Image Impression Recording

The data set that can be acquired on the memo Matt, Revelation R, FTM. Geometric magnification DVT include are synthesized images called Insight 2D and Insight 3D tumble biopsy, dual energy and inspect. All energy modes are read out at full resolution of the detector at 85 microns. I will display three breasts with different densities. This is the FDM image. Prime technology is utilized in standard 2D screening Anaza Grillades acquisition, reducing patient dose by up to 30%. This technology is incorporated in our software and will activate automatically. It depresses compress to 69 millimeters or less. This feature, with those savings, is perfect if you prefer acquiring FDM images in combination with Tamil, especially if you're still not comfortable with just renet synthetic image. FDM is still the gold standard for microcalcifications. You will have a visual indication which images prime has been applied to. As you will see, the asterisks behind the projection view marker just like this. Insight 2D's are synthetic 2D images, the synthetic images derived from the tunnel reconstruction. It has a very similar appearance to our FDM. If you utilize Insight 2D in your practice, you can save your patients up to 40% in dose. The classifications visualized in synthetic images are rendered via the tomosynthesis reconstruction and are not artificially augmented. This means a pseudo calcs are practically nonexistent. The FDM and the Insight 2D are right next to each other. On the mlo and then the CC down here. And this is the FDM and Insight 2D. So as you can tell, they're very similar in appearance. DBT images with a pedigree sweep. We provide the highest depth resolution in the market today. This is a critical feature as the higher the depth resolution, the more tissue separation can be achieved, benefiting the concept acuity of masses. The image impression of the tomosynthesis reconstruction is different from our competition and design, with the purpose that takes an advantage of digital technology. From a development standpoint, if you don't know what ground truth is in the breast image, logically you'll want to retain all the information in the breast to the best of the technology's ability. In principle, if the HBS, the human visual system could decipher the 12,000 plus shades of Gray from an unprocessed image, you'd be able to have all the information in its most natural state allowed by current technology. However, this is not feasible and the HPS is a limiting measure. Representing this signal, the great value in the adipose proves beneficial for two reasons. One confirming signal was seen and no missing information was missed due to the software thresholds and then two low contrast objects such as speculations that reach into adipose are not mitigated by excessive high contrast. This allows for higher conspicuity of lesions given the local contrast. Edge detection and filtering are able to separate the signal values between adipose and structure. Inside 3D is our synthetic 3D image. This rotational synthetic images derived from the tumble projections it rotates on positive and negative 17 degree axis. This is a nice image to be able to visualize the breast in the 3D space. This view could possibly replace an additional view, such as a role view. Discuss a this patient time and dose on coming back for work up that may not be necessary. Inside 3D can be acquired on every image during the time of exposure or just as needed. As long as the raw data is on the AWS, the technologist can reconstruct the image to create this rotational mammogram and push it to packs for storage. Here is a fatty breast. This is the FDM image. As you can tell, Prime is applied because you'll see the asterisks. Here is insight 2D. Here's FFDM for the CC view. An insight to D. TBT we assign fat to a grayscale. By design the press is kept in the most natural state, so important information is not lost. And here's a dense breast. This is the FFDM. Again Prime was applied 'cause you'll see the astrex behind the view name. This is insight 2D. Here's the CCUFFDM. And this is inside 2D. Here are the DVT images. Again, we assigned that to a grayscale, so by design that Brussels kept the most natural state. So we want to make sure we're retaining and keeping all that important information. And this concludes the video. Thank you for your time.

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