mtrial
Tired of deploying image evaluation scripts on your local machine? ASL image evaluation for brain perfusion analysis can be as easy as this: click, click.
Watch this video to see how images are uploaded from your local network to the central mTRIAL server – pseudonymization on the fly and image categorizaton included.
Just imagine… evaluating brain perfusion on arterial spin labeling images was just one click away. Watch this video to see how we implemented Explore ASL in our mTRIAL platform to facilitate and standardize your next clinical study on neurodegenerative diseases.
Stay tuned to see how easy your data reaches mTRIAL.
Contact us for more information on ASL imaging and analysis.
Investigator-Initiated Trials (IITs) are pivotal in medical research, driven by independent investigators to explore new avenues and innovative medical approaches. These trials contribute significantly to advancing medical knowledge.
At mediri, we take pride in supporting researchers and clinicians in their IITs. With our expertise in imaging, we provide crucial assistance for these trials.
If you’re interested in learning more about our work or are involved in IITs, feel free to reach out to us.
Mediri is constantly evolving its image data management platform mTRIAL for secure and reliable central reads in clinical studies. Currently, mTRIAL is getting ready for RANO evaluation of low- and high-grade gliomas. Automatic interpolation of segmented volumes and easy annotation of measurements are on board. Stay posted.
Today is International Day of Radiology to promote the seismic impact of radiology on medicine – earlier detection, fewer surgeries, and game-changing treatment outcomes. Analyzing radiological images in multi centric clinical studies can be challenging considering standardization and patient data privacy.
Mediri is constantly evolving its image data management platform mTRIAL for secure and reliable central reads in clinical studies. Currently, mTRIAL is getting ready for RANO 2.0 evaluation of low- and high-grade gliomas according to the recently published update by Wen et al. Stay posted.
Many thanks to Marylène Lejeune and Carlos López Pablo at Hospital Verge da la Cinta in Tortosa for hosting our PhD Candidate Yaqeen Ali for his first secondment within the BosomShield project. Yaqeen now knows a lot more about histopathologic imaging and will work on integrating these images into mTRIAL for AI-supported prediction of breast cancer relapse probability.
Click here for more information on this project: https://bosomshield.eu/
We proudly announce the release of our new mTRIAL version. For the first time it incorporates a webbased comprehensive DICOM image viewer for platform independent and real time access of clinical trial data. Central read workflow planning and execution has been upgraded for even more reliable and efficient review of radiological data. mTRIAL 3.4. – ready to support your next image based clinical trial.
The easiest way to use FreeSurfer for brain volume measurements? Upload your FLAIR images to mTRIAL and enjoy the magic.
Interested? Don’t hesitate to contact us.
Our new mTRIAL release will come with a full featured browser based DICOM viewer on board. Designed for clinical trial data management, it supports segmentation, annotation and scoring tasks as defined in the study protocol. The OHIF based tool can be adapted to your personal needs and study requirements.
Curious? Contact us for a free demo via info@mediri.com.
We are excited to announce that mediri is working together with the Universitätsmedizin Mannheim on the project “DeepRAY“. The goal of the project is to extend mediri’s mTRIAL platform for AI-based detection of aneurysms and dissections of the aorta on CT images. This will improve the prognosis of patients with life-threatening changes in the abdominal aorta. The investBW project will run for two years and is funded by the Ministerium für Wirtschaft, Arbeit und Tourismus Baden-Württemberg.
