
Hitachi has developed a new 64-ch/128 slice multi-slice CT scanner named "SCENARIA". SCENARIA adapted the friendly design not only for patients but also for radiologists and technologists. Hitachi aims the CT system pursuing all capability of "High-speed scanning", "High image quality", and "Low exposure" dosage.
Design:
The large bore which is 750mm, is useful not only for patients with a large frame but also for older patients who have difficulties of lifting their arms up.
The wide table with the width of 475mm and Hitachi’s thoughtfully designed mat with a fin allow examinations to be carried out while the whole body of the patient is wrapped up.
SCENARIA equips "Touch Vision" on the gantry where explanations and illustrations can be given to patients easily. It is compatible with 10 different languages.


The breath guide display which informs the timing of the breath hold is located at 3 different places inside the gantry for easy viewing of patient. With auto voice and breath guide display, breath holding will surely be easier to the patient.
High Performance:
The fastest possible scan can be done with 0.35s/rot. This high rotation speed can be used not only for the heart but also for any region of the whole body. To get sufficient data density in the periphery area even for maximum FOV size, Hitachi developed high-speed view rate for data collection system exclusively for SCENARIA.
New 3D image reconstruction algorithm, CORE (cone-beam reconstruction) method optimizes the range of acquired data used for reconstruction per pixel. Streak artifact, which tends to be generated from the costal bone in high-pitch scanning and motion artifact caused by the movement of the intestinal tract can be reduced resulting in good quality images.
Low Exposure Dosage:
Hitachi developed new technique to reduce image noise generated by a low dose scanning by applying the “Iterative Approximation method”. Different from the conventional image filter, Intelli IP (Iterative Processing) reduces noise by applying iterative processing to both projection data and image data based on the accuracy of statistical data. The level of noise reduction, sharpness and graininess balanced to optimize for each region by this method.
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