Makhaon Videograbber
Makhaon Videograbber
Makhaon Videograbber
Makhaon Videograbber
Makhaon Videograbber
Makhaon Videograbber
Makhaon Videograbber
Makhaon Videograbber
Makhaon Videograbber

Makhaon Videograbber

0 Reviews

FREE

App specs:

License

PAID

Version

Makhaon Videograbber 3.2.0.113

LatestUpdate

Last updated

OS

Windows 2003
Windows 8 32/64 bit
Windows 7 32/64 bit
Windows Vista 32/64 bit
Windows XP
Windows 2K

Language

EN

Makhaon Videograbber is a straightforward and practical software solution whose main purpose is to help users, mostly doctors, to capture images from medical devices and convert them to DICOM format.

These DICOM files are specially designed for storing and trasmitting information in medical imaging and come in handy to show intern organs that the eye is not able to see.

However, the DICOM format differs from some other data formats in that it maintains information in data sets. For instance, if you take an x-ray image of your chest, you can view that the DICOM image contains the patient ID and all your related data, so that the image and all the details can never be separated.

Because of its intuitive interface that Makhaon Videograbber comes with, you don’t have to perform any advanced configurations. You just simply need to specify the video source, select the recognized device and start capturing multiple images.

You can connect to endoscopes, colonoscopes or operating room cameras, then easily insert patient data such as name, diagnosis and case number.

Another feature worth mentioning is that it provides you with support for all standard DICOM character sets including Japanese, Korean and Unicode UTF-8.

Also, by using Makhaon Videograbber you have the possibility to save all the captured settings into an *.ini file, then restore it when the application starts. This way, you can maintain all your favorite configurations.

Considering all of the above, Makhaon Videograbber proves to be a reliable solution when it comes to generating DICOM files and automatically creating patient and study ID.

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