New techniques like Deep Learning Reconstruction technology are advancing medical imaging by harmonizing the trade-offs between resolution, speed and SNR. In addition, accelerated scan techniques, quantifiable imaging and methods to reduce distortion and artifacts are enhancing diagnostic capability.
AiCE intelligently removes noise from the images which results in higher SNR and enables increased resolution. Neural Network reconstruct the data only with high frequency which related to noise and structure of the image. Contrast defined by low frequency data will be kept even after the reconstruction.
In diffusion weighted imaging, distortion can be easily caused due to B0 field inhomogeneity or eddy current. RDC DWI (Reverse encoding Distortion Correction DWI) is intended to reduce distortion in phase encoding direction by estimating the distortion with generated shift maps.
The imaging with contrast media forces burden for both patients and operators. Canon offers the stable and reliable examination of non-contrast MR angiography as a pioneer of the technology.