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1.
Comput Methods Programs Biomed ; 164: 193-205, 2018 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-30195427

RESUMO

Biomedical imaging analysis typically comprises a variety of complex tasks requiring sophisticated algorithms and visualising high dimensional data. The successful integration and deployment of the enabling software to clinical (research) partners, for rigorous evaluation and testing, is a crucial step to facilitate adoption of research innovations within medical settings. In this paper, we introduce the Simple Medical Imaging Library Interface (SMILI), an object oriented open-source framework with a compact suite of objects geared for rapid biomedical imaging (cross-platform) application development and deployment. SMILI supports the development of both command-line (shell and Python scripting) and graphical applications utilising the same set of processing algorithms. It provides a substantial subset of features when compared to more complex packages, yet it is small enough to ship with clinical applications with limited overhead and has a license suitable for commercial use. After describing where SMILI fits within the existing biomedical imaging software ecosystem, by comparing it to other state-of-the-art offerings, we demonstrate its capabilities in creating a clinical application for manual measurement of cam-type lesions of the femoral head-neck region for the investigation of femoro-acetabular impingement (FAI) from three dimensional (3D) magnetic resonance (MR) images of the hip. This application for the investigation of FAI proved to be convenient for radiological analyses and resulted in high intra (ICC=0.97) and inter-observer (ICC=0.95) reliabilities for measurement of α-angles of the femoral head-neck region. We believe that SMILI is particularly well suited for prototyping biomedical imaging applications requiring user interaction and/or visualisation of 3D mesh, scalar, vector or tensor data.


Assuntos
Algoritmos , Processamento de Imagem Assistida por Computador/métodos , Gráficos por Computador , Articulação do Quadril/diagnóstico por imagem , Humanos , Interpretação de Imagem Assistida por Computador/métodos , Interpretação de Imagem Assistida por Computador/estatística & dados numéricos , Processamento de Imagem Assistida por Computador/estatística & dados numéricos , Imageamento Tridimensional/métodos , Imageamento Tridimensional/estatística & dados numéricos , Bibliotecas Digitais , Imageamento por Ressonância Magnética/métodos , Imageamento por Ressonância Magnética/estatística & dados numéricos , Software , Interface Usuário-Computador
2.
Orthop Clin North Am ; 44(4): 575-89, 2013 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-24095073

RESUMO

The concept of femoroacetabular impingement (FAI) emerged following the observation that FAI can be precipitated by acetabular reorientation and can produce new labral damage. Interest in the association between chondrolabral damage and variations in femoral and acetabular anatomy has established a causal relationship between mechanical aberration in the function of the hip joint and the development of labral and cartilage damage. The accepted definition of FAI is that it is characterized by abnormal mechanical contact between the rim of the acetabulum and the upper femur. Combinations of certain morphologies and movements may lead to FAI.


Assuntos
Impacto Femoroacetabular/terapia , Impacto Femoroacetabular/classificação , Impacto Femoroacetabular/diagnóstico , Impacto Femoroacetabular/epidemiologia , Humanos
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