Levy Aniceto Santana

An image mining based approach to detect pressure ulcer stage

Treatment of pressure ulcers (PU) is essentially image dependent, because its surface provides relevant visual information for medical procedures. There is an increasing interest to adapt Information Technology advances for a more effective medical image processing. Artificial Intelligence concerned techniques, say Image Mining, can be very helpful to manage large amount of PU images in order to increase productivity of health professionals and patients life quality. This paper proposes an Image Mining based system for automatic interpretation of tissue and color to support the treatment of patients with PU.

Mensuração de área de úlceras por pressão por meio dos softwares Motic e do AutoCAD

A ulcera por pressao e uma lesao parcial ou total das camadas da pele em determinadas regioes do corpo e seu processo de cicatrizacao pode ser acompanhado por meio de processamento de imagens. A analise da area da ulcera por pressao e relevante para avaliacao da sua evolucao e de sua resposta a procedimentos terapeuticos. Os softwares Motic e AutoCAD® permitem avaliar a area de regioes de uma imagem atraves da marcacao do seu contorno. Valendo-se dessa tecnica, 35 voluntarios determinaram as areas de duas ulceras por pressao grau III pelos dois tipos de software. Concluiu-se que eles apresentam resultados clinicamente concordantes e podem assim ser utilizados para acompanhamento da evolucao da cicatrizacao de ulceras por pressao.Pressure ulcer is a lesion that affects skin layers in some regions of the body and its healing can be followed up using image processing. The analysis of pressure ulcer area is relevant to evaluate its evolution and response to therapeutic procedures. Such areas can be evaluated through contour marking with the softwares Motic and AutoCAD®. In this study 35 volunteers computed areas from two grade III pressure ulcers using these instruments. It was possible to conclude that results are clinically equivalent and so can be considered to follow up healing evolution from pressure ulcers.

Improving image mining through Geoprocessing

Geoprocessing Information Systems (GIS) deal with structured information concerned some geographical localization. So one uses three-dimensional image representation systems in a huge database, where it is possible to insert many data about some interest domain, say, agriculture, economics, industry, demographics and so on. Images are powerful information sources that can soundly support decision making processes. An image can be seen as a set of elements with spatial localization and color. To interpret an image includes deriving clusters and relations between such elements. This article proposes an integration of Geoprocessing and Image Mining to support image based decisions in several domains such as healthcare.

Aferição não-invasiva de úlcera por pressão simulada em modelo plano

That is an quasi-experimental study that aims to improve and make portable an existing method for projecting light points to estimate geometrical properties of a cavity. A computer vision system was developed in order to process input images and calculate volume and depth of a cavity in a plain surface. An error of 1,51% for depth and -10,42% for volume occurred. So this is an adequate method for estimating geometrical properties of cavities with accuracy errors compatible with those errors described in the literature.Estudio casi-Afericao nao-invasiva de ulcera por pressao simulada em modelo planoexperimental, con el objetivo de perfeccionar el sistema de proyeccion de los puntos luminosos de un metodo ya existente, volviendolo portatil, y verificar la acuracia de ese nuevo sistema. El estudio realizado a traves del desarrollo de um sistema de fotografia digitalizada y procesada por la vision computacional en un modelo de superficie llana. Los resultados mostraron um error de 1,51% para la profundidad y de -10,42% para el volumen, concluyendo ser metodo adecuado para la evaluacion de los descriptos em la literatura.

Area evaluation using image processing tools: An applied study to pressure ulcer monitoring

Monitoring of pressure ulcer (PU) healing process is essentially based on image analysis. Geometrical, texture and color features enable decisions about therapeutic procedures to be adopted. A PU emerges when a soft tissue is compressed. Its area is a geometrical features that can be non4nvasively, through image processing, evaluated and is an important indicator of healing evolution. Softwares Motic and AutoCAD allow evaluating area from image regions through computational contour marking. Using this technique, areas from two grade III PUs were evaluated by 35 volunteers. A statistical comparison between them showed that they are equivalent for clinical purposes, allowing, therefore, an improved accompaniment of the evolution of the healing process of PUs.

Basic ideas to support pressure ulcers treatment by means of image mining

A Pressure ulcer (PU) occurs in a significant amount of patients that must remain in bed without movements for long periods. To improve its treatment in order to increase patient life quality and to reduce medical healthcare is yet a challenge. It seems to be helpful to search for medical decision making information in both PU images features and in data concerning patient life so far. Once suitably stored such information sets data and image mining procedures are supposed to be able to allow inferences and finding of patient clusters. Is seems to be also possible computationally to generate a PU grade inference that will help medical experts to accomplish therapeutic procedures. Current research efforts with such purposes are here presented.

An approach to provide visual information to support skin wounds therapy

Availability of visual information means an effective way to improve specialized work in quite different areas. They enable reality modeling, a faster context analysis, a more successful search for problem solutions, an objective oriented decision making, as well as important elements for instructional processes. Avisual model is a simulation form that stimulate insights, say, creative answers to yet open questions and derivation of yet not imagined possible facts concerning a studied reality. Visual features of human body are highly relevant as basic information for a variety of decisions on activities in health domain. Through mechanisms of user-friendly interface one can promptly access and eventually perform adjustments. One can achieve better life quality and greater efficiency in health service from state as well. This paper describes an approach towards a visualization process of skin lesions, including features recognition for therapeutic processes and relevant decisions, with experimental validation.

ESTUDO COMPARATIVO ENTRE AS TÉCNICAS MANUAL E AUTOM ÁTICA DE DEMARCAÇÃO DE BORDA PARA AVALIAÇÃO DE ÁREA DE ÚLCERAS POR PRESSÃO

Objetivo: comparar a acuracia entre a tecnica manual e automatica de demarcacao da borda da ferida para calculo de area pelo software ImageJ para avaliacao de ulceras por pressao (UP). Metodologia: trata-se de um estudo transversal controlado com analise computacional de imagens realizada em 35 fotografias digitais de ulceras por pressao (UP) localizadas nas regioes sacral, trocanteriana e isquiatica. O software utilizado para calculo de propriedades (ImageJ) e um recurso nao invasivo, reprodutivel, objetivo e de uso viavel na pratica clinica para delimitacao da area de feridas. Utilizou-se o software SPSS (Statistical Package for the Social Sciences) para a analise descritiva dos dados, concordância entre as medidas pelo procedimento de Bland e Atman. Resultados: observou-se pouca concordância entre as tecnicas. A tecnica automatica denominada Brightness/Contrast demonstrou medidas mais aproximadas a tecnica manual para avaliacao de area de UP. Conclusao: ambas as tecnicas computacionais, manual e automatica do software ImageJ, para calculo de area de UP, demonstraram boa correlacao positiva, mas tambem pouca concordância entre as tecnicas, quando comparadas. Descritores: Cicatrizacao de Feridas; Ulceras por Pressao; Avaliacao COMPARATIVE STUDY BETWEEN MANUAL AND AUTOMATIC TECHNIQUES TO PINPOINT WOUND EDGES DURING PRESSURE ULCERS PERIMETER EVALUATION Objective: to compare the accuracy between manual and automatic perimeter estimation technique to pinpoint wound edges using the software ImageJ to ascertain pressure ulcers (PU). Methodology: through a controlled transversal investigation using 35 pressure ulcers (PU) digital photographs taken in the sacral, trochanter and ischium areas. The software used to determine its properties (ImageJ) is a noninvasive, objective and reproducible practical resource to use in clinical practice to delimit the wound area. The SPSS (Statistical Package for the Social Sciences) software made possible a descriptive analysis of data and concordance between the measurements using Bland and Altman procedure. Results: a slight agreement between the techniques has been discovered. The automated technique known as Brightness/Contrast displayed results closer to the manual technique to estimate PU area. Conclusion: both computational techniques, manual and automatic, of the ImageJ software to estimate PU area showed sound positive correlation, but also limited correlation between the techniques, when cross-checked. Descriptors: Wound healing; Pressure ulcers; Measurement. INVESTIGACION COMPARATIVA ENTRE LAS TECNICAS MANUAL Y AUTOM ATICA DE DEMARCACI ON DE BORDE PARA EVALUACI ON DEL AREA DE ULCERAS POR DECUBITO Objetivo: comparar la precision entre la tecnica manual y automatizada de demarcacion de borde de la lesion para calcular el area por el software ImageJ para evaluacion de ulceras por decubito (UD). Metodologia: tratase de una investigacion transversal manejada con el analisis computacional de imagenes de 35 fotografias digitales de ulceras por decubito (UD) localizadas en las regiones sacra, regiones trocanteras e isquiatica. El software utilizado para el calculo de propiedades (ImageJ) es un recurso no invasivo, reproducible, objetivo e de uso manejable en la practica clinica para la demarcacion del area de las lesiones. Se aplico el software SPSS (Statistical Package for the Social Sciences) para el analisis descriptivo de los datos, conformidad entre las mediciones por intermedio del metodo Bland y Atman. Resultados: se constato conformidad limitada entre las tecnicas. La tecnica automatica denominada Brightness/Contrast demostro mediciones mas proximas a la tecnica manual para evaluacion del area UD. Conclusion: las dos tecnicas computacionales, manual y automatizada del software ImageJ, para el calculo del area UD, han revelado gran correlacion positiva, pero tambien poca correlacion entre las tecnicas, cuando comparadas. Descriptores: Curacion de Heridas; Ulceras por Decubito; Evaluacion.

Mensuradón de área de úlceras por presión por medio de los programas informáticos Motic y AutoCAD

A ulcera por pressao e uma lesao parcial ou total das camadas da pele em determinadas regioes do corpo e seu processo de cicatrizacao pode ser acompanhado por meio de processamento de imagens. A analise da area da ulcera por pressao e relevante para avaliacao da sua evolucao e de sua resposta a procedimentos terapeuticos. Os softwares Motic e AutoCAD® permitem avaliar a area de regioes de uma imagem atraves da marcacao do seu contorno. Valendo-se dessa tecnica, 35 voluntarios determinaram as areas de duas ulceras por pressao grau III pelos dois tipos de software. Concluiu-se que eles apresentam resultados clinicamente concordantes e podem assim ser utilizados para acompanhamento da evolucao da cicatrizacao de ulceras por pressao.Pressure ulcer is a lesion that affects skin layers in some regions of the body and its healing can be followed up using image processing. The analysis of pressure ulcer area is relevant to evaluate its evolution and response to therapeutic procedures. Such areas can be evaluated through contour marking with the softwares Motic and AutoCAD®. In this study 35 volunteers computed areas from two grade III pressure ulcers using these instruments. It was possible to conclude that results are clinically equivalent and so can be considered to follow up healing evolution from pressure ulcers.

Evaluation of pressure ulcers area using the softwares Motic and AutoCAD

A ulcera por pressao e uma lesao parcial ou total das camadas da pele em determinadas regioes do corpo e seu processo de cicatrizacao pode ser acompanhado por meio de processamento de imagens. A analise da area da ulcera por pressao e relevante para avaliacao da sua evolucao e de sua resposta a procedimentos terapeuticos. Os softwares Motic e AutoCAD® permitem avaliar a area de regioes de uma imagem atraves da marcacao do seu contorno. Valendo-se dessa tecnica, 35 voluntarios determinaram as areas de duas ulceras por pressao grau III pelos dois tipos de software. Concluiu-se que eles apresentam resultados clinicamente concordantes e podem assim ser utilizados para acompanhamento da evolucao da cicatrizacao de ulceras por pressao.Pressure ulcer is a lesion that affects skin layers in some regions of the body and its healing can be followed up using image processing. The analysis of pressure ulcer area is relevant to evaluate its evolution and response to therapeutic procedures. Such areas can be evaluated through contour marking with the softwares Motic and AutoCAD®. In this study 35 volunteers computed areas from two grade III pressure ulcers using these instruments. It was possible to conclude that results are clinically equivalent and so can be considered to follow up healing evolution from pressure ulcers.