AI-Rad Companion - Confirmation Workflow - Brain MR Job Aid
This PDF provides you an overview of the steps within the Brain MR workflow.
Brain MR Confirmation Workflow AI-Rad Companion The AI-Rad Companion Brain MR extension creates brain morphometry reports based on the T1- weighted magnetization-prepared and rapid gradient-echo (MPRAGE) series. This report contains a volumetric table with the numeric results and the following graphical visualizations of different brain regions: label map, label map fused with the original MPRAGE, deviation map, and deviation map fused with the original MPRAGE. The Brain MR extension is available with the software version VA20A and later. 1. After activating the Brain MR extension, you can view and review different brain results in the Result Preview. The 2D segment displays how AI-Rad Companion segmented and identified the different brain regions. Brain MR . 89 / 176 Patient Info MR_Neurology 2018-10-12 Female ID: Switzerland MAC Scan: 2018-07-05 15:39 Al Results Deviation map Label map Decline All Send to PACS Show Contour 2. In the AI Results list on the left side, you can select the required map, that the algorithm creates. Al Results Deviation map V Label map Job Aid | Brain MR Confirmation Workflow Effective Date: 24 SEP 2020 | HOOD05162003127044 2.1 Label map: The label map displays the different brain regions in the table on the right side of the Results Preview. Each region is displayed color-coded. Brain MR 89 / 176 Structure Patient Info Mit Neurology Lobar Gray Matter 2018-10-12 Female ID: Switzerland MAC Lobar White Matter can: 2018-07-05 15:39 cerebral Spinal Fluid White Matter Abnormalities (WMAb) Thalamus (left/right) Lateral ventricle left Lateral ventricle right Al Results 3rd ventricle Deviation map h ventricle Caudate (leftright) Label map Putamen (leftright) Pallidum (left/right) Hippocampus (left/right ) Insula (left/right) Pons Decline All Send to PACS Show Contour Mesencephalon 2.2 Deviation map: Brain MR O 89/176 Report Structure Patient Info MR_Neurology 2018-10-12 Female Normative Range ID: Switzerland_MAC Structure Absolute Normalized @ Scan: 2018-07-05 15:39 Thalamus 15.4 0.99 [0.85 - 1.02] Thalamus left 7.4 [0.42 - 0.50] Thalamus right 8.0 0.51 10.43-0.521 Putamen 14.8 0.95 10.86 - 1.06 Putamen left 0.47 [0.44 - 0.56] Al Results Putamen right 0.48 [0.41 - 0.51] Deviation map E'I Caudate 11.5 0.74 10.56-0.741 Label map Structure Midsagittal Normalized @ Formative Range O Corpus Callosum 3.58 [3.18-4.43] - Values outside of normative range Please make sure that your input data is 3D distortion corrected and check carefully the validity of the volumetric results. Decline All Send to PACS Show Conto a) The deviation map visualizes the difference between the patient’s brain volumes and an age- and gender-matched normative data base. The deviation map displays the difference for each brain regions, color-coded in order to indicate the degree of deviation from the average age- and gender-matched normative volume. You can configure the corresponding color range in the settings. SIEMENS Published by Siemens Healthcare GmbH © Siemens Healthcare GmbH, 2020 Healthineers Master Template Effective Date: 3/5/2020 | HOOD05162003074494 Job Aid Effective Date: 24 SEP 2020 | HOOD05162003127044 Job Aid | Brain MR Confirmation Workflow Effective Date: 24 SEP 2020 | HOOD05162003127044 b) The table on the right side displays the different tissue values in terms of Absolute (ml), Normalized (%) and Normative Range (%). Normalized volumes that are outside the normal range are indicated by an asterisk in the result table. If necessary, adjust the normative range or the blending ratio between the original MR image and the resulting map in the configuration settings. 3. Decide for all findings to accept or decline them by clicking the button corresponding to your decision. a) Click Decline All if you disagree with the findings. They will be marked as declined in the patient list, will be deleted and will not be sent to the PACS. Decline All Send to PACS b) Select if you want to send either the label map or deviation map or both to the PACS. The volumetric report will always be sent to the PACS. If you made all your decisions on the findings, click the Send to PACS button. The patient case will be closed and if selected the following five series will be sent to the PACS: Fused_LM, REPORT, LABEL, Fused_DM and DM. Send to PACS SIEMENS Published by Siemens Healthcare GmbH © Siemens Healthcare GmbH, 2020 Healthineers Master Template Effective Date: 3/5/2020 | HOOD05162003074494 Job Aid Effective Date: 24 SEP 2020 | HOOD05162003127044 Job Aid | Brain MR Confirmation Workflow Effective Date: 24 SEP 2020 | HOOD05162003127044 Please note that the learning material is for training purposes only! For the proper use of the software or hardware, please always use the Operator Manual or Instructions for Use (hereinafter collectively “Operator Manual”) issued by Siemens Healthineers. This material is to be used as training material only and shall by no means substitute the Operator Manual. Any material used in this training will not be updated on a regular basis and does not necessarily reflect the latest version of the software and hardware available at the time of the training. The Operator's Manual shall be used as your main reference, in particular for relevant safety information like warnings and cautions. Note: Some functions shown in this material are optional and might not be part of your system. Certain products, product related claims or functionalities (hereinafter collectively “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, 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 configuration dependent designations are fictional and examples only. 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