LightCensor: Software for Optimizing Lighting for Viewing of Medical Images
Posted Feb 16 2011 7:00pm
Description of Invention: The invention provides algorithm that when used in a mobile device (e.g. smartphone) can enhance the capabilities of mobile devices to be used by medical professionals for medical imaging.
Thanks to its swiftly improved display quality, the smartphone has been advocated by the medical imaging vendors for viewing medical images in specific conditions that require urgency of the read or when full-size workstation displays are not readily available. However, as a hand-held device, the viewing conditions of a smartphone (e.g. ambient light and hand shaking) are not predictable and may adversely affect the perceived image quality. The present invention proposes the use of the built-in sensors in iPhone-like mobile devices to detect and adapt to the viewing conditions and hand shaking. The built-in camera can be used to capture the ambient light for determining the adaptation level, which affects the brightness, contrast and color perception. The built-in accelerometers can be used to detect orientation and moving velocity of the display, which affect the perceived spatial resolution. The execution of critical tasks can be then censored based on the detected scenario. If the viewing conditions are not suitable for reading medical images, for example, then the program could halt until the viewing conditions improve.
This invention can be used by consumer-grade mobile devices which were not originally designed for medical purposes to show medical images with improved perceived image quality.
Advantages: Improved image quality of mobile devices that minimizes issues related to inadequate light conditions or hand movement.
For Licensing Information Please Contact: Michael Shmilovich Esq. NIH Office of Technology Transfer 6011 Executive Blvd. Suite 325, Rockville, MD 20852 United States Email: firstname.lastname@example.org Phone: 301-435-5019 Fax: 301-402-0220