problem by presenting a method to predict the patient surgical outcome based on pre-surgical imagiologic information and chest skin dynamic modulation. The proposed approach uses the patient pre-surgical thoracic CT scan and anatomical-surg ical references to perform a 3D segmentation of the left ribs, right ribs, sternum and skin. The technique encompasses three steps: a) approximation of the cartilages, between the ribs and the sternum, trough b-spline interpolation; b) a volu metric mass spring model that connects two layers - inner skin layer based on the outer pleura contour and the outer su rface skin; and c) displacement of the sternum according to the prosthetic bar position. A dynamic model of the skin around the chest wall region was generated, capable of simulating the effect of the movement of the prosthetic bar along the sternum. The results were compared and validated with patient postsurgical skin surface acquired with Polhemus FastSCAN system.<br />Fundação para a Ciência e Tecnologia

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od.......307..caa82a5faf76c86f17a060b41ca98741