Clasificación de imágenes dermatoscópicas

Este proyecto presenta un software para el análisis de imágenes dermatoscópicas correspondiente a lesiones melanocíticas, con el fin de clasificarlas entre lesiones benignas y melanoma. El sistema realiza una segmentación automática de la lesión y la procesa en varas etapas, extrayendo características de relevancia diagnóstica: asimetría, colores, irregularidad del borde, y la presencia de estructuras como redes pigmentadas atípicas o velo azul-blanquecino. Proporciona además una herramienta para el etiquetado manual de estructuras adicionales. La clasificación automática de las lesiones se realiza en base a los métodos de diagnóstico más comúnmente utilizados: las reglas ABCD, Menzies, 7-point checklist, CASH y CHAOS & CLUES. El sistema de clasificación se evalúa sobre una base de datos de imágenes dermatoscópicas, y se realiza una comparativa de los resultados obtenidos por cada método de diagnóstico. ABSTRACT. This project presents a software for the analysis of dermoscopic images of melanocytic lesions, and their classification into benign lesions and melanoma. The system performs automatic segmentation of the lesion and goes through several stages of extraction of certain characteristics relevant to the diagnosis, such as asymmetry, border irregularity, or presence of structures like atypical pigmented network or blue-whitish veil. Automatic classification of the lesions is accomplished by means of the most commonly used diagnostic methods, such as ABCD and Menzies's rules, the 7-point checklist, CASH, and CHAOS & CLUES. The classification system is evaluated by using a dermoscopic image database, and a comparison of the results yielded by the different diagnostic methods is performed.

Accurate Simulation of MPPT Methods Performance When Applied to Commercial Photovoltaic Panels

Anew, simple, and quick-calculationmethodology to obtain a solar panel model, based on the manufacturers’ datasheet, to perform MPPT simulations, is described. The method takes into account variations on the ambient conditions (sun irradiation and solar cells temperature) and allows fast MPPT methods comparison or their performance prediction when applied to a particular solar panel. The feasibility of the described methodology is checked with four different MPPT methods applied to a commercial solar panel, within a day, and under realistic ambient conditions.

Infrared thermography to quantify the risk of breast cancer.

From the last decades, infrared thermography is quite often associated with things other than clinical medicine. For example, the chemical, automobile, aeronautic industries and civil engineering. However, thermography is where infrared images of the breast are analyzed by board certified thermographers and an abnormal thermogram is reported as the significant risk for the existence of breast tumor (Ng, 2009). Thermography is a painless, noninvasive, no radiation, as well as being cheaper and faster, easier access. The aim of this review was to identify the views of clinicians on the use of thermography for quantifying the risk of breast cancer. We used articles published recently in a reliable database. Thermography has been convicted over the years; it has been labeled by subjective interpretation. Most of the reviewed articles agree that mammography is currently the main examination chosen by doctors for the screening of breast cancer (Acharya et al., 2010; Kennedy et al., 2009). However, several studies have reported promising results for the technique (Wang et al., 2010). Additionally, some authors suggest that thermography is complementary to other diagnostic methods, and that the best strategy for the early detection of breast cancer would be to use them together (Kennedy et al., 2009; Hersh, 2004). The combination of thermal imaging with other tests would increase accuracy, sensitivity and specificity of the evaluation and allow a better quantification of the risk of breast cancer.

Infrared thermography and shoulder pain in wheelchair users = Termografía infrarroja y dolor de hombro en usuarios de sillas de ruedas

Las personas que usan la silla de ruedas como su forma de movilidad prioritaria presentan una elevada incidencia (73%) de dolor de hombro debido al sobreuso y al movimiento repetitivo de la propulsión. Existen numerosos métodos de diagnóstico para la detección de las patologías del hombro, sin embargo la literatura reclama la necesidad de un test no invasivo y fiable, y sugiere la termografía como una técnica adecuada para evaluar el dolor articular. La termografía infrarroja (IRT) proporciona información acerca de los procesos fisiológicos a través del estudio de las distribuciones de la temperatura de la piel. Debido a la alta correlación entre ambos lados corporales, las asimetrías térmicas entre flancos contralaterales son una buena indicación de patologías o disfunciones físicas subyacentes. La fiabilidad de la IRT ha sido estudiada con anterioridad en sujetos sanos, pero nunca en usuarios de sillas de ruedas. Las características especiales de la población con discapacidad (problemas de sudoración y termorregulación, distribución sanguínea o medicación), hacen necesario estudiar los factores que afectan a la aplicación de la IRT en usuarios de sillas de ruedas. La bibliografía discrepa en cuanto a los beneficios o daños resultantes de la práctica de la actividad física en las lesiones de hombro por sobreuso en usuarios de sillas de ruedas. Recientes resultados apuntan a un aumento del riesgo de rotura del manguito rotador en personas con paraplejia que practican deportes con elevación del brazo por encima de la cabeza. Debido a esta falta de acuerdo en la literatura, surge la necesidad de analizar el perfil termográfico en usuarios de sillas de ruedas sedentarios y deportistas y su relación con el dolor de hombro. Hasta la fecha sólo se han publicado estudios termográficos durante el ejercicio en sujetos sanos. Un mayor entendimiento de la respuesta termográfica al ejercicio en silla de ruedas en relación al dolor de hombro clarificará su aparición y desarrollo y permitirá una apropiada intervención. El primer estudio demuestra que la fiabilidad de la IRT en usuarios de sillas de ruedas varía dependiendo de las zonas analizadas, y corrobora que la IRT es una técnica no invasiva, de no contacto, que permite medir la temperatura de la piel, y con la cual avanzar en la investigación en usuarios de sillas de ruedas. El segundo estudio proporciona un perfil de temperatura para usuarios de sillas de ruedas. Los sujetos no deportistas presentaron mayores asimetrías entre lados corporales que los sedentarios, y ambos obtuvieron superiores asimetrías que los sujetos sin discapacidad reportados en la literatura. Los no deportistas también presentaron resultados más elevados en el cuestionario de dolor de hombro. El área con mayores asimetrías térmicas fue hombro. En deportistas, algunas regiones de interés (ROIs) se relacionaron con el dolor de hombro. Estos resultados ayudan a entender el mapa térmico en usuarios de sillas de ruedas. El último estudio referente a la evaluación de la temperatura de la piel en usuarios de sillas de ruedas en ejercicio, reportó diferencias significativas entre la temperatura de la piel antes del test y 10 minutos después del test de propulsión de silla de ruedas, en 12 ROIs; y entre el post-test y 10 minutos después del test en la mayoría de las ROIs. Estas diferencias se vieron atenuadas cuando se compararon las asimetrías antes y después del test. La temperatura de la piel tendió a disminuir inmediatamente después completar el ejercicio, e incrementar significativamente 10 minutos después. El análisis de las asimetrías vs dolor de hombro reveló relaciones significativas negativas en 5 de las 26 ROIs. No se encontraron correlaciones significativas entre las variables de propulsión y el cuestionario de dolor de hombro. Todas las variables cinemáticas correlacionaron significativamente con las asimetrías en múltiples ROIs. Estos resultados indican que los deportistas en sillas de ruedas exhiben una capacidad similar de producir calor que los deportistas sin discapacidad; no obstante, su patrón térmico es más característico de ejercicios prolongados que de esfuerzos breves. Este trabajo contribuye al conocimiento de la termorregulación en usuarios de sillas de ruedas durante el ejercicio, y aporta información relevante para programas deportivos y de rehabilitación. ABSTRACT Individuals who use wheelchairs as their main means of mobility have a high incidence (73%) of shoulder pain (SP) owing to overuse and repetitive propulsion movement. There are numerous diagnostic methods for the detection of shoulder pathologies, however the literature claims that a noninvasive accurate test to properly assess shoulder pain would be necessary, and suggests thermography as a suitable technique for joint pain evaluation. Infrared thermography (IRT) provides information about physiological processes by studying the skin temperature (Tsk) distributions. Due to the high correlation of skin temperature between both sides of the body, thermal asymmetries between contralateral flanks are an indicator of underlying pathologies or physical dysfunctions. The reliability of infrared thermography has been studied in healthy subjects but there are no studies that have analyzed the reliability of IRT in wheelchair users (WCUs). The special characteristics of people with disabilities (sweating and thermoregulation problems, or blood distribution) make it necessary to study the factors affecting the application of IRT in WCUs. Discrepant reports exist on the benefits of, or damage resulting from, physical exercise and the relationship to shoulder overuse injuries in WCUs. Recent findings have found that overhead sports increase the risk of rotator cuff tears in wheelchair patients with paraplegia. Since there is no agreement in the literature, the thermographic profile of wheelchair athletes and nonathletes and its relation with shoulder pain should also be analysed. Infrared thermographic studies during exercise have been carried out only with able-bodied population at present. The understanding of the thermographic response to wheelchair exercise in relation to shoulder pain will offer an insight into the development of shoulder pain, which is necessary for appropriate interventions. The first study presented in this thesis demonstrates that the reliability of IRT in WCUs varies depending on the areas of the body that are analyzed. Moreover, it corroborates that IRT is a noninvasive and noncontact technique that allows the measurement of Tsk, which will allow for advances to be made in research concerned with WCUs. The second study provides a thermal profile of WCUs. Nonathletic subjects presented higher side-to-side skin temperature differences (ΔTsk) than athletes, and both had greater ΔTsk than the able-bodied results that have been published in the literature. Nonathletes also revealed larger Wheelchair Users Shoulder Pain Index (WUSPI) score than athletes. The shoulder region of interest (ROI) was the area with the highest ΔTsk of the regions measured. The analysis of the athletes’ Tsk showed that some ROIs are related to shoulder pain. These findings help to understand the thermal map in WCUs. Finally, the third study evaluated the thermal response of WCUs in exercise. There were significant differences in Tsk between the pre-test and the post-10 min in 12 ROIs, and between the post-test and the post-10 in most of the ROIs. These differences were attenuated when the ΔTsk was compared before and after exercise. Skin temperature tended to initially decrease immediately after the test, followed by a significant increase at 10 minutes after completing the exercise. The ΔTsk versus shoulder pain analysis yielded significant inverse relationships in 5 of the 26 ROIs. No significant correlations between propulsion variables and the results of the WUSPI questionnaire were found. All kinematic variables were significantly correlated with the temperature asymmetries in multiple ROIs. These results present indications that high performance wheelchair athletes exhibit similar capacity of heat production to able-bodied population; however, they presented a thermal pattern more characteristic of a prolonged exercise rather than brief exercise. This work contributes to improve the understanding about temperature changes in wheelchair athletes during exercise and provides implications to the sports and rehabilitation programs.

Comparison of methods for downscaling runoff from regional climate models in Spanish basins

At present there is much literature that refers to the advantages and disadvantages of different methods of statistical and dynamical downscaling of climate variables projected by climate models. Less attention has been paid to other indirect variables, like runoff, which play a significant role in evaluating the impact of climate change on hydrological systems. Runoff presents a much greater bias in climate models than other climate variables, like temperature or precipitation. It is very important to identify the methods that minimize bias while downscaling runoff from the gridded results of climate models to the basin scale

A comparison among different spectrum compatible earthquake simulation methods

The need for the simulation of spectrum compatible earthquake time histories has existed since earthquake engineering for complicated structures began. More than the safety of the main structure, the analysis of the equipment (piping, racks, etc.) can only be assessed on the basis of the time history of the floor in which they are contained. This paper presents several methods for calculating simulated spectrum compatible earthquakes as well as a comparison between them. As a result of this comparison, the use of the phase content in real earthquakes as proposed by Ohsaki appears as an effective alternative to the classical methods. With this method, it is possible to establish an approach without the arbitrary modulation commonly used in other methods. Different procedures are described as is the influence of the different parameters which appear in the analysis. Several numerical examples are also presented, and the effectiveness of Ohsaki's method is confirmed.

A comparison between PML, infinite elements and an iterative BEM as mesh truncation methods for HP self-adaptive procedures in electromagnetics

Finite element hp-adaptivity is a technology that allows for very accurate numerical solutions. When applied to open region problems such as radar cross section prediction or antenna analysis, a mesh truncation method needs to be used. This paper compares the following mesh truncation methods in the context of hp-adaptive methods: Infinite Elements, Perfectly Matched Layers and an iterative boundary element based methodology. These methods have been selected because they are exact at the continuous level (a desirable feature required by the extreme accuracy delivered by the hp-adaptive strategy) and they are easy to integrate with the logic of hp-adaptivity. The comparison is mainly based on the number of degrees of freedom needed for each method to achieve a given level of accuracy. Computational times are also included. Two-dimensional examples are used, but the conclusions directly extrapolated to the three dimensional case.

Comparison of methods for the analysis of Phase Sensitivity Inversion Recovery Images in the Assessment of Myocardial Infarction

Métodos estadísticos para análisis de MRI PSIR

Review and comparison of effective delayed neutron fraction calculation methods with Monte Carlo codes

The calculation of the effective delayed neutron fraction, beff , with Monte Carlo codes is a complex task due to the requirement of properly considering the adjoint weighting of delayed neutrons. Nevertheless, several techniques have been proposed to circumvent this difficulty and obtain accurate Monte Carlo results for beff without the need of explicitly determining the adjoint flux. In this paper, we make a review of some of these techniques; namely we have analyzed two variants of what we call the k-eigenvalue technique and other techniques based on different interpretations of the physical meaning of the adjoint weighting. To test the validity of all these techniques we have implemented them with the MCNPX code and we have benchmarked them against a range of critical and subcritical systems for which either experimental or deterministic values of beff are available. Furthermore, several nuclear data libraries have been used in order to assess the impact of the uncertainty in nuclear data in the calculated value of beff .

Determination of pH dependent antioxidant activity of Palm (Borassus flabellifer) Polyphenol compounds by Photoluminol and DPPH methods -A Comparison redox-reaction Sensitivity

Palm juice (Borassus flabellifer) is one of the most common and cheap natural juices. Fermented palm juice contains various phytochemical compounds that exhibit antioxidant activity. In the present study, we examined the effects of pH on the production of phytochemicals and their antioxidant activity during the fermentation process. The concentration of total phenolics and flavonoid compounds of fermented palm juice and their antioxidant activity were investigated at various pH. The results showed that total phenolics concentration and antioxidant activity of palm wine and palm vinegar increase as pH increases: 3.54.55.5. Maximum flavonoid concentration was obtained at pH 6.5. Measurements of antioxidant activity by conventional DPPH method and Photochem antioxidant analyzer technique were highly correlated, with a corresponding R2 value of 0.94.

Comparison of Airborne Laser Scanning Methods for Estimating Forest Structure Indicators Based on Lorenz Curves

The purpose of this study was to compare a number of state-of-the-art methods in airborne laser scan- ning (ALS) remote sensing with regards to their capacity to describe tree size inequality and other indi- cators related to forest structure. The indicators chosen were based on the analysis of the Lorenz curve: Gini coefficient ( GC ), Lorenz asymmetry ( LA ), the proportions of basal area ( BALM ) and stem density ( NSLM ) stocked above the mean quadratic diameter. Each method belonged to one of these estimation strategies: (A) estimating indicators directly; (B) estimating the whole Lorenz curve; or (C) estimating a complete tree list. Across these strategies, the most popular statistical methods for area-based approach (ABA) were used: regression, random forest (RF), and nearest neighbour imputation. The latter included distance metrics based on either RF (NN–RF) or most similar neighbour (MSN). In the case of tree list esti- mation, methods based on individual tree detection (ITD) and semi-ITD, both combined with MSN impu- tation, were also studied. The most accurate method was direct estimation by best subset regression, which obtained the lowest cross-validated coefficients of variation of their root mean squared error CV(RMSE) for most indicators: GC (16.80%), LA (8.76%), BALM (8.80%) and NSLM (14.60%). Similar figures [CV(RMSE) 16.09%, 10.49%, 10.93% and 14.07%, respectively] were obtained by MSN imputation of tree lists by ABA, a method that also showed a number of additional advantages, such as better distributing the residual variance along the predictive range. In light of our results, ITD approaches may be clearly inferior to ABA with regards to describing the structural properties related to tree size inequality in for- ested areas.

Comparison of linear and non-linear 2D+T registration methods for DE-MRI cardiac perfusion studies

A series of motion compensation algorithms is run on the challenge data including methods that optimize only a linear transformation, or a non-linear transformation, or both – first a linear and then a non-linear transformation. Methods that optimize a linear transformation run an initial segmentation of the area of interest around the left myocardium by means of an independent component analysis (ICA) (ICA-*). Methods that optimize non-linear transformations may run directly on the full images, or after linear registration. Non-linear motion compensation approaches applied include one method that only registers pairs of images in temporal succession (SERIAL), one method that registers all image to one common reference (AllToOne), one method that was designed to exploit quasi-periodicity in free breathing acquired image data and was adapted to also be usable to image data acquired with initial breath-hold (QUASI-P), a method that uses ICA to identify the motion and eliminate it (ICA-SP), and a method that relies on the estimation of a pseudo ground truth (PG) to guide the motion compensation.