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The research by major vendors of CT technology on show at the ECR 2010 (European Congress of Radiology) technical exhibition, March 4 - 8, 2010 at Austria Centre, Vienna.

Radiology is a medical specialty created by biology and physics. But it is an entirely different academic discipline that is the focus of the research by major vendors of CT technology on show at the ECR 10 technical exhibition. Their studies have centered on the subject that the illustrious 19th century German scientist Carl Friedrich Gauss called “the queen of sciences”: mathematics.

Each company’s attention is fixed on making CT a safer imaging modality by solving the dose/quality conundrum: attempts to reduce radiation dose for patients leads to increased noise and loss of image quality. That is because of the limitations of the filtered back projection (FBP) algorithm, which is currently the industry standard for reconstructing CT images from raw data.

Another type of algorithm, known as iterative reconstruction, is one possible solution to the problem of generating clinical pictures with low noise. It was first proposed in the 1970s. In this approach, the system creates a synthetic image, computes projections from the image, compares the original projection data, and updates the image based on the difference between the calculated and the actual projections. But the calculations are so processing power-intensive that reconstruction is too slow to be practical in a real-world radiology department.

Source: ECR

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