Thoracic wall reconstruction using ultrasound images to model/bend the thoracic prosthesis for correction of pectus excavatum

Pectus excavatum is the most common congenital deformity of the anterior thoracic wall. The surgical correction of such deformity, using Nuss procedure, consists in the placement of a personalized convex prosthesis into sub-sternal position to correct the deformity. The aim of this work is the CT-scan substitution by ultrasound imaging for the pre-operative diagnosis and pre-modeling of the prosthesis, in order to avoid patient radiation exposure. To accomplish this, ultrasound images are acquired along an axial plane, followed by a rigid registration method to obtain the spatial transformation between subsequent images. These images are overlapped to reconstruct an axial plane equivalent to a CT-slice. A phantom was used to conduct preliminary experiments and the achieved results were compared with the corresponding CT-data, showing that the proposed methodology can be capable to create a valid approximation of the anterior thoracic wall, which can be used to model/bend the prosthesis

Pectus Excavatum postsurgical outcome based on preoperative soft body dynamics simulation

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

Automatic segmentation and 3D feature extraction of protein aggregates in Caenorhabditis Elegans

In the last years, it has become increasingly clear that neurodegenerative diseases involve protein aggregation, a process often used as disease progression readout and to develop therapeutic strategies. This work presents an image processing tool to automatic segment, classify and quantify these aggregates and the whole 3D body of the nematode Caenorhabditis Elegans. A total of 150 data set images, containing different slices, were captured with a confocal microscope from animals of distinct genetic conditions. Because of the animals’ transparency, most of the slices pixels appeared dark, hampering their body volume direct reconstruction. Therefore, for each data set, all slices were stacked in one single 2D image in order to determine a volume approximation. The gradient of this image was input to an anisotropic diffusion algorithm that uses the Tukey’s biweight as edge-stopping function. The image histogram median of this outcome was used to dynamically determine a thresholding level, which allows the determination of a smoothed exterior contour of the worm and the medial axis of the worm body from thinning its skeleton. Based on this exterior contour diameter and the medial animal axis, random 3D points were then calculated to produce a volume mesh approximation. The protein aggregations were subsequently segmented based on an iso-value and blended with the resulting volume mesh. The results obtained were consistent with qualitative observations in literature, allowing non-biased, reliable and high throughput protein aggregates quantification. This may lead to a significant improvement on neurodegenerative diseases treatment planning and interventions prevention

Sistemas de comunicación por imagines para niños autistas en el comienzo de la trayectoria: análisis y re-diseño de un sistema

En la educación especial para autistas el método principal de la comunicación se hace con imágenes que hacen posible la comunicación entre profesores y alumnos. El gran problema de un niño autista es la enfermedad que afecta la comunicación del niño. A partir del analisis del sistema de comunicación vigente - Las cifras del Sistema de Comunicación (PEC) – se detectaron algunas inconsistencias en los símbolos utilizados, como son la falta de informidad y usabilidad visual. Así, este trabajo parte de la propuesta de cambiar, renovando el sistema. Nos proponemos a la creación de un conjunto de símbolos uniforme, coherente y convincente. Una vez que, desde el punto de vista del diseño y la ilustración, consideramos como esencial para la enseñanza del autista un establecimiento de determinada calidad en las imágenes e ilustraciones utilizadas en este universo. La investigación se centrará en el campo de la ilustración y el producto se sentará en el intento de reformular el sistema de comunicaciones implementada hoy en día, con el objetivo principal de hacer la comunicación fácil e inmediata entre los niños autistas, los profesores, padres y amigos. Es decir, buscamos la eficacia de comunicación entre el autista y los que los rodean.

Error bounds for low-rank approximations of the first exponential integral kernel

A hierarchical matrix is an efficient data-sparse representation of a matrix, especially useful for large dimensional problems. It consists of low-rank subblocks leading to low memory requirements as well as inexpensive computational costs. In this work, we discuss the use of the hierarchical matrix technique in the numerical solution of a large scale eigenvalue problem arising from a finite rank discretization of an integral operator. The operator is of convolution type, it is defined through the first exponential-integral function and, hence, it is weakly singular. We develop analytical expressions for the approximate degenerate kernels and deduce error upper bounds for these approximations. Some computational results illustrating the efficiency and robustness of the approach are presented.

Activos Intangíveis: o grau de adaptação das Empresas Portuguesas cotadas na Euronext relativamente à IAS 38

A IAS 38 (International Accounting Standard 38), emitida em 1998, e revista em Março de 2004, visa a harmonização no tratamento dos intangíveis de modo a tornar mais claro e uniforme o entendimento sobre estes activos fixos. O estudo e análise dos activos fixos intangíveis tem suscitado o interesse da comunidade académica em geral, devido à problemática do seu reconhecimento, avaliação e divulgação nas demonstrações financeiras. Apesar da importância da IAS 38, várias críticas são colocadas ao seu conteúdo, nomeadamente ao carácter conservador da norma no reconhecimento dos elementos intangíveis como activos. No estudo realizado verificamos que as empresas portuguesas cotadas na Euronext, em 2003, apresentam um reduzido grau de adaptação dos conteúdos da IAS 38, significando uma diminuta sensibilidade ao fenómeno da internacionalização das normas contabilísticas. As empresas de serviços, nomeadamente as do sector financeiro e das telecomunicações são as que apresentam maiores índices de divulgação pelo facto de efectuaram maiores investimentos em tecnologias, novos sistemas de informação e processos de gestão. Os resultados obtidos podem justificar-se por dois factores: o carácter não obrigatório da norma no momento da realização do trabalho (uma vez que esta entrou em vigor desde Janeiro de 2005); o carácter restritivo da norma no reconhecimento dos activos fixos intangíveis.