20 results on '"Barbero-García, Inés"'
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2. Near-infrared hyperspectral imaging and robust statistics for in vivo non-melanoma skin cancer and actinic keratosis characterisation
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Courtenay, Lloyd A., primary, Barbero-García, Inés, additional, Martínez-Lastras, Saray, additional, Del Pozo, Susana, additional, Corral de la Calle, Miriam, additional, Garrido, Alonso, additional, Guerrero-Sevilla, Diego, additional, Hernandez-Lopez, David, additional, and González-Aguilera, Diego, additional
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- 2024
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3. Spherical harmonics to quantify cranial asymmetry in deformational plagiocephaly
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Grieb, Jonas, Barbero-García, Inés, and Lerma, José Luis
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- 2022
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4. Combining machine learning and close-range photogrammetry for infant’s head 3D measurement: A smartphone-based solution
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Barbero-García, Inés, Pierdicca, Roberto, Paolanti, Marina, Felicetti, Andrea, and Lerma, José Luis
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- 2021
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5. Fully automatic smartphone-based photogrammetric 3D modelling of infant’s heads for cranial deformation analysis
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Barbero-García, Inés, Lerma, José Luis, and Mora-Navarro, Gaspar
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- 2020
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6. PhotoMatch: An Open-Source Tool for Multi-View and Multi-Modal Feature-Based Image Matching
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Ruiz de Oña, Esteban, primary, Barbero-García, Inés, additional, González-Aguilera, Diego, additional, Remondino, Fabio, additional, Rodríguez-Gonzálvez, Pablo, additional, and Hernández-López, David, additional
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- 2023
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7. Low-Cost Smartphone-Based Photogrammetry for the Analysis of Cranial Deformation in Infants
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Barbero-García, Inés, Lerma, José Luis, Marqués-Mateu, Ángel, and Miranda, Pablo
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- 2017
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8. A Novel Approach for the Shape Characterisation of Non-Melanoma Skin Lesions Using Elliptic Fourier Analyses and Clinical Images
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Courtenay, Lloyd A., primary, Barbero-García, Inés, additional, Aramendi, Julia, additional, González-Aguilera, Diego, additional, Rodríguez-Martín, Manuel, additional, Rodríguez-Gonzalvez, Pablo, additional, Cañueto, Javier, additional, and Román-Curto, Concepción, additional
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- 2022
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9. Deep Convolutional Neural Support Vector Machines for the Classification of Basal Cell Carcinoma Hyperspectral Signatures
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Courtenay, Lloyd A., primary, González-Aguilera, Diego, additional, Lagüela, Susana, additional, Pozo, Susana Del, additional, Ruiz, Camilo, additional, Barbero-García, Inés, additional, Román-Curto, Concepción, additional, Cañueto, Javier, additional, Santos-Durán, Carlos, additional, Cardeñoso-Álvarez, María Esther, additional, Roncero-Riesco, Mónica, additional, Hernández-López, David, additional, Guerrero-Sevilla, Diego, additional, and Rodríguez-Gonzalvez, Pablo, additional
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- 2022
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10. Spherical harmonics to quantify cranial asymmetry in deformational plagiocephaly
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Grieb, Jonas, Barbero-García, Inés, and Lerma, José Luis
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Models, Anatomic ,Patient-Specific Modeling ,Cephalometry ,Science ,Article ,3D photography ,Imaging, Three-Dimensional ,Predictive Value of Tests ,Image Interpretation, Computer-Assisted ,Diagnosis ,Humans ,Spherical harmonics ,Multidisciplinary ,Deformational plagiocephaly ,Plagiocephaly, Nonsynostotic ,Skull ,Paediatrics ,Applied mathematics ,Case-Control Studies ,Photogrammetry ,INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA ,Medicine ,Cranial asymmetry ,Algorithms - Abstract
[EN] Cranial deformation and deformational plagiocephaly (DP) in particular affect an important percentage of infants. The assessment and diagnosis of the deformation are commonly carried by manual measurements that provide low interuser accuracy. Another approach is the use of three-dimensional (3D) models. Nevertheless, in most cases, deformation measurements are carried out manually on the 3D model. It is necessary to develop methodologies for the detection of DP that are automatic, accurate and take profit on the high quantity of information of the 3D models. Spherical harmonics are proposed as a new methodology to identify DP from head 3D models. The ideal fitted ellipsoid for each head is computed and the orthogonal distances between head and ellipsoid are obtained. Finally, the distances are modelled using spherical harmonics. Spherical harmonic coefficients of degree 2 and order - 2 are identified as the correct ones to represent the asymmetry characteristic of DP. The obtained coefficient is compared to other anthropometric deformation indexes, such as Asymmetry Index, Oblique Cranial Length Ratio, Posterior Asymmetry Index and Anterior Asymmetry Index. The coefficient of degree 2 and order - 2 with a maximum degree of 4 is found to provide better results than the commonly computed anthropometric indexes in the detection of DP., This article was funded by Instituto de Salud Carlos III and European Regional Development Fund (FEDER) (Grant no. PI18/00881).
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- 2021
11. Hyperspectral imaging and robust statistics in non-melanoma skin cancer analysis
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Courtenay, Lloyd A., primary, González-Aguilera, Diego, additional, Lagüela, Susana, additional, del Pozo, Susana, additional, Ruiz-Mendez, Camilo, additional, Barbero-García, Inés, additional, Román-Curto, Concepción, additional, Cañueto, Javier, additional, Santos-Durán, Carlos, additional, Cardeñoso-Álvarez, María Esther, additional, Roncero-Riesco, Mónica, additional, Hernandez-Lopez, David, additional, Guerrero-Sevilla, Diego, additional, and Rodríguez-Gonzalvez, Pablo, additional
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- 2021
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12. Development of a Photogrammetric Tool for Cranial Deformation Analysis in Infants
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Barbero García, Inés
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Modelado 3D ,Data processing ,Plagiocephaly ,business.industry ,Computer science ,Modelado tridimensional ,Teléfono inteligente ,Deformation (meteorology) ,Plagiocefalia ,3D modelling ,Fotogrametría ,Photogrammetry ,Software ,Data acquisition ,Data quality ,INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA ,Calipers ,Computer vision ,Smartphone ,Artificial intelligence ,business ,Tape measure - Abstract
[ES] La fotogrametría ha demostrado un gran potencial para la obtención de mediciones precisas en diferentes campos de estudio, incluyendo la medicina. La deformación craneal es un problema con una alta prevalencia entre lactantes durante sus primeros años de vida, esta deformación puede tener diferentes causas y riesgos asociados. La causa más común de las deformaciones es posicional, este tipo de deformaciones se han asociado durante mucho tiempo a problemas únicamente estéticos. Sin embargo, diferentes autores han puesto de manifiesto la posible relación entre deformaciones posicionales y retrasos en el desarrollo. Otro tipo de deformación craneal es el causado por el cierre prematuro de algunas suturas craneales, que puede tener como consecuencia importantes riesgos para la salud de los lactantes y a menudo es corregido mediante cirugía. La detección precoz de estas deformaciones es importante para asegurar los mejores resultados futuros, ya que el cráneo es especialmente maleable durante los primeros meses de vida. La correcta monitorización de los pacientes también hace posible la evaluación de los diferentes tratamientos posibles y asegura una mejor evolución. Las metodologías actuales para la evaluación de la deformación craneal pueden dividirse en tres grupos principales: 1) Mediciones de bajo coste, realizadas con dispositivos simples como cinta métrica y calibre, o mediante un simple análisis visual; 2) Pruebas radiológicas, en concreto Tomografía Computerizada e Imagen por Resonancia Magnética, son consideradas la opción más precisa pero tienen un alto coste y son invasivas y 3) Soluciones basadas en imagen o escáneres 3D, que no son invasivas pero si tienen un alto coste y, como consecuencia, no están presentes en la práctica clínica habitual. En esta tesis doctoral se han estudiado las posibilidades de la fotogrametría como método para evaluar la deformación craneal en lactantes y se ha desarrollado una herramienta para llevarlo a cabo. La herramienta presentada es de bajo coste, objetiva y no invasiva, ya que no es necesaria la sedación de los pacientes. El mayor reto de este proyecto fue la obtención de datos con lactantes en movimiento durante una consulta médica rutinaria. En primer lugar, se utilizó cámara réflex para crear modelos 3D de la cabeza de los lactantes. La metodología generó modelos con una precisión adecuada pero la toma de datos requería largos periodos de tiempo y el montaje de diferentes dispositivos. El procesado de los datos también requería un largo periodo de tiempo al ser totalmente manual y requería de la intervención de un experto. Se han estudiado las necesidades para el desarrollo de una herramienta capaz de obtener de forma automática modelos 3D de las cabezas de lactantes en movimiento, y se ha desarrollado una herramienta innovadora. Esta herramienta consiste en un gorro codificado, que funciona junto a una aplicación móvil y guía al usuario durante la toma de datos, como consecuencia, no es necesario ningún conocimiento de fotogrametría por parte de este. Los datos son procesados en un servidor, obteniéndose el modelo y los parámetros de deformación en un tiempo aproximado de 4 minutos y con una precisión de 2 mm. Con el objetivo de hacer la herramienta útil para el personal médico, diferentes índices y parámetros de deformación se obtienen de forma automática a partir del modelo. La fotogrametría es una técnica válida para obtener datos de gran calidad y superar los retos que supone esta aplicación en concreto. Junto con el software desarrollado, la fotogrametría es la base para de una herramienta totalmente automatizada y optimizada para su uso en clínicas y hospitales. La herramienta desarrollada es altamente coste-efectiva y mejora considerablemente las opciones disponibles, ya que permite precisiones similares a soluciones complejas, pero con la ventaja de ser totalmente portable y de bajo coste., [CA] La fotogrametria ha demostrat un gran potencial per a l'obtenció de mesuraments precises en diferents camps d'estudi, incloent la medicina. La deformació cranial és un problema amb una alta prevalença entre lactants durant els seus primers anys de vida, esta deformació pot tindre diferents causes i riscos associats. La causa més comuna de les deformacions és posicional, este tipus de deformacions s'han associat durant molt de temps a problemes únicament estètics. No obstant això, diferents autors han posat de manifest la possible relació entre deformacions posicionals i retards en el desenrotllament. Un altre tipus de deformació cranial és el causat pel tancament prematur d'algunes sutures cranials, que pot tindre com a conseqüència importants riscos per a la salut dels lactants i sovint és corregit per mitjà de cirurgia. La detecció precoç d'estes deformacions és important per a assegurar els millors resultats futurs ja que el crani és especialment mal·leable durant els primers mesos de vida. La correcta monitorització dels pacients també fa possible l'avaluació dels diferents tractaments possibles i assegura una millor evolució. Les metodologies actuals per a l'avaluació de la deformació cranial poden dividir-se en tres grups principals: 1) Mesuraments de baix cost, realitzades amb dispositius simples com a cinta mètrica i calibre, o per mitjà d'una simple anàlisi visual; 2) Proves radiològiques, en concret Tomografia Computeritzada i Imatge per Ressonància Magnètica, són considerades l'opció més precisa però tenen un alt cost i són invasives; i 3) Solucions basades en imatge o escàners 3D, que no són invasives però si tenen un alt cost i, com a conseqüència, no estan presents en la pràctica clínica habitual. En esta tesi doctoral s'han estudiat les possibilitats de la fotogrametria com a mètode per a avaluar la deformació cranial en lactants i s'ha desenrotllat una ferramenta per a dur-ho a terme. La ferramenta presentada és de baix cost, objectiva i no invasiva, ja que no és necessària la sedació dels pacients. El major repte d'este projecte va ser l'obtenció de dades amb lactants en moviment durant una consulta mèdica rutinària. En primer lloc, es va utilitzar càmera rèflex per a crear models 3D del cap dels lactants. La metodologia va generar models amb una precisió adequada però la presa de dades requeria llargs períodes de temps i el muntatge de diferents dispositius. El processat de les dades també requeria un llarg període de temps al ser totalment manual i requeria de la intervenció d'un expert. S'han estudiat les necessitats per al desenrotllament d'una ferramenta capaç d'obtindre de forma automàtica models 3D dels caps de lactants en moviment, i s'ha desenrotllat una ferramenta innovadora. Esta ferramenta consisteix en una capelina codificada, que funciona junt amb una aplicació mòbil i guia l'usuari durant la presa de dades, com a conseqüència, no cal cap coneixement de fotogrametria per part d'este. Les dades són processats en un servidor, obtenint-se el model i els paràmetres de deformació en un temps aproximat de 4 minuts i amb una precisió de 2 mm. Amb l'objectiu de fer la ferramenta útil per al personal metge, diferents índexs i paràmetres de deformació s'obtenen de forma automàtica a partir del model. La fotogrametria és una tècnica vàlida per a obtindre dades de gran qualitat i superar els reptes que suposa esta aplicació en concret. Junt amb el programari desenrotllat, la fotogrametria és la base para d'una ferramenta totalment automatitzada i optimitzada per al seu ús en clíniques i hospitals. La ferramenta desenrotllada és altament cost-efectiva i millora considerablement les opcions disponibles, ja que permet precisions semblants a solucions complexes, però amb l'avantatge de ser totalment portable i de baix cost., [EN] Image-based and range-based solutions have great potential for accurate measurements in many different fields, including medicine. Cranial deformation is a problem with high prevalence among infants during their first months of life. Cranial deformation has different causes and associated risks. Most common deformations have positional causes and have long been considered to cause aesthetical problems only. Nowadays, authors are pointing at these deformations as a possible indicator of future developmental delays. Another type of cranial deformation is caused by the early closing of cranial sutures, that can lead to important health risks and is usually corrected by surgery. Early detection of the deformation leads to better development prospects, as cranium is especially malleable during the first months of life. Good monitoring also provides better data for evaluation of the different correction procedures, improving the outcome of the patients over time. Cranial deformation evaluation methodologies can be divided into three mean groups: 1) Low-cost measurements carried out by simple tools such as calliper and measuring tape and even visual assessment; 2) Radiological tests (Computed Tomography (CT) and Magnetic Resonance Imaging (MRI)), considered the gold standard, but costly and highly invasive; and 3) Image-based and range-based commercial solutions, non-invasive but too costly to be implemented as part of the clinical routine in many hospitals and clinics. In this doctoral thesis, the possibilities of photogrammetry as a method for cranial deformation assessment has been studied and a novel tool has been developed. The tool was required to be low-cost, objective and non-invasive, so no sedation would be required. The main challenge of the project was dealing with the movement of the infants during the consultation. In the first place, single-lens reflex (SLR) cameras were used to obtain head models of the patients. The methodology provided the required accuracy but the data acquisition was time-consuming and required an important setup. The data processing was also time-consuming, being totally manual and requiring expert users. The necessities to automatically obtain accurate 3D models from moving infants were studied and a novel tool was developed. The developed tool consists of a coded cap that works together with a smartphone app to guide the user during the data acquisition. Therefore, no expertise is required for data acquisition. The data is later processed on a server and the model and deformation parameters are made available to the user in less than 4 minutes with an accuracy of 2 mm. In order to make the model valuable for doctors, automatic measurements and deformation indexes are extracted from the model. Photogrammetry is a suitable technique to obtain high quality data and overcome the limitations. Together with ad-hoc developed software, it is the base of a fully automatic tool that is optimised for its use in clinics and hospitals. The developed tool is considered highly cost-effective and an important improvement as it provides similar data as existing costly setups, but it is also low-cost and portable., This project was founded by a predoctoral fellowship from Generalitat Valenciana and the European Social Fund, grant number ACIF/2017/056.
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- 2021
13. Assessment of Registration Methods for Cranial 3D Modelling
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Barbero-García, Inés, primary and Lerma, José Luis, additional
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- 2019
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14. Smartphone-based photogrammetric 3D modelling assessment by comparison with radiological medical imaging for cranial deformation analysis
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Barbero-García, Inés, primary, Lerma, José Luis, additional, Miranda, Pablo, additional, and Marqués-Mateu, Ángel, additional
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- 2019
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15. Fixed point photography as a hydromorphology monitoring tool
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Barbero García, Inés
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Hidrología ,Ecology ,Environment agency ,Fixed point ,Ecología ,Máster Universitario en Ingeniería Geomática y Geoinformación-Màster Universitari en Enginyeria Geomàtica i Geoinformació ,Channel ,Fotogrametría ,Rivers ,Photogrammetry ,INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA ,Stream ,Hidrology ,Cauce ,Rios - Abstract
[EN] Assessing and monitoring river areas is necessary to support river management and restoration processes. As rivers change over short periods of time assessment methods need to be quick, reliable and cost/time-effective. Fixed point photography has potential, but some challenges remain. A methodology has been developed in order to obtain useful information from sets of multitemporal images. First, the images are registered to a common coordinate system, both automatic and manual methodologies were developed. Second, vegetation and water features were extracted. Vegetation coverage can be obtained using a combination of Green Leaf Algorithm (GLA) and texture characteristics. Water presence-absence is derived from the images using a combination of different clues, such as hue, saturation, brightness, texture and ground detection techniques. The extracted features allow the evaluation of changes over time. However, the accuracy of the results is limited by the differences in image conditions; such as illumination, orientation, and point of view location. Another important limitation is water correct segmentation, which remains an important challenge in RGB images. Therefore, some improvements to current photo-based monitoring programs are proposed, such as the use of stereo or NIR images, or measures to allow the photographs to be taken from the same exact location every time., [ES] El proyecto busca investigar cómo podría aplicarse la fotografía de punto fijo para la creación de una línea temporal que muestre los cambios en los ríos desde el punto de vista ecológico y geomorfológico. Se deberán identificar las variables a extraer de las fotografías mediante la revisión de la literatura reciente (ej. Cobertura vegetal, tipo de vegetación, anchura del cauce, sedimento, profundidad del cauce) y desarrollar una metodología para ello de forma tan automatizada como sea posible. El proyecto se realizará en colaboración con la Agencia Medioambiental de Reino Unido (Environment Agency) y se utilizarán las fotografías del programa Springs to Source . Estas imágenes son tomadas mensualmente y pueden complementarse con información de otras fuentes, como estaciones de aforo, si se considera necesario.
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- 2017
16. Smartphone-based close-range photogrammetric assessment of spherical objects
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Barbero-García, Inés, primary, Cabrelles, Miriam, additional, Lerma, José Luis, additional, and Marqués-Mateu, Ángel, additional
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- 2018
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17. Smartphone-based video for 3D modelling: Application to infant’s cranial deformation analysis
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Lerma, José Luis, primary, Barbero-García, Inés, additional, Marqués-Mateu, Ángel, additional, and Miranda, Pablo, additional
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- 2018
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18. Estudio del comportamiento hidrológico de una pequeña cuenca forestal
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Barbero García, Inés
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Barranco de la Murta ,Hidrología ,Grado en Ingeniería en Geomática y Topografía-Grau en Enginyeria Geomàtica i Topografia ,INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA ,PRODUCCION VEGETAL ,Sistemas de Información Geográfica (SIG) ,Cuenca forestal ,Hydrology ,GIS ,Water runoff ,Escorrentía - Abstract
[ES] La finalidad del estudio es la determinación del caudal pico de escorrentía para una cuenca de pequeño tamaño situada en la provincia de Valencia. La escorrentía, o cantidad de agua que circula por la superficie de una cuenca, es responsable de importantes procesos erosivos, además puede poner en peligro la integridad de gran cantidad de obras públicas como carreteras, canales o embalses, o incluso dar lugar a inundaciones. La correcta determinación de la escorrentía permite estudiar estos procesos y generar planes de actuación. En el presente proyecto se ha llevado a cabo un estudio hidrológico de una cuenca de aproximadamente 800 Ha, situada entre los términos municipales de Alcira y Corbera. El tratamiento de los datos necesarios, se ha realizado utilizando Sistema de Información Geográfico, principalmente en lo relativo a la obtención de los parámetros que relacionan la precipitación con la escorrentía. Los cálculos de escorrentía se han realizado por el Método Racional y el Método del Número de Curva., [EN] The aim of this project is to determine the peak flow for a small river basin placed in the region of Valencia, Spain. The runoff, or quantity of water flowing on the surface of a river basin, is responsible for important erosion processes. It can also entail a risk for a wide number of infrastructures such as channels, roads or reservoirs. Ultimately, it may even cause a flood. Determining runoff correctly allows us to study all this processes and create useful prevention plans. Collected data has been processed using Geographical Information Systems, mostly to obtain the parameters that relate rainfall and runoff flow. Runoff calculation has been carried out by using the Rational Formula and the Curve Number Method.
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- 2014
19. Development of a Photogrammetric Tool for Cranial Deformation Analysis in Infants
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Barbero García, Inés, primary
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20. Using computational learning for non-melanoma skin cancer and actinic keratosis near-infrared hyperspectral signature classification.
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Courtenay LA, Barbero-García I, Martínez-Lastras S, Del Pozo S, Corral M, and González-Aguilera D
- Abstract
Background: The early detection of Non-Melanoma Skin Cancer (NMSC) is essential to ensure patients receive the most effective treatment. Diagnostic screening tools for NMSC are crucial due to high confusion rates with other types of skin lesions, such as Actinic Keratosis. Nevertheless, current means of diagnosing and screening patients rely on either visual criteria, that are often conditioned by subjectivity and experience, or highly invasive, slow, and costly methods, such as histological diagnoses. From this, the objectives of the present study are to test if classification accuracies improve in the Near-Infrared region of the electromagnetic spectrum, as opposed to previous research in shorter wavelengths., Methods: This study utilizes near-infrared hyperspectral imaging, within the range of 900.6 and 1454.8 nm. Images were captured for a total of 125 patients, including 66 patients with Basal Cell Carcinoma, 42 with cutaneous Squamous Cell Carcinoma, and 17 with Actinic Keratosis, to differentiate between healthy and unhealthy skin lesions. A combination of hybrid convolutional neural networks (for feature extraction) and support vector machine algorithms (as a final activation layer) was employed for analysis. In addition, we test whether transfer learning is feasible from networks trained on shorter wavelengths of the electromagnetic spectrum., Results: The implemented method achieved a general accuracy of over 80 %, with some tasks reaching over 90 %. F1 scores were also found to generally be over the optimal threshold of 0.8. The best results were obtained when detecting Actinic Keratosis, however differentiation between the two types of malignant lesions was often noted to be more difficult. These results demonstrate the potential of near-infrared hyperspectral imaging combined with advanced machine learning techniques in distinguishing NMSC from other skin lesions. Transfer learning was unsuccessful in improving the training of these algorithms., Conclusions: We have shown that the Near-Infrared region of the electromagnetic spectrum is highly useful for the identification and study of non-melanoma type skin lesions. While the results are promising, further research is required to develop more robust algorithms that can minimize the impact of noise in these datasets before clinical application is feasible., Competing Interests: Declaration of competing interest The corresponding author has no conflicts of interest to declare., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)
- Published
- 2024
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