The healthcare industry has seen a vortex of changes in recent years from new policies to legislation to advanced use cases and innovations in technology. The diagnostic imaging technology sector witnesses several trends more toward patient-centric radiology and value-based imaging. Continuing research and development in medical imaging improves clinical analysis changing the landscape of modern medicine. Some of the new trends in medical imaging include:
Computed Tomography (CT): CT scan is the workforce of advanced medical imaging. They enable better management of patient care including high-quality image, dose guidance and regulation, and expansion of cardiac and brain imaging. Technology in CT has evolved from a single slice scanner to ultra-fast multidetector CT scanners reducing the acquisition time, increasing the spatial resolution along with modifications to reduce patient radiation dose. The potential of dual energy CT is also an exciting development that offers great promise.
Tomosynthesis or 3D mammography: It allows three-dimensional (3D) reconstruction of the breast tissue, which can then be viewed as sequential slices through the breast. This new technique reduces error and allows a thorough examination of even dense tissue and facilitates detection of tiny lung nodules and chest pathologies that can go undetected with conventional methods.
Magnetic Resonance Imaging (MRI): MRI's applications are widely used for assessment of hepatic stiffness and the stage of fibrosis in patients with liver disease. It can assist as a safer, less expensive, and accurate alternative to an invasive liver biopsy which is currently the standard for diagnosis and staging of liver fibrosis.
Cloud Technology: It enables electronic medical records to be placed on Cloud platforms to seamlessly share information with healthcare providers for completely integrated patient care.
3D Printing and Computer Aided Design: 3D-printing technique allows clinicians to produce highly detailed models of human anatomy for better planning of complex surgical cases using the data acquired from CT images.