Comparación de algoritmos detectores de puntos singulares para reconocimiento de objetos en vídeo quirúrgico.

El análisis de vídeo laparoscópico ofrece nuevas posibilidades a la navegación quirúrgica al garantizar una incorporación mínima de tecnología en quirófano, evitando así alterar la ergonomía y los flujos de trabajo de las intervenciones. Una de sus principales ventajas es que puede servir como fuente de datos para reconstruir tridimensionalmente la escena laparoscópica, lo que permite dotar al cirujano de la sensación de profundidad perdida en este tipo de cirugía. En el presente trabajo de investigación se comparan dos detectores de puntos singulares, SIFT y SURF, para estimar cuál de los dos podría integrarse en un algoritmo de cálculo de coordenadas 3D, MonoSLAM, basado en la detección y el seguimiento de estos puntos singulares en los fotogramas del vídeo. Los resultados obtenidos posicionan a SURF como la mejor opción gracias a su rapidez y a su mayor capacidad de discriminación entre estructuras anatómicas e instrumental quirúrgico.

Adaptive neuro-fuzzy inference systems (ANFIS) for supervised classification of competence in MIS based on psychomotor skills

INTRODUCTION: Objective assessment of motor skills has become an important challenge in minimally invasive surgery (MIS) training.Currently, there is no gold standard defining and determining the residents' surgical competence.To aid in the decision process, we analyze the validity of a supervised classifier to determine the degree of MIS competence based on assessment of psychomotor skills METHODOLOGY: The ANFIS is trained to classify performance in a box trainer peg transfer task performed by two groups (expert/non expert). There were 42 participants included in the study: the non-expert group consisted of 16 medical students and 8 residents (< 10 MIS procedures performed), whereas the expert group consisted of 14 residents (> 10 MIS procedures performed) and 4 experienced surgeons. Instrument movements were captured by means of the Endoscopic Video Analysis (EVA) tracking system. Nine motion analysis parameters (MAPs) were analyzed, including time, path length, depth, average speed, average acceleration, economy of area, economy of volume, idle time and motion smoothness. Data reduction was performed by means of principal component analysis, and then used to train the ANFIS net. Performance was measured by leave one out cross validation. RESULTS: The ANFIS presented an accuracy of 80.95%, where 13 experts and 21 non-experts were correctly classified. Total root mean square error was 0.88, while the area under the classifiers' ROC curve (AUC) was measured at 0.81. DISCUSSION: We have shown the usefulness of ANFIS for classification of MIS competence in a simple box trainer exercise. The main advantage of using ANFIS resides in its continuous output, which allows fine discrimination of surgical competence. There are, however, challenges that must be taken into account when considering use of ANFIS (e.g. training time, architecture modeling). Despite this, we have shown discriminative power of ANFIS for a low-difficulty box trainer task, regardless of the individual significances between MAPs. Future studies are required to confirm the findings, inclusion of new tasks, conditions and sample population.

Structural challenges in multijunction solar cells for ultra-high CPV

The paths towards high efficiency multijunction solar cells operating inside real concentrators at ultra high concentration (>1000 suns) are described. The key addressed factors comprehend: 1) the development of an optimized tunnel junction with a high peak current density (240 A/cm2) to mitigate the non-uniform light profiles created by concentrators, 2) the inclusion of highly conductive semiconductor lateral layers to minimize the effects of the non-uniform light profiles in general, and the chromatic aberration in particular; and 3) an adequate design of reliability studies to test multijunction solar cells for real operation conditions in order to determine the fragile parts in the device and improve them. These challenges are faced by means of experimental and theoretical investigation using a quasi-3D distributed circuital model.

Estudio de Análogos Naturales de Captura y Almacenamiento de CO2: Relación Radón (222Rn) - Torón (220Rn)

La Fundación Ciudad de la Energía (CIUDEN) está desarrollando un proyecto de almacenamiento geológico de CO2. El área seleccionada para la colocación de la planta piloto de desarrollo tecnológico se encuentra en las proximidades de la localidad de Hontomín (Burgos, España). Dentro de los objetivos de este proyecto se encuentra el desarrollo y puesta a punto de una metodología no intrusiva/invasiva que permita mejorar el conocimiento de formaciones geológicas a partir del registro en superficie de la emisión de gases de origen natural. Para cumplir con parte de este objetivo, se ha realizado un estudio de los flujos y de la relación entre las actividades de radón (222Rn) y torón (220Rn) asociados a flujos altos de CO2. El área de estudio se encuentra en la zona volcánica de Campo de Calatrava de la provincia de Ciudad Real en España. Dado que los flujos muy altos (566 a 2011 g/m2•dia) de CO2 son puntuales en el emplazamiento de estudio, éstos podrían equipararse a escapes puntuales en zonas de debilidad de un almacenamiento comercial de CO2. Los resultados obtenidos indican que los flujos altos de CO2 conllevan actividades muy altas de 222Rn (118398 Bq/m3), y altas relaciones radón-torón, ya que se observa una disminución de las concentraciones de torón. Abstract The Fundación Ciudad de la Energía (CIUDEN) is presently developing a project of geological storage of CO2. The selected area is close to Hontomín town (Burgos, Spain). One of the aim objectives of this project is the development and testing of a non-intrusive/invasive methodology to improve our knowledge of geological formations from the surface record of the emission of soil gas. To meet part of this goal, a survey of 222Rn and 220Rn measurements has been performed at a site called La Sima, located in volcanic area of Campo de Calatrava (Ciudad Real, Spain) which is characterized by high fluxes of CO2 (566 a 2011 g/m2•dia). These high, point-source fluxes can be considered as analogues of potential leakages in commercial storages. The obtained results show a clear correlation between high flux of CO2 and very high activities of 222Rn (118398 Bq/m3). In contrast, activity of 220Rn is significantly low and consequently high ratios of radon-thoron are measured.