SCENARIA View Focus Edition - Overview

Motion Correction Technology Supports More Accurate Clinical Diagnosis

In cardiac CT examinations, the various factors such as heart rate and heart movement affect image quality. With conventional image reconstruction methods, unfocused coronary arteries and artifacts caused by motion could occur, resulting in images not meeting the expected quality, which could affect the diagnosis. To help resolve these problems, Fujifilm developed Cardio StillShot, which calculates the direction and amount of movement of the subject in four dimensions based on RawData collected during cardiac CT examinations, and corrects it during image reconstruction to achieve an effective temporal resolution of up to 28 msec.*¹
The effective time resolution contributes to improved diagnostic capability by providing high-definition focused clinical images with less motion artifacts even in patients with a high heart rate.

• *1 With 0.35 sec/rot and beam pitch of 0.1719

The motion correction technology that was previously applicable to cardiac CT examinations（ECG Scan） has been applied to body examinations  without synchronization to meet further clinical demands.Body StillShot provides images with minimal motion blur by maintaining the continuity of the body axis direction over a wide range when calculating the direction and amount of movement of the subject in four dimensions from the collected RawData. The use of an algorithm that does not require ECG data makes it easier to apply to routine examinations. It can also be used in combination with Intelli IPV*², an image reconstruction technology developed utilizing AI technology, contributing to even higher image quality.

• *2 IPV stands for Iterative Progressive reconstruction with Visual modeling. Intelli IPV was developed utilizing Machine Learning, an AI technology. The performance and accuracy of the system do not automatically change after use.

Intelli IPV is an image reconstruction technique developed with AI technology*³. Reconstruction processing has been speeded up by using images obtained through sufficient iterative processing as training data. Based on the Fujifilm's Visual Model, reconstruction processing using RawData brings the NPS（Noise Power Spectrum）closer to FBP（Filtered Back Projection）and keeps the image texture, even at a high noise reduction rate. It reduces image noise by up to 90%*⁴ and radiation exposure by up to 83%.*⁵ It also improves low contrast detectability by up to 2 times.*⁵

• *3 Intelli IPV was developed utilizing Machine Learning, an AI technology. The performance and accuracy of the system do not automatically change after use.
• *4 Compared to FBP. It was measured using Intelli IPV intensity level Strong5 and tested to a water phantom. Depending on the clinical task, patient size, anatomic location, and clinical examination, the effect obtained may be smaller.
• *5 Compared to FBP. It was measured at 0.625 mm slice thickness using Intelli IPV intensity level Strong5 and tested to MITA CT IQ phantom CCT189, Phantom Laboratory using the model observer method results. Depending on the clinical task, patient size, anatomic location, and clinical examination, the effect obtained may be smaller.
• *6 Our conventional iterative reconstruction is in our conventional CT system SCENARIA. IPV stands for Iterative Progressive reconstruction with Visual modeling.

Speedy and Efficient Examinations for Everyone Involved in Clinical Practice
The workflow supporting functions, which was developed by utilizing AI technologies such as deep learning*⁷, help solve various issues in medical practice and contribute to increased efficiency and improved quality of medical care.

• *7 The performance and accuracy of the system do not automatically change after use.
• *8 AutoPositioning is an option. Since this function assists in moving the patient table for positioning, the operator needs to perform the final positioning and manually using a light localizer.
• *9 The scan range automatically calculated requires check and adjustment by the operator.

Using technology developed utilizing deep learning*⁸, Using technology developed utilizing Deep Learning, the system recognizes the anatomical landmarks of the human body from 3D camera images, allowing you to set the bed in three dimensions (vertical, front-back, and left-right) with the touch of a one-button.It can be applied to 14 different types, with various patient orientations.In addition, the AutoPositioning video can be displayed on the Touch Vision on the front of the scanner or on the monitor of the Operating Console.

The captured scanogram image can be used to automatically set the scan range. This can be expected to be shorten the setting time. By using Fujifilm's automatic organ segmentation technology*⁹, which was developed utilizing deep learning, it contributes to the scan of a total of 14 types, including the head and chest. In addition, since the margin of the scan area can be set in advance, the scan area can be customized according to the operation of each facility. The operator can also check and adjust the automatically calculated scan area.

• *10 RemoteRecon is an option for SCENARIA View Focus Edition. Please check with our local sales representative about the version of SYNAPSE 3D, which works in conjunction with RemoteRecon.

REiLI makes it happen to extract organs and simplify your work.