Virtual

You’re invited to join the Philips ANZ DXR team for our upcoming Virtual User Group Meeting being held on Wednesday 29 November at 6:00pm AEDT. The Philips team will share educational updates and guest presenters will discuss best practice from across Australia and New Zealand.

Details:

Date: Wednesday 29 November, 2023

Time: 6:00pm - 7:30pm AEDT

Format: Live virtual webinar (you will receive the link to join the webinar when you register)

Accreditation: 2 CPD hours

At Philips, we see Spectral CT being an evolving technology where spectral information is available at all times for all patients and all examinations, empowering healthcare providers to utilise this technology routinely in their CT diagnosis.

This virtual workshop is aimed at existing and future users of Spectral CT. Participants will learn how to access and interpret the spectral information. Peer-to-peer case readings will be in a hands-on fashion, allowing participants to master interpretation for routine and practical clinical use.

Clinical efficacy and advantages of spectral information will be demonstrated using local clinical case examples from Royal Brisbane and Women’s Hospital.

Date; 12th August 2023

Time; 0945 - 1400hrs AEST

Location; Virtual - a link will be provided after registration

Target Audience; Radiologists and lead CT radiographers

Limited seats, book now to avoid disappointment!

This virtual training is dedicated to you as a Medical Physicist.

Dr. Boon and Mr. Jans will provide you with the necessary competencies needed to fulfill your regulatory responsibilities relating to the safe and effective use of the Philips Azurion interventional X-ray systems.

Course date: 17-20 April, 2023

Time: 3:00 pm - 6:00 pm SGT (UTC +8)

Delivery method: Virtual classroom

Platform of choice: Microsoft Teams

Max No. of participants: 12

Minimum No. of participants to start a class: 5

*This course will be accredited by European Board for Accreditation in Medical Physics (EBAMP).

This remote training focuses on Cardiac CT Scanner post processing applications:

1. The Comprehensive Cardiac Analysis (CCA) application is used to assess the state of the coronary arteries and to analyze functional heart data.
2. The Transcatheter Aortic Valve Implantation (TAVI) Planning application helps determine the size and shape of the aortic root anatomy, ascending aorta and left ventricular outflow tract.
3. The Cardiac Calcium Scoring (CS) option is used to estimate the amount of calcium in the coronary arteries or other organs.
4. The Multimodality Advanced Vessel Analysis (MM AVA) provides tools for visualization, assessment and measurement of vessels CT Angiograms acquisitions.

This remote training focuses on Cardiac MR Scanner post processing applications:

1. The MR Cardiac Analysis clinical application (CMR) is intended for use in processing cardiac or cardiovascular MR images. Outputs are quantitative and/or qualitative data that can be used to evaluate cardiac or cardiovascular function.
2. The Cardiac Mapping analysis allows you to verify and quantify parametric maps based on T1 and T2 mapping images.
3. The Temporal Enhancement SA LV analysis package supports temporal enhancement analysis of dynamically resolved cardiac data (multi-dynamic, multi-slice).
4. The QFlow postprocessing package calculates quantitative information as flow velocity or flow rate, visualized as 2D color flow maps overlaid on anatomical references. These flow maps can be used to view stroke volumes or analyze CSF flow.
5. The Multimodality Advanced Vessel Analysis (MM AVA) provides tools for visualization, assessment and measurement of vessels MR Angiograms acquisitions.

This remote training focuses on Oncology CT post processing applications:

1. The CT Liver Analysis application provides segmentation tools to facilitate for assessing the liver, hepatic vasculature of individual vascular segments, and physician-identified lesions.
2. The CT Lung Nodule Analysis is intended for the review and analysis of thoracic CT images, providing quantitative and characterizing information about nodules in the lung in a single study, or over the time course of several thoracic studies.
3. The CT Virtual Colonoscopy application enables fast and easy visualization of colon scans, using acquired CT images.
4. The Multimodality Tumor Tracking (MMTT) application allows the user to view imaging, perform segmentation and measurements and provides quantitative and characterizing information of oncology lesions, such as solid tumor and lymph node, for a single study or over the time course of several studies (multiple time-points, for CT, MRI or Nuclear Medicine scans).

This remote training focuses on Oncology MR post processing applications:

1. The MR Neuro Perfusion postprocessing package is meant to evaluate T2* perfusion studies and generate numerical and graphical results and maps.
2. The MR Permeability package allows the analysis of a contrast bolus passing through the tissue. The package assesses the permeability differences between tissues according to the Tofts Model.
3. The LOBI application provides a supportive tool for the visualization of subtle differences in the brain images of the same individual across time, which can be used by clinicians for the assessment of disease progression.
4. The Multimodality Tumor Tracking (MMTT) application allows the user to view imaging, perform segmentation and measurements and provides quantitative and characterizing information of oncology lesions, such as solid tumor and lymph node, for a single study or over the time course of several studies (multiple time-points, for CT, MRI or Nuclear Medicine scans).
5. The MMTT qEASL (quantitative European Association for the Study of the Liver) is response criteria optimized for liver cancer based on comparing non-contrast to contrast enhanced scans.

This remote training focuses on Spectral CT post processing applications (for IQON CT and CT7500):

1. CT Spectral Viewer allows to view and post process Spectral Based Images (SBI) datasets. The spectral result images are CT images reconstructed using advanced spectral algorithms applied to photo-scatter images generated from the IQon dual-layer spectral CT system.
2. The Spectral Advanced Vessel Analysis (sAVA) application offers a set of tools for general vascular analysis and stent planning from body and skull (head and neck) studies using Spectral CT data.
3. The Spectral Comprehensive Cardiac Analysis (sCCA) application is used to assess the state of the coronary arteries and to analyze functional heart data.
4. The Spectral Magic Glass on PACS introduces a set of tools to enhance the viewing of spectral CT images directly within the PACS viewer, in order to assist personnel in visualization and analysis of anatomical and pathological structures.

This remote training focuses on FiberTrak, iViewBOLD, Neuro Perfusion, ADA, LOBI, Permeability, SpectroView:

1. The MR FiberTrak postprocessing function is meant to visualize diffusion tensor data in the form of white matter tracts in Diffusion studies.
2. The MR IViewBOLD processing package helps to identify active regions of the brain, relying on local metabolic and hemodynamic changes that occur in activated cortical brain.
3. The MR Neuro Perfusion postprocessing package is meant to evaluate T2* perfusion studies and generate numerical and graphical results and maps.
4. The MR ADA application provides advanced supportive analysis and visualization tools of diffusion MRI images and parametric maps.
5. The LOBI application provides a supportive tool for the visualization of subtle differences in the brain images of the same individual across time, which can be used by clinicians for the assessment of disease progression.
6. The MR Permeability package allows the analysis of a contrast bolus passing through the tissue. The package assesses the permeability differences between tissues according to the Tofts Model.
7. The MR SpectroView package is used to analyze and present spectroscopy data after processing. The package can be used for the evaluation of Single Voxel and Multi Voxel (Chemical Shift Imaging CSI) data.