School of Electronics and Information Engineering, Soochow University, No.1 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
J Digit Imaging. 2019 Feb;32(1):183-197. doi: 10.1007/s10278-017-0047-6.
Ophthalmic medical images, such as optical coherence tomography (OCT) images and color photo of fundus, provide valuable information for clinical diagnosis and treatment of ophthalmic diseases. In this paper, we introduce a software system specially oriented to ophthalmic images processing, analysis, and visualization (OIPAV) to assist users. OIPAV is a cross-platform system built on a set of powerful and widely used toolkit libraries. Based on the plugin mechanism, the system has an extensible framework. It provides rich functionalities including data I/O, image processing, interaction, ophthalmic diseases detection, data analysis, and visualization. By using OIPAV, users can easily access to the ophthalmic image data manufactured from different imaging devices, facilitate workflows of processing ophthalmic images, and improve quantitative evaluations. With a satisfying function scalability and expandability, the software is applicable for both ophthalmic researchers and clinicians.
眼科医学图像,如光学相干断层扫描(OCT)图像和眼底彩色照片,为眼科疾病的临床诊断和治疗提供了有价值的信息。在本文中,我们介绍了一个专门面向眼科图像处理、分析和可视化(OIPAV)的软件系统,以帮助用户。OIPAV 是一个跨平台系统,建立在一组强大且广泛使用的工具包库之上。基于插件机制,该系统具有可扩展的框架。它提供了丰富的功能,包括数据输入/输出、图像处理、交互、眼科疾病检测、数据分析和可视化。通过使用 OIPAV,用户可以轻松访问来自不同成像设备的眼科图像数据,方便眼科图像的处理工作流程,并提高定量评估的效果。该软件具有令人满意的功能可扩展性和可扩展性,适用于眼科研究人员和临床医生。