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Novel methodology and end-user program development for medical thermal imaging applications
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A Termografia Infravermelha Médica como método alternativo de pré-diagnóstico oferece uma visão não invasiva e em tempo real dos processos fisiológicos no cenário de diagnóstico médico. Esta tese explora a aplicação da tecnologia de imagem térmica, concentrando-se especificamente na Termografia Infravermelha, para formular um novo protocolo para localização rápida e sem contato de artérias perfuradoras, bem como para os aspectos de pré-diagnóstico e monitoramento de doenças reumáticas e da coluna vertebral. A metodologia integra técnicas de análise de imagem médica com ferramentas de inteligência artificial, com o objetivo de aprimorar a precisão e a velocidade de processamento de imagens infravermelhas para aplicações médicas. O uso de imagem térmica infravermelha digital para triagem pré-diagnóstica de distúrbios musculoesqueléticos na coluna vertebral representa uma abordagem inovadora com o potencial de aprimorar a detecção precoce e o gerenciamento de distúrbios da coluna vertebral. O método desenvolvido para pré-diagnóstico por imagem térmica da coluna vertebral mostrou resultados promissores, alcançando uma alta precisão, indicando sua eficácia como uma ferramenta não invasiva e eficiente em termos de custo para triagem pré-diagnóstica. O valor preditivo positivo elevado do método sugere uma baixa taxa de falsos positivos, possibilitando a tomada de decisões informadas por profissionais de saúde sobre exames e tratamentos subsequentes. Este método melhora o tratamento do paciente e também alivia a carga sobre o sistema de saúde. Além disso, a avaliação do MITI para a localização de vasos perfurantes cutâneos demonstrou sua eficácia e confiabilidade ao fornecer informações em tempo real sobre a perfusão cutânea e a localização precisa das artérias perfurantes. Os avanços apresentados na tecnologia de imagem térmica por meio desta pesquisa têm o potencial de impactar significativamente a medicina moderna. As metodologias propostas oferecem uma solução não invasiva, eficiente em termos de custo e em tempo real para a tomada de decisões clínicas, contribuindo assim para a melhoria do cuidado ao paciente e monitoramento de doenças em várias configurações médicas.
Medical Infrared Thermal Imaging (MITI) as an alternative pre-diagnostic method provides a non-invasive and real-time insight into physiological processes within the medical diagnostic landscape. This thesis explores the application of thermal imaging technology, specifically focusing on Infrared Thermography (IRT), to formulate a novel protocol for non-contact and swift localization of perforator arteries, as well as for the pre-diagnostic and monitoring aspects of rheumatoid and spinal diseases. The methodology integrates medical image analysis techniques with artificial intelligence tools, aiming to enhance the accuracy and processing speed of infrared images for medical applications. The use of digital infrared thermal imaging for pre-diagnostic screening of spine musculoskeletal disorders represents an innovative approach with the potential to enhance early detection and management of spinal disorders. The developed method for spinal thermal imaging pre-diagnostic has shown promising outcomes, attaining high accuracy, indicating its effectiveness as a non-invasive and cost-efficient tool for pre-diagnostic screening. The elevated positive predictive value of the method suggests a low rate of false positives, enabling informed decision-making by healthcare professionals regarding subsequent diagnostic tests and treatments. This method improves patient treatment and also alleviates the burden on the healthcare system. Furthermore, the evaluation of MITI for localizing cutaneous perforator vessels demonstrated its effectiveness and reliability in providing real-time information on skin perfusion and the accurate location of perforator arteries. The advancements showcased in thermal imaging technology through this research have the potential to significantly impact modern medicine. The proposed methodologies offer a non-invasive, cost-effective, and real-time solution for clinical decision-making, thereby contributing to improved patient care and monitoring of the disease across various medical settings.
Medical Infrared Thermal Imaging (MITI) as an alternative pre-diagnostic method provides a non-invasive and real-time insight into physiological processes within the medical diagnostic landscape. This thesis explores the application of thermal imaging technology, specifically focusing on Infrared Thermography (IRT), to formulate a novel protocol for non-contact and swift localization of perforator arteries, as well as for the pre-diagnostic and monitoring aspects of rheumatoid and spinal diseases. The methodology integrates medical image analysis techniques with artificial intelligence tools, aiming to enhance the accuracy and processing speed of infrared images for medical applications. The use of digital infrared thermal imaging for pre-diagnostic screening of spine musculoskeletal disorders represents an innovative approach with the potential to enhance early detection and management of spinal disorders. The developed method for spinal thermal imaging pre-diagnostic has shown promising outcomes, attaining high accuracy, indicating its effectiveness as a non-invasive and cost-efficient tool for pre-diagnostic screening. The elevated positive predictive value of the method suggests a low rate of false positives, enabling informed decision-making by healthcare professionals regarding subsequent diagnostic tests and treatments. This method improves patient treatment and also alleviates the burden on the healthcare system. Furthermore, the evaluation of MITI for localizing cutaneous perforator vessels demonstrated its effectiveness and reliability in providing real-time information on skin perfusion and the accurate location of perforator arteries. The advancements showcased in thermal imaging technology through this research have the potential to significantly impact modern medicine. The proposed methodologies offer a non-invasive, cost-effective, and real-time solution for clinical decision-making, thereby contributing to improved patient care and monitoring of the disease across various medical settings.
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AI tools Image Processing Medical Infrared Thermal Imaging (MITI) Spinal Disorders Pre-diagnostic Screening