• Whitepapers

    Radiology workflow optimization

    Know about typical diagnostic imaging workflow, its inefficiencies, strategies for optimizing radiology workflow, quantifications of measurements and much more in this detailed whitepaper on value based healthcare.

  • Medical Devices

    Diagnostic platform

    See how QuEST engineered a new-age software platform that eases the development of modality specific applications.

  • Point of View

    Digitalization of Medical Imaging

    Digitalization of medical imaging processes results in faster and better diagnosis. Read this point of view to see if the medical devices companies are ready for the big wave of digitalization

  • Blog

    faster diagnostics

    What are the trends in diagnostic imaging industry that will enable better, faster and inexpensive diagnosis? Explore more here.

  • Rajkin G

    We want to be the most valuable partner to our clients, offering the best-in-class engineering services in medical devices, at every stage of product evolution.

  • Doctors are very interested in the new features provided by us. Thank you for your diligence and hard work.

  • CT Perfusion

    We contributed to the development of a new image analysis program to more quickly analyze CT perfusion images of the brain.

  • Acceleration of MRI Image Reconstruction using GPU

    Read more about how we helped a customer develop a new MRI image reconstruction approach that led to performance improvements up to 40x with no comprises to image quality.

  • Tomosynthesis for Dental Imaging

    Our image processing and algorithm development expertise helped fill a capability gap with a customer and led to the release of a new cutting edge tomosynthesis application for dental imaging.

  • Diagnostic platform

    See how QuEST engineered a new-age software platform that eases the development of modality specific applications.

  • Deep Learning – Early Detection of Lung Cancer with CNN

    Learn how we helped a customer in Medical Imaging ensure higher detection accuracy of cancer screening applications than the conventional image processing methods.