Methodology for the correction of a CBCT volume from the skull to the natural head position.

The orientation of the head during the acquisition of cone beam computed tomography (CBCT) is crucial for accurate cephalometric measurements. However, involuntary head movements during the scan can result in misaligned images. This study presents a method to correct the natural head position (NHP) in CBCT skull images after acquisition.

Identifying common conditions of pregnancy for women, including women from culturally and linguistically diverse backgrounds, at an Australian hospital: A survey.

Problem: Research that explores the prevalence and range of treatments sought for common conditions of pregnancy is limited, particularly for culturally and linguistically diverse (CALD) women.

Background: During pregnancy, physical and psychological conditions affect participation in the home, workplace, and community. However, treatment options may be limited, particularly for CALD women.

Secrets of Event-Based Optical Flow, Depth and Ego-Motion Estimation by Contrast Maximization.

Event cameras respond to scene dynamics and provide signals naturally suitable for motion estimation with advantages, such as high dynamic range. The emerging field of event-based vision motivates a revisit of fundamental computer vision tasks related to motion, such as optical flow and depth estimation. However, state-of-the-art event-based optical flow methods tend to originate in frame-based deep-learning methods, which require several adaptations (data conversion, loss function, etc.

Identifying priorities for Australian disability research using Q methodology.

Background: Globally, there are over an estimated one billion people with disability. Research priorities with a focus on diagnosis and treatment of conditions or policy and service initiatives, traditionally decided by researchers, may not align with priorities of those with lived experience of disability.

Objective: To explore and inform disability research for Australia, including perspectives of people with disability.

Event-Based Background-Oriented Schlieren.

Schlieren imaging is an optical technique to observe the flow of transparent media, such as air or water, without any particle seeding. However, conventional frame-based techniques require both high spatial and temporal resolution cameras, which impose bright illumination and expensive computation limitations. Event cameras offer potential advantages (high dynamic range, high temporal resolution, and data efficiency) to overcome such limitations due to their bio-inspired sensing principle.