Evaluation and comparison of current fetal ultrasound image segmentation methods for biometric measurements: a grand challenge.

This paper presents the evaluation results of the methods submitted to Challenge US: Biometric Measurements from Fetal Ultrasound Images, a segmentation challenge held at the IEEE International Symposium on Biomedical Imaging 2012. The challenge was set to compare and evaluate current fetal ultrasound image segmentation methods. It consisted of automatically segmenting fetal anatomical structures to measure standard obstetric biometric parameters, from 2D fetal ultrasound images taken on fetuses at different gestational ages (21 weeks, 28 weeks, and 33 weeks) and with varying image quality to reflect data encountered in real clinical environments. Four independent sub-challenges were proposed, according to the objects of interest measured in clinical practice: abdomen, head, femur, and whole fetus. Five teams participated in the head sub-challenge and two teams in the femur sub-challenge, including one team who tackled both. Nobody attempted the abdomen and whole fetus sub-challenges. The challenge goals were two-fold and the participants were asked to submit the segmentation results as well as the measurements derived from the segmented objects. Extensive quantitative (region-based, distance-based, and Bland-Altman measurements) and qualitative evaluation was performed to compare the results from a representative selection of current methods submitted to the challenge. Several experts (three for the head sub-challenge and two for the femur sub-challenge), with different degrees of expertise, manually delineated the objects of interest to define the ground truth used within the evaluation framework. For the head sub-challenge, several groups produced results that could be potentially used in clinical settings, with comparable performance to manual delineations. The femur sub-challenge had inferior performance to the head sub-challenge due to the fact that it is a harder segmentation problem and that the techniques presented relied more on the femur's appearance.

Investigation of discrete imaging models and iterative image reconstruction in differential X-ray phase-contrast tomography.

Differential X-ray phase-contrast tomography (DPCT) refers to a class of promising methods for reconstructing the X-ray refractive index distribution of materials that present weak X-ray absorption contrast. The tomographic projection data in DPCT, from which an estimate of the refractive index distribution is reconstructed, correspond to one-dimensional (1D) derivatives of the two-dimensional (2D) Radon transform of the refractive index distribution. There is an important need for the development of iterative image reconstruction methods for DPCT that can yield useful images from few-view projection data, thereby mitigating the long data-acquisition times and large radiation doses associated with use of analytic reconstruction methods. In this work, we analyze the numerical and statistical properties of two classes of discrete imaging models that form the basis for iterative image reconstruction in DPCT. We also investigate the use of one of the models with a modern image reconstruction algorithm for performing few-view image reconstruction of a tissue specimen.

Image Resilience after Multiple Crises : The Case of Switzerland in the United States

In der heutigen Welt sind die Reputation und das Image eines Landes als wichtige Faktoren für den wirtschaftlichen und politischen Erfolg angesehen. Jedoch ist die Pflege der Marke eines Landes komplex und führt zu zwei Positionen, die sich potentiell widersprechen: Einerseits kann ein positives Erscheinungsbild eines Landes durch aktive Massnahmen gefördert werden. Andererseits ist es schwierig, das Bild eines Landes abzugrenzen und es ist mit Klischees behaftet. Dieser Beitrag analysiert die Auswirkungen von zwei grösseren Krisen auf das Image der Schweiz in den Vereinigten Staaten: die Krise um die nachrichtenlosen Vermögen aus der Zeit des 2. Weltkriegs im Jahr 2000 sowie die Krise um die UBS und das Bankgeheimnis im Jahr 2009. Die Studie zeigt, dass das Erscheinungsbild der Schweiz unberührt blieb, obwohl ein beachtlicher Teil der Bevölkerung und der Meinungsführer von beiden Krisen wusste. Dies stützt die Hypothese, dass das Image eines Landes eine hohe Beständigkeit aufweist. In today's world, country's reputation and image have become key issues, widely believed to be success factors both economically and politically. Nevertheless, managing a country's brand is complex and leads to two positions that are potentially contradictory: On the one hand, a country's image can be influenced either by promotional activities. On the other hand, a country's image is a construct that is very difficult to delimit and is highly stereotyped. This contribution study the impact of two major crises on the image of Switzerland in the United States: the unclaimed wartime deposits crisis in 2000 and the UBS and banking secrecy crisis in 2009. It shows that despite the fact that a substantial proportion of the public and of opinion leaders was aware of both crises, the image of Switzerland was unaffected, which tends to support the hypothesis of strong stability of a country's image.