MIVS Tel:

Transcription

1 Tel: MIVS 2014 Medical Imaging and Visualization Solutions Drop in centre from 10.00am-4.00pm Friday 17th Jan Bangor, Gwynedd Post Graduate Centre, Ysbyty Gwynedd, Bangor, LL57 2PW Thursday 20th Feb Cardiff Tenovus Lecture Theatre - Heath Park Campus, Cardiff Friday 21st Feb Swansea Morriston Post Graduate Centre - Morriston Hospital, Swansea SA6 6NL MIVS 2014 is a free to attend event being held at the above venues to showcase the exciting project work carried out by the NISCHR funded Advanced Medical Imaging and Visualisation Unit. Purpose of Event To raise awareness of the our project work, to promote the free services available to clinicians in Wales and to develop further collaboration opportunities. Who should attend? We invite medical specialists from all parts of the hospital to visit the roadshow. Recent projects have been undertaken with Radiology, Cardiology, Neurology, Urology, Gynaecology, and more. We are keen to investigate projects in all clinical areas. This event will involve a series of hands on demonstrations that will be running throughout the day. You can drop by at any time. However, it would be useful if you would indicate your interest in attending by sending an to: medvis-info@bangor.ac.uk.

2 The unit was established in 2011 and are one of three Biomedical Research Units funded by the Welsh Government's National Institute for Social Care and Health Research (NISCHR). It is a partnership between the Research Institute of Visual Computing (RIVIC), the NHS in Wales and Aberystwyth, Bangor, Cardiff and Swansea Universities. The Unit employs a team of eight research officers to work on projects where imaging and visualization technologies can provide added value to medical applications. MIVS 2014 Medical Imaging and Visualization Solutions Our team of researchers will be demonstrating how some of their project work can provide added value to many clinical tasks. Brief details of the demonstrations that will be taking place are on the following pages. If you would like any further information, please do not hesitate to contact us at: medvis-info@bangor.ac.uk or call

3 Education and Training Demo: VCath: A Tablet-based Neurosurgery Training Tool Aimed at: Neurosurgery, but many other procedures could be modelled VCath has been developed as an ipad App to take a neurosurgical trainee through the steps of performing a ventricular catheterisation procedure. The user is able to position and insert a catheter through the brain of a virtual 3D patient to puncture the ventricles. VCath is free to download from the Apple Store Demo: Surgical cutting for minimallyinvasive surgeries Aimed at: Junior surgeons, medical students/minimally-invasive surgical skills such as laparoscopic surgeries Haptics joysticks allow force feedback to be given to the user. See how this technology is helping to teach how to cut into tissues during a minimally invasive procedure. The goal is to practice on a computer modelled virtual so that real patients are not exposed to unnecessary risk and discomfort. Demo: Endoscope Simulator Aimed at: Anaesthetists, but also of interest to bronchoscopy, colonoscopy, etc. We are currently developing an Endoscope Simulator as a medical training tool to expose trainees to anatomical variations and difficult airways. The user interface is based on the look and feel of a real endoscope.

4 Image Analysis To register for this event, please jo.mitchell@bangor.ac.uk Demo: Improved estimates of microstructural parameters in diffusion MRI Aimed at: Neurologists, neuroscientists, radiologists Demonstrating the use of Bayesian statistical modelling to improve the estimates of microstructural parameters in the CHARMED model of diffusion MRI data. Demo: Mammographic image analysis Aimed at: Screening Radiologists Demonstrating a computer vision algorithm, specifically designed to tackle bulge effect which may cause unexpected texture and intensity variations on some mammographic images. Demo: Image Analysis for Histopathology Aimed at: Pathologists Demonstrating third party tools to view digital pathology slides as well as demonstrating various algorithms that we have developed to help segment and analyse such digital pathology cases. These images display the various steps in our novel muscle fibre segmentation algorithm

5 Image Processing To register for this event please Demo: Interactive Segmentation and Visualization Aimed at: Cardiologists, Radiologists We will introduce an interactive application for the segmentation of DICOM medical images (for the Mac OSX platform). As well as the basic yet essential tools for visualization of image slices, our tool provides advanced functionality for 3D MPR, point, curve and surface labelling, and automatic segmentation. Demo: Interactive Segmentation Techniques for Transcatheter Aortic Valve Implantation (TAVI) Aimed at: Cardiologists We will present the manual labelling process of TAVI data, which is used as the ground truth of interactive segmentation, and compare this with interactive segmentation techniques being developed in the Unit.

6 Image Guidance and Decision Support Demo: Application of projected spatial augmented reality for lumbar epidurals Aimed at: Anaesthetists, but also of interest to any procedure involving a needle puncture into a patient This project aims to develop projected augmented reality technology to assist with lumbar epidurals by projecting the 2D X-Ray image of the spine onto the patients back. Demo: : Real time Blood Flow Prediction Aimed at: Cardiologists and interventionalists We present real time flow visualization designed to be easily integrated into simulation software or decision support tools that involves biofluids flowing through complex geometries, e.g. blood through the vasculature. The Directed Particle System (DPS) technique developed by the Unit achieves this and is also capable of modelling particular features suitable for different components of surgical procedures such as the injection of contrast medium whilst using fluoroscopy, often used in interventional procedures. Our next goal is to be able to predict the resulting flow following the insertion of a stent, or an angioplasty, whilst the procedure is being performed.

7 Notes To register for this event please

8 Meet the team To register for this event please Prof Nigel John Director and Project Lead Dr Llyr ap Cenydd Collaborator Dr Marc Edwards Dr Serban Pop Jo Mitchell Senior Clerical Officer Prof Reyer Zwiggelaar Director Dr Wenda He Dr Harry Strange Prof David Marshall Director Prof Paul Rosin Director Susan Doshi Dr Gabin-Wilfried Kayumbi Dr Yi Ding Director Xianghua Xie Director and Associate Professor Jingjing Deng Dr Feng Zhao