AiCE* is the world's first MR Deep Learning reconstruction technology, producing stunning MR images that are exceptionally detailed and with the low-noise properties you might expect of a high SNR image. With AiCE now expanding across a broad range of anatomies, contrast and applications, you no longer need to compromise between resolution and speed.
Sharp, clear and distinct images. See through the noise.
AiCE intelligently removes noise from images which results in higher SNR and enables increased resolution. By improving SNR you can achieve sharp, clear and distinct images utilizing the power of Deep Learning to see through the noise.
AiCE is applicable to all body regions and almost all sequences.
AiCE has expanded body imaging solutions to provide fast, accurate, and essential information to help you provide better care for your patients
Now covering up to 96% of all MR procedures**, AiCE has expanded body imaging solutions.
AiCE is designed to remove noise while maintaining MR signal and contrast
Maintaining MR signal and contrast is of utmost importance to diagnosis in MR imaging. Utilizing AI technology, AiCE is trained to intelligently differentiate between image noise and signal, meaning that you keep the diagnostic information you need, and remove unnecessary noise from images. The difference is distinct and clear images, with the contrast and anatomical features you require.
3D imaging in MR allows you to see images from a different perspective however can generate more noise as there is more data acquisition required. AiCE supports 3D imaging superbly by removing noise from 3D images to maximize your diagnostic opportunities. Now you can see sharp, clear and distinct images at 3D, another big leap forward in MRI.
Expand your MR imaging to a new realm of resolution, robustness and speed
AiCE combines with rapid scanning to boost productivity
In combination with unique Canon scan acceleration technologies like Compressed SPEEDER and Fast 3D, you have the ability to focus on faster scans and restore SNR by removing noise during image reconstruction.
AiCE can help improve consistency of calculated images
ADC map with AiCE
Quantitative images like ADC can be a very important indicator in disease diagnosis. Noise reduction with AiCE can decrease the standard deviation values, resulting in more reliable quantitative images.
Diffusion Tensor Imaging with AiCE
Diffusion Tensor Imaging can visualize white matter fiber tracts by utilizing diffusion anisotropy. In images with significant noise, diffusion anisotropy cannot be indicated clearly, however with AiCE the image quality can be improved.
Take the AiCE Challenge to find out which images are from a 3T scanner and which are from a 1.5T with AiCE Deep Learning Reconstruction (DLR) applied.
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*Advanced intelligent Clear-IQ Engine (AiCE) is not commercially available in all countries.
**Based on the IMV report on total MR Procedure Volume in 2019