Aug 28, 2017

How to avoid artifacts in surgical images

medical-imaging-and-workflows 1分钟读取 last updated on: Aug 30, 2022

Video integration changes the way you share and view images in operating rooms. But what makes a good integration system? In this blog post, you’ll learn about the impact of image compression on image accuracy and artifacts.

A good video integration system should enable you to stream the raw, original content, meaning no compression (in any shape or form) takes place. Because uncompressed video is pixel-perfect, nothing is lost due to compression artifacts – and nothing is added. So there is no quality loss when transferring images, whether inside or between operating rooms. 
 

Uncompressed vs compressed

Uncompressed streaming can be done by distributing images and video over the IP network, even in the case of secondary distribution. This happens when video content is not directly routed from source to display, but goes to a device for recording or image processing (e.g. for evaluation of a surgical procedure). When that video content has been compressed, it means the initial source material is irreversible burdened, leading to artifacts in the image.  

 

Though there are various forms of compression (this will be covered in a next blog post), only uncompressed images are pixel-perfect. Just think of the copy machine that makes copies of copies: the first copy looks OK, but the quality of the second one starts to degrade. 

Without compression, images always look how they’re supposed to look. Nowhere else is this more important than in the field of healthcare imaging, where critical decisions are made based on images every day.

保持联系

接收有关我们的服务和产品的新消息

我们不会与第三方共享您的电子邮件地址

此网站受 reCAPTCHA 保护且 Google 隐私政策服务条款适用。