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Deep Resolve - XA31

This Video reviews the Deep Resolve AI powered reconstruction technology.

Deep Resolve is an AI powered reconstruction technology. It takes advantage of intelligent denoising and convolution neural networks to generate high resolution images with low noise from low resolution input. So what is deep resolve? Deep Resolve is based on two technologies. Deep resolve gain for denoising and deep resolve. Sharp for high resolution. Deep Resolve Gain is an intelligent, localized denoising method to increase the signal to noise ratio SNR NMR images. SNR usually is a limiting factor for MRI affecting image quality and acquisition times. Interestingly, noise animar images is not evenly distributed. In particular, coil geometry is an acceleration. Techniques can amplify noise in central locations of the Mr Images. This means you usually have local SNR variations and it is important to consider them during image denoising. With deep resolve gain these local noise variations are addressed. So let's have a closer look at the functionality of Deep Resolve gain. In a first step, deep Resolve gain uses the acquired more data to generate a noise map. This map reflects spatial noise variations and indicates which regions have high an which regions have low noise levels. In a second step, the Mr Image and the corresponding noise map are used as an input for an intelligent denoising process. This means the noise will be reduced in an iterative process. This denoising effect is stronger in regions with low SNR as compared to regions with high SNR. The result is an intelligently denoised Mr Image with higher SNR. Deep Resolve gain automatically adapts the values to different acquisition settings. To adjust the effect to your personal preferences, you can adjust the denoising strength. You can also activate an edge enhancement to increase the sharpness of the denoised images. With deep resolve gain you can speed up scan time by higher acceleration factors or lower numbers of averages, because the denoising will restore SNR. You can also increase image quality by using smaller voxel sizes and boosting your SNR. Deep Resolve, Sharp uses a deep convolution network to increase image sharpness and improve image quality. In MRI you can either have longer scan times which enable high resolutions, or you can perform a quicker scan which results in lower resolution. With deep resolve sharp you can get high resolution in shorter scan times. The neural network at the core of deep resolve Sharp was trained by comparing a vast amount of high an low resolution data. Within the Reconstruction pipeline, deep Resolve Sharp generates a high resolution image from low resolution input. By including raw data in the reconstruction process, clinically robust results are achieved. Deep Resolve sharp is always performed in combination with deep resolve gain. The result is an image with high SNR, sharp edges and a high resolution.

Original Deep Resolve Deep Resolve Gain Deep Resolve Ghain Deep Resolve Resolution Sequence System Phaseo Physio Contrast Posilution Geometry Deep Resolve Gain Inline @ Siemens Healthcare GmbH, 2021 Routine Contrast Geometry System Inline 30 140 1700.0 Common Filter Deep Resolve Please note that the learning material is for training purposes only! For the proper use of the software or Deep Resolve Ghain Advanced Reconstruction FOV Phase High SNR 100.0 Acceleration Factor PE • Acceleration mode Deep Resolve hardware, please always use the Operator Manual or Instructions for Use (hereinafter collectively "Operator Original Slice Thickness Denoising Strength Manual") issued by Siemens Healthineers. This material is to be used as training material only and shall by Phase Partial Fourier no means substitute theOperator Manual. Any material used in this training will not be updated on a Distance Factor 140 Edge Enhancement regular basis and does not necessarily reflect the latest version of the software and hardware available at IR17.8A15.3F3A4 tk77SA15.3F3A 38.00 Reference Scans Enhancement Level En hancement Level the time of the training. The Operator Manual shall be used as your main reference, in particular for Deep Resolve Acceleration mode ' _ Acceleration Factor PE Orientation relevant safety information like warnings and cautions. Averages Note: Some functions shown in this material are optional and might not be part of yoursystem. Sharp Reference Lines PE Reference Scans Gain Sharp Sharp Phase Encoding Dir. Deep Resolve Ghain Concatenations The information in this material contains general technical descriptions of specifications and options as 3.00 *nee > Standard Kr*e > Standard AutoAlign Gain well as standard and optional features that do not always have to be present in individual cases. Certain Low SNR products, product related claims or functionalities described in the material (hereinafter collectively Coil Elements 18K coil Elemnents "Functionality") may not (yet) be commercially available in your country. Due to regulatory requirements, the future availability of said Functionalities in any specific country is not guaranteed. Please contact your local Siemens Healthineers sales representative for the most current information. The reproduction, High resolution Low resolution transmission or distribution of this training or its contents is not permitted without express written authority. Offenders will be liable for damages. All names and data of patients, parameters and input data reconstruction configuration dependent designations are fictional and examples only. All rights, including rights created by patent grant or registration of a utility model or design, are reserved.