Mask

Example 2: Masking images

Example 2: Masking images

     This example is also available on YouTube.

Introduction

The background of medical images is black for most cases. In case an image is inverted or window/level values are adapted, these black pixels outside clinical relevant pixels might become very bright or even white.

Being in a dark room using a large screen, the user might be blended by these large white regions.

Image masking is a very good way to select a defined region where image processing shall be applied. A mask allows to define a region (the masked region) to allow image modifications whereas pixels outside the mask remain unchanged.