As clinical examinations become more complex, the demands on CT scanner's performance increase, requiring improvements not only in patient care but also in workflow efficiency. This drives the need to integrate AI into the CT scanners. uCT 780, equipped with advanced AI technology, enhances image quality while reducing dose, simplifies the examination process for technicians, and offers versatility for radiologists handling a broad spectrum of clinical scenarios.
Evolve with Care
uCT 780 equipped with the DELTA deep learning reconstruction algorithm, excels in fine image details at low radiation dose, effectively bridging the gap between radiation dose reduction and patient-centric care.
DELTA
Deep learning trained algorithm (DELTA) leverages an extensive training dataset and a sophisticated 3D neural network to deliver images that are both more defined and detailed at lower radiation dose, setting a new standard in imaging excellence.
Up to 80%* radiation dose reduction at the same low contrast detectability (LCD).
Up to 98%* image noise reduction at the same dose.
Up to 155%* LCD improvement at the same dose.
Build up a 3D Neural Network Specialized for CT Imaging
Conventional 2D neural networks can only process one single image at a time, which may affect the image continuity and lead to missing structural details around lesions. In contrast, 3D neural networks support volumetric data input, maintaining data continuity while improving reconstruction speed, accuracy, and reliability.
Million-level Dataset
Leveraging a million-level data training set across diverse clinical scenarios, DELTA delivers whole-body low dose imaging with fine anatomical details.