Foster Brent, Bagci Ulas, Papadakis Georgios Z, Mollura Daniel J
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:1909-12. doi: 10.1109/EMBC.2014.6943984.
Open source software advances research and allows for more application specific tuning in a very feasible and efficient manner. Chief among the open source platforms is the MATLAB programming environment which is very commonly used in research settings especially in the field of medical imaging. Although many scientists use MATLAB for analysis, there remains a significant lack of open source software platforms which allow for both the analysis and visualization of pathological regions within fused multi-modal medical images. There is a clear need for a MATLAB based software which allows for anatomical (i.e. CT or MRI) and functional (i.e. PET) joint visualization and quantification in an intuitive and efficient way. In particular, this software should focus on PET imaging which is being more widely used for small animal studies. We present here the structure, features, and potential applications of an open source software for the Quantitative Analysis and Visualization of PET Images (QAV-PET).
开源软件推动了研究发展,并能以非常可行且高效的方式实现更多针对特定应用的优化。开源平台中最主要的是MATLAB编程环境,它在研究环境中,尤其是医学成像领域,被广泛使用。尽管许多科学家使用MATLAB进行分析,但仍然严重缺乏能够对融合的多模态医学图像中的病理区域进行分析和可视化的开源软件平台。显然需要一个基于MATLAB的软件,以直观且高效的方式实现解剖学(即CT或MRI)和功能(即PET)的联合可视化及量化。特别是,该软件应专注于正电子发射断层显像(PET)成像,这种成像在小动物研究中应用越来越广泛。我们在此介绍一款用于PET图像定量分析与可视化(QAV-PET)的开源软件的结构、功能及潜在应用。