Patient with various inflammatory conditions such as Rheumatoid Arthritis, Osteoarthritis and Psoriasis of the hand and foot. The colour maps produced with Dynamika allow detection and quantification of inflammatory burden as well as reliably differentiation of patients.
In the knee, the intraarticular, extra synovial fat pad of Hoffa (infrapatellar fat pad (IPFP)) seems to play a crusial, but not fully understood, role in Knee Osteoarthritis (KOA). New studies show that quantitative DCE-MRI correlates with in-vivo cartilage and the pain. The image above is shown with an iMAP of Initial Rate of Enhancement allowing to quantify the inflammatory activity.
Assessment of malignant tumor using our advanced curve shape analysis approach after patient motion correction.
A retrospective study of patients diagnosed with multiple sclerosis was carried out to develop novel imaging techniques to co-register T1, T2, FLAIR and contrast enhanced T1 series. Using Dynamika, correction for motion and orientation was done. Image Analysis developed capabilities to auto detect lesions based upon characteristics from all 4 protocols, enabling faster reading and reduced variability.
Ankylosing Spondylitis Analysis
Rheumatoid Arthritis Analysis
More case studies:
- To aid understanding of undifferentiated arthritis Institute of Rheumatology in Warsaw installs Image Analysis’s Dynamika Platform
- Undestanding of relationship in primary cervical cancer: correlation of combined PET/Dynamic contrast-enhanced MRI in Radiology Department of New York Sloan Kettering Cancer Centre
- Automating Analysis of the Wrist MRI in rheumatoid arthritis in Oxford Kennedy School of Rheumatology, Oxford, UK
- Quantifying Ankylosing Spondylitis and general Spondylitis from MRI, London Imperial and Oxford Kennedy School of Rheumatology
- Differentiation between early rheumatoid arthritis patients and healthy persons by conventional and dynamic contrast-enhanced MRI in Hvidovre Hospital, Copenhagen, Denmark
- Knee pain and inflammation in the infrapatellar and fat pad estimated by conventional and dynamic contrast-enhanced MRI in obese patients with osteoarthritis, Parker Institute, Copenhagen, Denmark
- Psoriatic Arthritis Patient Analysis in Hvidovre Hospital, Copenhagen, Denmark
- MRI perfusion of the heart, Atrium Medisch Centrum Parkstad, Netherlands
What Our Clients Say
- We have been using Dynamika software to analyse DCE data as part of a research project using multiparametric MRI for targeted radiotherapy treatment planning. We have found the software extremely useful compared with software delivered with our MRI scanner for a number of reasons, in particular: the ability to control each stage of the data processing, the ability to assess image quality and examine the parametric and pharmacokinetic maps in detail. Our project requires a quantitative (rather than qualitative) analysis of the DCE data and we have been very impressed with the collaborative approach of the Image Analysis support team in helping us achieve our goals. In addition, we commend the support team in providing informative and responsive training sessions and willingness to develop the software to meet the needs of our research project. Hayley Reynolds, Research Fellow, The Peter MacCullum Cancer Centre, Melbourne, Australia
- Dynamika is key to precise and accurate early diagnostics and a powerful tool for follow-up of post-op and post chemo and/or radio treatment patients. Roman Marin, Head of CT and MRI Department
- Dynamika is really fantastic! Salvatore Costantino, Post Doctoral Researcher, University of Sassari, Italy
I am a clinical-research fellow with high experience in prostate MRI analysis and reporting. I have been using Dynamika mostly to help the analysis support team to develop a PI-RADS structured reporting user interface.
The software is extremely useful and has the potential to be used in daily clinical practice. One of the most important skills of Dynamika is the capability of providing high quality tools to report prostate mpMRIs together with the possibility of assessing quantitative analysis at the same time.
Therefore, Dynamika opens a new window in the use of automated and semi-automated algorithms both for clinical and research purposes.
The integration of these two aspects is further strengthened by the remarkable competence of the support team that is constantly willing to help me when necessary.
I hope to keep on working with Dynamika and taking advantage of all its valuable tools during my clinical-research practice.
Francesco Giganti- Clinical Research Fellow, University College Hospital, London, UK
- I feel strongly that by making Dynamika available, student researchers could come up with very interesting and meaningful quantitative projects. Laura, Radiographer