Real-time 3D interactive segmentation of echocardiographic data through user-based deformation of B-spline explicit active surfaces

Image segmentation is an ubiquitous task in medical image analysis, which is required to estimate morphological or functional properties of given anatomical targets. While automatic processing is highly desirable, image segmentation remains to date a supervised process in daily clinical practice. Indeed, challenging data often requires user interaction to capture the required level of anatomical detail. To optimize the analysis of 3D images, the user should be able to efficiently interact with the result of any segmentation algorithm to correct any possible disagreement. Building on a previously developed real-time 3D segmentation algorithm, we propose in the present work an extension towards an interactive application where user information can be used online to steer the segmentation result. This enables a synergistic collaboration between the operator and the underlying segmentation algorithm, thus contributing to higher segmentation accuracy, while keeping total analysis time competitive. To this end, we formalize the user interaction paradigm using a geometrical approach, where the user input is mapped to a non-cartesian space while this information is used to drive the boundary towards the position provided by the user. Additionally, we propose a shape regularization term which improves the interaction with the segmented surface, thereby making the interactive segmentation process less cumbersome. The resulting algorithm offers competitive performance both in terms of segmentation accuracy, as well as in terms of total analysis time. This contributes to a more efficient use of the existing segmentation tools in daily clinical practice. Furthermore, it compares favorably to state-of-the-art interactive segmentation software based on a 3D livewire-based algorithm.

Consumer Culture Theory (CCT) já é uma escola de pensamento em marketing?

A década de 1980 trouxe uma visão alternativa à corrente positivista predominante no campo de pesquisa do consumidor: a Consumer Culture Theory (CCT), que assume uma orientação epistemológica baseada no interpretativismo e na pesquisa qualitativa. Diante do destaque alcançado pela CCT, levantou-se a seguinte questão: a CCT já pode ser considerada uma escola de pensamento em marketing autônoma? Pautados em três critérios fundamentais para a qualificação de uma escola de pensamento (reconhecimento acadêmico, corpo de conhecimento e contribuições), foi realizada uma desk research, baseada em periódicos e artigos da área e na construção de um corpus de pesquisa construído com base nas referências contidas no texto seminal Consumer Culture Theory (CCT): twenty years of research. A conclusão é de que a CCT atende aos critérios adotados na presente pesquisa, podendo ser considerada uma escola de pensamento a utônoma dentro do campo de pesquisa do consumo.