Machine Learning and Optical Path Tracing for Automated Tasks

Deep learning models are used for various radiation oncology tasks to improve efficiency, increase accuracy and reduce errors. For example, these models may be used for: outlining organs at risk on CT or MRI image data; predicting patient-specific quality assurance results; developing novel dose calculation algorithms [1]; and Comparing proton Read more…

3D Printing: Radiation imaging and therapy applications

Innovation Award In this month’s scientific release, the 2021 ACPSEM Innovation Award winner, Dr Rance Tino, continues his 3D print series. His research work involved segmenting CT datasets to extract soft-, bone-, and lung-tissue volumes. By developing a low-cost 3D printer, he was able to manufacture simulated anthropomorphic phantoms for Read more…

Campaign: Access to Better Healthcare Technology for Everyone

The Vision: What we aspire to achieve in the future: Access to better healthcare technology for everyone Your support This campaign is to support charitable better healthcare technology activities that progress to self-sustaining in the years to come. Please consider becoming involved in our Foundation’s campaign. You can support by Read more…

Important Announcement: Making the Foundation Sustainable

‘Access to Better Healthcare Technology for Everyone‘, Dear supporters Background The Australasian College of Physical Scientists and Engineers in Medicine (ACPSEM) registered the ACPSEM Foundation Ltd (the Foundation) as an ACNC approved charitable organisation in 2017. For the purposes of sending our message out for what the Foundation aims to Read more…

Attention: 2022 PhD Award applicants

Dear members, Re: Eligible periods for PhD Awards It has just become apparent that the eligible dates shown on the betterhealthcaretechnology.org website from 2021 to now were not updated from previous years. That has meant any candidates who received their PhD award between July 2020 to December 2020 were ineligible Read more…

Clinical applications and basics of machine learning

It’s not an exaggeration to say that machine learning has taken the world by storm in the last ten years. Researchers are rapidly adopting machine learning in clinics for various medical applications, including diagnosis, prognosis and therapy. Machine learning (particularly deep learning) is well suited to automate many of the Read more…

MRI: The first clinical whole-body MRI scanner

In Parts 1-5 of this MRI story, it describes how the discovery of nuclear magnetic resonance (NMR) evolved into being a diagnostic tool for magnetic resonance imaging (MRI) of biological samples and eventually mice. The 2003 winners of the Nobel prize was based on this work. But who was the Read more…

3D Printing: A technical overview

The first 3D printing technique was reported by the Japanese inventor, Dr Hideo Kodama, which is a process that utilizes ultraviolet (UV) light to cure photo-sensitive liquid and which then becomes a solid 3D object. Charles Hull, founder of 3D Systems, later patented this technique in 1986, calling it Stereolithography Read more…