Improved theranostic SPECT reconstruction for radionuclide therapy dosimetry

This work was to develop a reconstruction method for theranostic dosimetry by improving the spatial resolution and noise properties of reconstructed SPECT images (SPECTRE). Single Photon Emission Computed Tomography (SPECT) is commonly used to evaluate the radiation dose delivered to target structures and normal organs in radionuclide therapy (RNT). But Read more…

Long Axial Field of View Positron Emission Tomography

Researchers and patients alike are benefiting from a new imaging technology called ‘Long Axial Field of View (FOV) Positron Emission Tomography’, also known as ‘Total-Body PET (TB-PET)’. This technology advance enables molecular imaging studies to be performed at ultrahigh sensitivity, i.e. an order of magnitude or more higher sensitivity than Read more…

Towards personalised radionuclide therapy for theranostic techniques:   Part 1, The basics

Single Photon Emission Computed Tomography (SPECT) is commonly used to evaluate the radiation dose delivered to target structures and normal organs in radionuclide therapy (RNT). SPECT imaging is hindered by poor spatial resolution, making it difficult to accurately quantify the dose delivered to target cancer lesions. This has, in part, Read more…

Web Reminder: Ethical considerations for artificial intelligence in radiology and radiation oncology

Date: Monday Nov 28 2022 Times: NZ: 3pm (NZDT); NSW/VIC/TAS: 1pm (AEDT); QLD: 12md (AEST); SA: 12:30pm (ACDT); Darwin: 11:30am (ACST); WA: 10am (AWST) To join Zoom Meeting https://us02web.zoom.us/j/82558997430?pwd=ZjBDUncvOVlpZ0lKTm44NFF5TW5qZz09 Don’t miss yet another Better Healthcare Technology Foundation outstanding webinar topic that looks into future applied science in medicine. Presented by Read more…

Spatially-Fractionated Radiation Therapy

Palliative external beam radiotherapy plays an important role in the palliation of symptoms such as pain and bleeding caused by incurable cancers. Despite this, approximately 1/4 to 1/3 of patients do not receive symptom relief and for the ones that do respond, symptoms can return requiring further treatment …… Read 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…

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 for cancer patients

The ABC News Report, 14 March 2022: Members may not have seen the recent television coverage of ‘3D Printing for Cancer Patients’ at the Herston Biofabrication Institute. Scott Crowe’s article, 3D printing for radiotherapy, published in our Better Healthcare Technology website (July, 2021), is a member of this research group. Read more…

3D dose prescribing for prostate cancer therapy

The goal of prostate radiation therapy The goal of radiotherapy when treating patients with localised prostate cancer, is to distribute sufficient radiation dose to eradicate the tumour and as little as possible to all parts of the surrounding healthy tissues. Clinicians want to make sure that enough radiation dose reaches Read more…