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Immersive Visual Analytics for Medical Images


Project Description

HiLA is a Graduate Research Industry Partnership (GRIP) that has been established to allow Monash University and its Industry partners to collaborate on common research objectives.
https://www.monash.edu/graduate-research/partnerships/grip
With the support of Monash’ partners, HiLA PhD scholarships are provided with significant benefits beyond other scholarships on offer. These benefits include:

A fully funded PhD scholarship with Monash University that is available for domestic (Australian) and international students. The 3 to 3.5 year award covers all course fees and a $30,000 AUD per year tax-free stipend;
An internship with the Industry partner - where PhD candidates will spend a portion of their candidature located on site and being supported by the partner;
Access to real world problems supported by real world data;
Where the industry partner is located overseas or interstate, travel and accommodation (when working on site with the partner);
Travel and incidental support for conferences;
Enrollment in the HiLA professional development program;

All HiLA PhD scholarships will commence in July 2019.

SUPERVISION:
The successful candidate will be supervised by Associate Professor Tim Dwyer and Dr. Maxime Cordeil from the Faculty of Information Technology and Dr. Matthew Dimmock from Faculty of Medicine, Nursing and Health Sciences.

PROJECT DETAILS:
The specific project centers around the following research opportunity:

Medical imaging technology captures slices of the 3D internal structure of the human body (e.g. bones, tissues, organs) and creates 3D digital images (e.g. CT, MRI scans). Currently, doctors, medical and legal practitioners visualise these 3D data on 2D computer screens and explore the 3D slices in order to investigate a disease or an injury. Today, Augmented and Mixed Reality (AR/MR) technology allows us to visualise and interact with 3D data in an immersive way; for example, using a mixed-reality head-mounted display such as the Microsoft Hololens, a user can interact with 3D stereoscopic virtual graphics as if they were anchored in the 3D environment. While providing a more natural visualisation space for this type of data, interacting with a 3D scan in augmented reality remains challenging. For example, how can we browse the slices of a 3D scan? How do we extract useful information? How do we zoom into certain regions of the body? Promising ways to
better interact with immersive 3D visualisations include:
- Spatial interaction: for example using gestures such as pointing of swiping to select
regions of interests in a 3D visualisation
- Tangible interaction: for example using physical devices to support fine grained
selections of CT scan slices

APPLICATION PROCESS
Candidates must fill out the online to Request to Apply form, which can be found at:

https://docs.google.com/forms/d/e/1FAIpQLSdUiAswykQg43s8qIoLfq1eKfiGCZrgnkeoT7IQXOlhdJ8TIg/viewform

Please make sure you indicate that the PhD Topic is “Immersive Visualisation of Medical Images”;

In addition to filling out the form, a copy of your academic transcripts and CV should be emailed to .

Applicants must possess a Bachelor’s or equivalent degree with first-class Honours, and/or a distinction in a research Masters degree with relevant experience (e.g., data analysis, artificial intelligence, social informatics, psychology, human-computer interaction or data visualisation). Review of applications will begin immediately and short-listed candidates will be contacted for more information and invited to interview. The successful candidate will be invited to apply to Monash with the deadline for applications being the 31st March 2018 for International students and the 31st May 2018 for Domestic students.

International students that can demonstrate English proficiency are encouraged to apply.

RELATED SUBJECTS:
Data analysis
Augmented and Virtual Reality
Artificial intelligence
Human-computer interaction
Data visualisation

Funding Notes

A fully funded PhD scholarship is available with the Human-in-the-Loop Analytics (HiLA) program at Monash University, Melbourne, Australia. View Website

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