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IEEE Comput Graph Appl ; 39(1): 26-43, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-30869596


The visualization toolkit (VTK) is a popular cross-platform, open source toolkit for scientific and medical data visualization, processing, and analysis. It supports a wide variety of data formats, algorithms, and rendering techniques for both polygonal and volumetric data. In particular, VTK's volume rendering module has long provided a comprehensive set of features such as plane clipping, color and opacity transfer functions, lighting, and other controls needed for visualization. However, due to VTK's legacy OpenGL backend and its reliance on a deprecated API, the system did not take advantage of the latest improvements in graphics hardware or the flexibility of a programmable pipeline. Additionally, this dependence on an antiquated pipeline posed restrictions when running on emerging computing platforms, thereby limiting its overall applicability. In response to these shortcomings, the VTK community developed a new and improved volume rendering module, which not only provides a modern graphics processing unit-based implementation, but also augments its capabilities with new features such as fast volume clipping, gradient-magnitude-based opacity modulation, render to texture, and hardware-based volume picking.

Diagnóstico por Imagem , Interpretação de Imagem Assistida por Computador , Processamento de Imagem Assistida por Computador , Software , Algoritmos , Gráficos por Computador , Humanos , Dente/diagnóstico por imagem , Tronco/diagnóstico por imagem
Med Image Anal ; 33: 176-180, 2016 10.
Artigo em Inglês | MEDLINE | ID: mdl-27498015


The National Alliance for Medical Image Computing (NA-MIC) was launched in 2004 with the goal of investigating and developing an open source software infrastructure for the extraction of information and knowledge from medical images using computational methods. Several leading research and engineering groups participated in this effort that was funded by the US National Institutes of Health through a variety of infrastructure grants. This effort transformed 3D Slicer from an internal, Boston-based, academic research software application into a professionally maintained, robust, open source platform with an international leadership and developer and user communities. Critical improvements to the widely used underlying open source libraries and tools-VTK, ITK, CMake, CDash, DCMTK-were an additional consequence of this effort. This project has contributed to close to a thousand peer-reviewed publications and a growing portfolio of US and international funded efforts expanding the use of these tools in new medical computing applications every year. In this editorial, we discuss what we believe are gaps in the way medical image computing is pursued today; how a well-executed research platform can enable discovery, innovation and reproducible science ("Open Science"); and how our quest to build such a software platform has evolved into a productive and rewarding social engineering exercise in building an open-access community with a shared vision.

Diagnóstico por Imagem , Processamento de Imagem Assistida por Computador , Software , Algoritmos , Humanos , Publicação de Acesso Aberto , Reprodutibilidade dos Testes
J Am Med Inform Assoc ; 19(2): 176-80, 2012.
Artigo em Inglês | MEDLINE | ID: mdl-22081219


The National Alliance for Medical Image Computing (NA-MIC), is a multi-institutional, interdisciplinary community of researchers, who share the recognition that modern health care demands improved technologies to ease suffering and prolong productive life. Organized under the National Centers for Biomedical Computing 7 years ago, the mission of NA-MIC is to implement a robust and flexible open-source infrastructure for developing and applying advanced imaging technologies across a range of important biomedical research disciplines. A measure of its success, NA-MIC is now applying this technology to diseases that have immense impact on the duration and quality of life: cancer, heart disease, trauma, and degenerative genetic diseases. The targets of this technology range from group comparisons to subject-specific analysis.

Acesso à Informação , Processamento de Imagem Assistida por Computador , Disseminação de Informação , Software , Pesquisa Médica Translacional , Diagnóstico por Imagem , Previsões , Objetivos , Humanos , Guias de Prática Clínica como Assunto , Estados Unidos
Stud Health Technol Inform ; 85: 586-92, 2002.
Artigo em Inglês | MEDLINE | ID: mdl-15458157


We present the detailed planning and execution of the Insight Toolkit (ITK), an application programmers interface (API) for the segmentation and registration of medical image data. This public resource has been developed through the NLM Visible Human Project, and is in beta test as an open-source software offering under cost-free licensing. The toolkit concentrates on 3D medical data segmentation and registration algorithms, multimodal and multiresolution capabilities, and portable platform independent support for Windows, Linux/Unix systems. This toolkit was built using current practices in software engineering. Specifically, we embraced the concept of generic programming during the development of these tools, working extensively with C++ templates and the freedom and flexibility they allow. Software development tools for distributed consortium-based code development have been created and are also publicly available. We discuss our assumptions, design decisions, and some lessons learned.

Algoritmos , Anatomia Transversal , Cabeça/anatomia & histologia , Processamento de Imagem Assistida por Computador , Imageamento Tridimensional , Aplicações da Informática Médica , Pescoço/anatomia & histologia , Software , Interface Usuário-Computador , Sistemas Computacionais , Humanos , National Library of Medicine (U.S.) , Estados Unidos