Medical Imaging Technology

Our current research and development focus on digital X-ray, impedance measurements, and modality imaging technology. Our imaging solutions seek to reveal human internal structures hidden by the skin and bones, as well as to diagnose and treat disease. Our imaging systems also establish a database of normal anatomy and physiology to make it possible to identify abnormalities.

What is the CR X-ray system?

  Computed Radiography (CR) is the use of a Phosphor Imaging Plate to create a digital image. The image can be quickly produced and saved in a digital file for further analysis. It works in the following steps:

  The Image Plate (IP) is exposed with a regular X-ray generator, which causes the IP phosphoric layer within the plate to store the X-ray image. During the reading process of the plate in the scanner, a focused laser beam triggers the release of the stored X-ray image data in the form of visible light. The emitted light is detected and captured, then converted into digital electrical signals for display or printing. The internal eraser purges the residual data from the IP, which is then ready for the next exposure. The method offers a huge advantage for screening a large number of people for diagnosing osteoporosis because of its efficiency and accuracy.

  The emergence of CR Technology replaces the films, and also offers a lot more benefits than the film.

What is the Artificial Intelligence (AI) approach for breast cancer diagnosis?

  Artificial intelligence (AI) is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. In computer science AI research is defined as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term “artificial intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”.
  iCAD Second Look™ 200 applies AI technology to diagnose breast cancer. The system includes a large database of mammography reading results from top medical experts, and the software system is trained by these data and results so that it can recognize anomalies in the new mammography record and make diagnosis like

Next MetriScan – Joint bone density and electrical impedance imaging – why important?

  Our current R&D effort plans to release a new version of MetriScan that allows measuring both bone density and electrical impedance from three fingers. The system is designed to evaluate a person’s bone density for osteoporosis diagnosis, measure body fat, and identify early evidence of leukemia from the same single examination.
  Electrical impedance is measured by injecting a small amount of electrical current. The resolution of the electrical impedance imaging is generally poor because of solving a diffusion equation. Dr. Jie Zhang pioneered joint seismic wave and electrical impedance imaging for locating caves in the subsurface in geophysics in 1997. The same approach is valid for joint CT and electrical impedance imaging for medical applications. Bioelectrical Impedance Analysis (BIA) can be used to estimate fat-free body mass, and marrow conductivity anomaly is an indication for early-stage leukemia.