Improved Image Reconstruction Software for Safer Tomographic Scanning
Licensing Status: Available for Licensing
Common medical scanning procedures such as CT, PET, and SPECT, expose patients to high levels of ionizing radiation, which over time can have negative health consequences. Researchers at SUNY Upstate Medical University and Syracuse University have developed a powerful new approach to reducing noise in imaging technology. This novel proximity algorithm would allow for a dramatic reduction in the amount of ionizing radiation used in common medical scans (CT, PET, SPECT, and MRI), while simultaneously enhancing the quality of the captured images.
The novelty of this technology is in the way that the two-dimensional images are reconstructed into three-dimensional images. This algorithm allows the dose of radiation to be reduced and the time of exposure to be reduced, thus making the scan faster and safer. Additionally, the resulting images are clearer, with less “noise” in the image.
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