Demand for higher care delivery quality and value is growing. To comply with it, medical device manufacturers, researchers and innovators have to excel at their services for clinical stakeholders and help to reduce preventable clinical errors, unnecessary procedures and tests, exploratory surgeries and misdiagnosis cases.
To foster industry changes, Qrapp brings in 14 years in healthcare IT to deliver medical imaging software where sophisticated algorithms for solving clinical tasks back up caregivers’ proficiency and experience.
We offer technological support to researchers, medical innovators and medical device manufacturers for tackling complex challenges in preventing, diagnosing and treating diseases. Enabling both manual and automated (via artificial neural networks) analysis of 3D medical images, you unlock the following opportunities to the benefit of providers and patients:
You strive to supply clinical stakeholders with unprecedented medical image analysis solutions that make diagnostics, treatment and research evolve. We believe that achieving these goals depends on reliability and proficiency of the partner you choose for the journey. Our approach to your needs always includes:
Communication with professionals in your language. Being on the same page is key to ensure the results you expect. Therefore, not only our solutions speak healthcare, but everyone who will contact you.
Technical experience that matches the clinical need. Our teams of technical specialists rule over math algorithms and do the job to deliver only a reliable solution. To create high-performing and cost-effective solutions for image processing in the medical field, we bring in 30 years in C++ and R development on Linux, Windows and OS X. To support computing-intensive tasks, we also offer parallel computing and performance optimization. On top of that, we organize our workflows according to the IEC 62304:2006 / Amd 1:2015 standard.
Depending on the medical image origin and subsequent processing objectives, analysis can be done for the following modalities:
3D image analysis of particular body parts has certain specifics to it. We are ready to handle your needs in analyzing tissues, bones, muscles and organs in depth, including:
We support a wide range of common standards and specialized extensions, including:
We apply image quality improvement methods at the preprocessing stage to reduce noise, remove artefacts, compensate spatial aliasing and enhance contrast. With improved images, health specialists can ensure the right diagnosis and subsequent treatment, as well as enable automated image analysis further.
Segmentation allows us to separate a bone, tissue, vessel, organ or other analyzed structure from the surroundings. For example, to isolate brain tissue from the scull and peripheral tissue.
We leverage image fusion / registration methods either for images acquired in different modalities (e.g., CT and PET) or within one modality but in different timeframes. Fusion or registration allows monitoring a lesion's growth and form change, analyze nonlinear tissue deformations, help with interventional procedures and more.
Through quantification, we define already segmented structures on medical images with diagnostic information about their size, form, texture, morphology and specific aspects of dynamics in time.
Whether your goals lie in healthcare research, innovation or medical device manufacturing, we are ready to provide you with custom medical imaging software to tackle the challenge. We will discuss your ideas, needs and requirements and translate it into a proof-of-concept.