5 resultados para Soft computing
em CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal
Resumo:
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. Although this technique has been shown to be safe and reliable, not all patients have achieved adequate cosmetic outcome. This often leads to psychological 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-surgical 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 volumetric mass spring model that connects two layers - inner skin layer based on the outer pleura contour and the outer surface 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
Resumo:
Background: Surgical repair of pectus excavatum (PE) has become more popular due to improvements in the minimally invasive Nuss procedure. The pre-surgical assessment of PE patients requires Computerized Tomography (CT), as the malformation characteristics vary from patient to patient. Objective: This work aims to characterize soft tissue thickness (STT) external to the ribs among PE patients. It also presents a comparative analysis between the anterior chest wall surface before and after surgical correction. Methods: Through surrounding tissue segmentation in CT data, STT values were calculated at different lines along the thoracic wall, with a reference point in the intersection of coronal and median planes. The comparative analysis between the two 3D anterior chest surfaces sets a surgical correction influence area (SCIA) and a volume of interest (VOI) based on image processing algorithms, 3D surface algorithms, and registration methods. Results: There are always variations between left and right side STTs (2.54±2.05 mm and 2.95±2.97 mm for female and male patients, respectively). STTs are dependent on age, sex, and body mass index of each patient. On female patients, breast tissue induces additional errors in bar manual
Resumo:
Graphical user interfaces (GUIs) are critical components of today's open source software. Given their increased relevance, the correctness and usability of GUIs are becoming essential. This paper describes the latest results in the development of our tool to reverse engineer the GUI layer of interactive computing open source systems. We use static analysis techniques to generate models of the user interface behavior from source code. Models help in graphical user interface inspection by allowing designers to concentrate on its more important aspects. One particular type of model that the tool is able to generate is state machines. The paper shows how graph theory can be useful when applied to these models. A number of metrics and algorithms are used in the analysis of aspects of the user interface's quality. The ultimate goal of the tool is to enable analysis of interactive system through GUIs source code inspection.
Resumo:
A sociedade atual é marcada por uma crescente competição entre as organizações, as quais para garantirem a sua sobrevivência têm que evoluir e utilizar a tecnologia de informação mais adequada. Num período em que as PMES portuguesas necessitam de reduzir custos e concentrarem-se mais no seu processo de negócio surge um novo paradigma tecnológico, a Computação na Nuvem, esta ainda é um paradigma bastante recente, onde os recursos de TI que apresentam características de elasticidade e dinâmicas são oferecidos ao cliente como um serviço, no qual este paga apenas o que consome (pagamento por utilização). A Cloud Computing com o seu novo paradigma permite às organizações, principalmente às PMES reduzirem custos, concentrarem-se no seu processo de negócio sem se preocuparem com a parte informática (cópias de segurança, assistência e perda de dados) e obter um retorno mais rápido do seu investimento. Este trabalho consiste no Estudo da Adoção Individual da Cloud Computing no contexto das PMEs Portuguesas, o qual apresenta como principais objetivos obter uma melhor compreensão do conceito Cloud Computing, entender a sua importância para os indivíduos das PMES, identificar os seus fatores de sucesso e insucesso e identificar as limitações sentidas de uma forma generalizada e de uma forma específica para as PMES Portuguesas. Para cumprir os objetivos mencionados anteriormente, efetuou-se uma extensa revisão de literatura, propôs-se um modelo conceptual de investigação com adaptações à Teoria Unificada de Aceitação e Uso de Tecnologia (UTAUT) e utilizou-se como instrumento de recolha de dados um questionário que foi enviado às PMES Portuguesas.
Resumo:
Background: Surgical repair of pectus excavatum (PE) has become more popular due to improvements in the minimally invasive Nuss procedure. The pre-surgical assessment of PE patients requires Computerized Tomography (CT), as the malformation characteristics vary from patient to patient. Objective: This work aims to characterize soft tissue thickness (STT) external to the ribs among PE patients. It also presents a comparative analysis between the anterior chest wall surface before and after surgical correction. Methods: Through surrounding tissue segmentation in CT data, STT values were calculated at different lines along the thoracic wall, with a reference point in the intersection of coronal and median planes. The comparative analysis between the two 3D anterior chest surfaces sets a surgical correction influence area (SCIA) and a volume of interest (VOI) based on image processing algorithms, 3D surface algorithms, and registration methods. Results: There are always variations between left and right side STTs (2.54±2.05 mm and 2.95±2.97 mm for female and male patients, respectively). STTs are dependent on age, sex, and body mass index of each patient. On female patients, breast tissue induces additional errors in bar manual