Extended reality (XR) is a new but rapidly evolving area of research in medical image analysis. Advanced 3D imaging technologies and software methods have been proposed for surgical planning, practice and education for a few years now; and are more recently making their way into radiology imaging for cancer visualisation and parametric localisation of tumors. XR algorithms combined with head-mounted displays have a potential to completely transform clinical practice and influence every aspect of patient management and treatment pathways. They would enable clinicians to interact with real-time data in real space, while clinical information could be superimposed on reconstructed extended reality models. The workshop Extended Reality in Medical Imaging is presented as a part of the 3rd IEEE AIVR conference later this year. We aim to bring together clinicians, image analysts, industry experts and AI-XR engineers to propose ideas and present novel solutions that have a potential to improve healthcare capabilities, reduce complexities in interpreting clinical data and improve patient care.

WORKSHOP PROGRAM

Workshop Date: December 18, 2020

Tentative Program:
1:30 PM – 3:30 PM CET (Central European Time) Session 1: Workshop XRMI (part 1)

• 1:30 PM – 1:40 PM Chair’s Introduction – Faraz Janan

• 1:40 PM – 2:20 PM  Keynote Speaker: Ulrich Eck

• 2:20 – 2:40 PM Marker Based Augmented Reality to teach eating skill for children with autism,  Raneem Al-Saedi

• 2:40 – 3:00 PM Breast 3D: An Augmented Reality System for Breast CT and MRI, Benjamin Allison

5:30 – 7:00 PM CET Session 3: Workshop XRMI (part 2)

• 5:30 – 5:40 PM Reconvening – Liyakath unisa

• 5:40 – 6:20 PM Keynote Speaker: Hoshang Kolivand

• 6:20 – 6:40 PM Augmented Reality (AR) Technology Incorporated into ASD Rehabilitation: Scoping review, Hanin A. Almurashi

• 6:40 – 7:00 PM, MIXR: A Standard Architecture for Medical Image Analysis in Augmented and Mixed Reality, Benjamin Allison

Keynote Speaker: Ulrich Eck

Ulrich Eck was born in Munich, Germany. He finished his PhD in Computer and Information Science at the Magic Vision Lab of University of South Australia. Now he is leading the research activities at the NARVIS laboratory of the Chair for Computer Aided Medical Procedures and Augmented Reality at the Technical University in Munich. His research area is Multi-Modal Augmented Reality systems for Medical Procedures, Training, and Education.

The workshop invites papers, posters and tutorials on the following topics:

1. Radiological data visualisation (CT, MRI, DBT and others)
2. Image segmentation in XR
3. Data fusion in medical imaging domain
4. Computer-Aided Diagnostic/Detection systems
5. Tumor localisation and enhancement
6. Data annotation and multi-view methods
7. AI methods applied to medical imaging in XR

All the papers should be submitted using EasyChair website under the track of “IEEE AIVR 2020 – Workshop on Extended Reality in Medical Imaging”