Head
Vessel Wall imaging with Black Blood method (Version 10)
This Protocol is to visualize the abnormalities in the vessel wall directly with multi planer voxel (MPV) based sequence. Suppressing the signal from the fluid including blood with black blood method, the examination for the diseases like arterial dissection, atherosclerotic plaque, moyamoya disease, cerebral aneurysm, vasculitis and so on can be supported.
| Sequence | FASE3D MPV |
| Parallel Acquisition | SPEEDER2.0x1.2 |
| Scan time | 5:54 |
| Resolution | 0.9x0.9 mm |
| FOV | 23 cm |
| Matrix size | 256x256 |
| Slice thickness | 0.9 mm |
| Number of slices | 200 |
| TR | 600 ms |
| TE | 28.8 ms |
| Fat suppression | SPAIR strong |
| NAQ | 1 |
Clinical solution
Advanced intelligent Clear-IQ Engine (AiCE)
AiCE is the world’s first Deep Learning Reconstruction technology for MRI. AiCE intelligently removes noise from images which can improve SNR and enable increased resolution across all applications.
AiCE is the world’s first Deep Learning Reconstruction technology for MRI. AiCE intelligently removes noise from images which can improve SNR and enable increased resolution across all applications.
Brachial Plexus Protocol (Version 9)
This Protocol allows to identify the travel of the brachial Plexus to evaluate the level of the damage for the patient with neurological disorders.
Download PAS (Link to Canon Medical global website) Download the manual for applying PAS
| Sequence | FASE3D |
| Parallel Acquisition | SPEEDER 2x1 |
| Scan time | 4:52 |
| Resolution | 1.4x1.3 mm |
| FOV | 44x33 cm |
| Matrix size | 320x256 |
| Slice thickness | 2 mm |
| Number of slices | 50 |
| TR | 2700 |
| TE | 328.5 |
| NAQ | 2 |
Coil
Atlas SPEEDER Head & Neck 1.5T
Atlas SPEEDER Spine 1.5T
Atlas SPEEDER Body 1.5T
Clinical solution
Advanced intelligent Clear-IQ Engine (AiCE)
AiCE is the world’s first Deep Learning Reconstruction technology for MRI. AiCE intelligently removes noise from images which can improve SNR and enable increased resolution across all applications.
AiCE is the world’s first Deep Learning Reconstruction technology for MRI. AiCE intelligently removes noise from images which can improve SNR and enable increased resolution across all applications.
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