Medical Image Analysis Software
Image analysis enables medical device manufacturers and researchers to minimize clinical errors, unneeded tests, misdiagnosis cases, and raise care quality. ScienceSoft brings in 16 years in healthcare IT to deliver medical imaging apps backing up doctors’ experience with sophisticated algorithms.
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:
- Machine learning systems to facilitate early diagnostics for higher cure and survival rates;
- Neural networks for diagnosis validation;
- Research-specific algorithms to find hidden patterns and valuable insights to improve drug development as well as examination of complex conditions with adverse symptoms;
- Segmentation solutions to pinpoint a treatment area and thus minimize possible damage to healthy tissue during an invasive procedure;
- Applications integrating 3D imaging with virtual reality (VR) devices to enable immersive training of health specialists, patient education, and advanced diagnostics.
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 32 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 ISO 13485:2016 and IEC 62304:2006 / Amd 1:2015 standards.
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:
- ECAT7 and more
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.
Take Your Image Analysis Forward: Start with a Proof-of-Concept
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.