DICOM Library product of SOFNETA UAB won the Innovation Award 2012 in Category of Innovative Product. The company is grateful to the Organizers of the Contest for the opportunity to participate in such Contest and for the appreciation. Moreover, SOFTNETA UAB is thankful for all its team`s hard work and collaboration in realization of the innovative ideas. Lithuanian Innovation Award web page: www.inovacijuprizas.lt.
Future plans of DICOM Library Date: 2012-12-13
SOFTNETA undertakes researches on "The Analysis of the Medical Diagnostic Images Data Bank`s marketing model". SOFTNETA believes in this project and its perspectives. Due to this, the Company encourages everyone to write their requests and wishes concerning the usage of DICOM Library. You may contact us by info@dicomlibrary.com.
Image classification is in progress Date: 2012-07-20
SOFTNETA undertakes researches on "The Analysis of Medical Image automatic classifications used for data systematization". SOFTNETA invites every interested Scientific Organization and Company to participate in development of DICOM Library project. You may contact us by info@dicomlibrary.com.
Improved Image transfer method Date: 2012-03-15
SOFTNETA has completed a scientific research "The Analysis of optimal transfer algorithms and methods for Image transfer". Due to this research, the image transfer speed was increased. Moreover, image preparation service was integrated.
Improved image storage method Date: 2012-02-01
SOFTNETA has completed a scientific research "The accessibility Analysis of the Medical Diagnostic Images Data Bank and the Research of the optimal image storage method". The aim of this research was to define and analyze the main factors that influence the image storage and export rate. Due to this research the data storage and export speed was maximally increased.
Viewer updates Date: 2011-12-13
DICOM Library is now use Flash-based DICOM streaming potocol. It makes possible step by step dowload of large Medical Diagnostical Images.
Added embed DICOM image(s) object to share image(s) opened in the DICOM viewer on your web site or forum. You can find it in DICOM Study MANAGEMENT Panel after upload - Embed DICOM Study.
Before use in forum, please notify site administrator for this embed object form and usage on site.
DICOM Modality update Date: 2011-10-18
Added support of All Modalities: CR Computed radiography, CT Computed tomography, DX Digital Radiography, MG Mammography, MR Magnetic Resonance, US Ultrasound, XA X-Ray Angiography and Other.
Updated upload zip (only clear zip format) file with dicom files in it.
You can upload whole study or series compressed into zip format. If there is non dicom file - it will be skipped.
Review your study, series online Date: 2011-09-19
To see, analize and consult with others specialists, added Web based Dicom viewer - MedDream. It is fee web viewer, where you can zoom, move, change contrast, make measurements and many more actions. We hope it will be usefull.
New features Date: 2011-09-05
Added features to share uploaded files. You can share files to your most popular social networks like Facebook or Twitter. You can also send them by e-mail to a friend or other specialist.
Anonymization Date: 2011-09-01
Added patient anonymisation then uploading file. Anonymisation works on client side, so when DICOM file is anonymous - begins with uploading to server.
Dicom library is open Date: 2011-08-01
Started Dicom library project, where you can freely upload dicom files and share with colleagues.
What can you upload?
You can upload DICOM file or files packed as zip.
Zip can contain DICOM files of studies, series and others.
How upload works?
Firstly test if it DICOM file or it will be skipped. Secondly try anonymize and then upload file to server. Same goes for zip file: try to extract and read file by file, test for DICOM format or skip, anonymize and upload. All extracting and anonymization is made on your browser.
Share?
You can share uploaded files via social networks: facebook, twitter, send by e-mail and embed DICOM viewer to forum.
Anonymization?
At this point - deletes information about patient and attributes to identify a person in each DICOM file. Anonymization is done in your browser.
Do not upload files with information written on image!